From ad5ee39d4f85ef9cf8c49828ea16a397aaf754d1 Mon Sep 17 00:00:00 2001 From: Rutger Fick Date: Sun, 1 Jul 2018 21:38:21 +0200 Subject: [PATCH 01/37] initial commit ivim example --- examples/example_ivim.ipynb | 606 ++++++++++++++++++++++++++++++++++++ 1 file changed, 606 insertions(+) create mode 100644 examples/example_ivim.ipynb diff --git a/examples/example_ivim.ipynb b/examples/example_ivim.ipynb new file mode 100644 index 00000000..96464636 --- /dev/null +++ b/examples/example_ivim.ipynb @@ -0,0 +1,606 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Intravoxel incoherent motion (IVIM) imaging" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "from dipy.reconst.ivim import IvimModel\n", + "from dipy.data.fetcher import read_ivim" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating new folder /user/rfick/home/.dipy/ivim\n", + "Downloading \"ivim.bval\" to /user/rfick/home/.dipy/ivim\n", + "Download Progress: [##################################] 100.00% of 0.00 MBDownloading \"ivim.bvec\" to /user/rfick/home/.dipy/ivim\n", + "Download Progress: [##################################] 100.00% of 0.00 MBDownloading \"ivim.nii.gz\" to /user/rfick/home/.dipy/ivim\n", + "Download Progress: [##################################] 100.00% of 261.96 MBFiles successfully downloaded to /user/rfick/home/.dipy/ivim\n" + ] + } + ], + "source": [ + "img, gtab = read_ivim()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "data.shape (256, 256, 54, 21)\n" + ] + } + ], + "source": [ + "data = img.get_data()\n", + "print('data.shape (%d, %d, %d, %d)' % data.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "ivimmodel = IvimModel(gtab)" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import cProfile" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 42746423 function calls in 99.777 seconds\n", + "\n", + " Ordered by: standard name\n", + "\n", + " ncalls tottime percall cumtime percall filename:lineno(function)\n", + " 1 0.000 0.000 99.777 99.777 :1()\n", + " 145503 0.068 0.000 0.798 0.000 _methods.py:25(_amax)\n", + " 19911 0.009 0.000 0.112 0.000 _methods.py:28(_amin)\n", + " 317728 0.143 0.000 1.472 0.000 _methods.py:31(_sum)\n", + " 273711 0.117 0.000 1.270 0.000 _methods.py:37(_any)\n", + " 726822 0.306 0.000 3.273 0.000 _methods.py:40(_all)\n", + " 134440 0.255 0.000 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{method 'sum' of 'numpy.ndarray' objects}\n", + " 48237 0.012 0.000 0.012 0.000 {min}\n", + " 20800 0.031 0.000 0.031 0.000 {numpy.core.multiarray._fastCopyAndTranspose}\n", + " 4151079 1.604 0.000 1.604 0.000 {numpy.core.multiarray.array}\n", + " 4158 0.010 0.000 0.010 0.000 {numpy.core.multiarray.concatenate}\n", + " 644830 0.862 0.000 0.862 0.000 {numpy.core.multiarray.copyto}\n", + " 2444630 2.644 0.000 2.644 0.000 {numpy.core.multiarray.dot}\n", + " 664741 0.711 0.000 0.711 0.000 {numpy.core.multiarray.empty_like}\n", + " 153157 0.135 0.000 0.135 0.000 {numpy.core.multiarray.empty}\n", + " 10400 0.007 0.000 0.007 0.000 {numpy.core.multiarray.promote_types}\n", + " 688515 0.767 0.000 0.767 0.000 {numpy.core.multiarray.zeros}\n", + " 79644 0.014 0.000 0.014 0.000 {numpy.core.umath.geterrobj}\n", + " 39822 0.028 0.000 0.028 0.000 {numpy.core.umath.seterrobj}\n", + " 20800 0.205 0.000 0.205 0.000 {numpy.linalg.lapack_lite.dgelsd}\n", + " 380021 0.239 0.000 0.239 0.000 {range}\n", + "\n", + "\n" + ] + } + ], + "source": [ + "cProfile.run('ivimfit = ivimmodel.fit(data_slice)')" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "from dmipy.signal_models import gaussian_models\n", + "from dmipy.core.modeling_framework import MultiCompartmentModel\n", + "from dmipy.core.acquisition_scheme import gtab_dipy2mipy, acquisition_scheme_from_bvalues\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "ball1 = gaussian_models.G1Ball()\n", + "ball2 = gaussian_models.G1Ball()\n", + "ivim_mod = MultiCompartmentModel([ball1, ball2])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "ivim_mod.parameter_ranges['G1Ball_1_lambda_iso'] = (3, 20)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "OrderedDict([('G1Ball_1_lambda_iso', (3, 20)),\n", + " ('G1Ball_2_lambda_iso', (0.1, 3)),\n", + " ('partial_volume_0', (0.01, 0.99)),\n", + " ('partial_volume_1', (0.01, 0.99))])" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ivim_mod.parameter_ranges" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "z = 33\n", + "x1, x2 = 90, 155\n", + "y1, y2 = 90, 170\n", + "data_slice = data[x1:x2, y1:y2, z, :]" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "scheme_ivim = acquisition_scheme_from_bvalues(gtab.bvals * 1e6, gtab.bvecs, delta=1e-2, Delta=3e-2)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Using parallel processing with 8 workers.\n", + "Setup brute2fine optimizer in 0.645612955093 seconds\n", + "Fitting of 5200 voxels complete in 36.1382291317 seconds.\n", + "Average of 0.0069496594484 seconds per voxel.\n" + ] + } + ], + "source": [ + "ivim_fit = ivim_mod.fit(scheme_ivim, data_slice, mask=data_slice[..., 0] > 0, solver='brute2fine', Ns=20)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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T7ufvkuhZEMgnT9fvT6I79/0ti4VhGK8WbBAzDCPSVFSdjLUOoParWVeKns/O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\nlxpVUpedF8i7rmY1fvG/7tT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pRiYxQRBSTU1NLNppurqYrgYQ7nkfShLyvs3+2y6Nygt+sk+37enrzi+tjMpL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\nkhBxcg6AR6mglG4A8M9KqZ8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W9PvpPVrmTqj2gqdHyJKOad/3K03jN77vD0y/G4bUTP5GzbL5f+nS61rt/F7N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\nL7FAIDDQiJdYIBAYaJwDxv66zVuftD6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Jh8PR0fBFzOFwdDTaX7JtaUe8LAEcQsZIP1itE5ujUQj/gqmJ5beIiJJh2VIz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\n6SkxoXq+JqXnsBwcUXNKBKJ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5XvlpuY5oXt93RQPABPo5c65uYbcXR+H5WLfAAui7z4oJ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\nuOuQfMfURqyC7wLrBqIwIRFRNC7+k6QXytXbe4t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X116oInOwK4P30a4oOqzxoahm0IF0GCowCcDrRlD8Vee17PPu3aj2IcvRD+2z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\nNDQ0zgxzytj32xJwmXcqYXTXJE/gnS5fDgBwmafTagds+Zm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qN1QVbf+0HPuIuBwANgPAkwDQZYwZAAAo/39R5W8qFArFy4OqX2KImAKAHwDA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\nEe4XWqBmJD7OKAyW0J43TN9b1E+CgZx5DwBwgLk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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(gtab.bvals, ivim_fit.predict()[10, 10])\n", + "plt.scatter(gtab.bvals, data_slice[10, 10])" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From af0b336298b80f9fab67ee3ba1b19196abf8fd4b Mon Sep 17 00:00:00 2001 From: Rutger Fick Date: Thu, 4 Oct 2018 14:26:21 +0200 Subject: [PATCH 02/37] dipy2mipy -> dipy2dmipy, mipy2dipy->dmipy2dipy, acquisition schemes can now load dipy gtabs without delta/Delta, but need to explicity turn dummy_deltas on --- dmipy/core/acquisition_scheme.py | 26 +- dmipy/core/tests/test_acquisition_scheme.py | 6 +- dmipy/signal_models/tissue_response_models.py | 4 +- .../tissue_response/three_tissue_response.py | 4 +- .../tissue_response/white_matter_response.py | 6 +- examples/example_ivim.ipynb | 296 ++++-------------- ..._constrained_spherical_deconvolution.ipynb | 6 +- ...cascading_and_simulating_nd_datasets.ipynb | 4 +- ...torial_setting_up_acquisition_scheme.ipynb | 4 +- 9 files changed, 99 insertions(+), 257 deletions(-) diff --git a/dmipy/core/acquisition_scheme.py b/dmipy/core/acquisition_scheme.py index c5a4101b..72dc967b 100644 --- a/dmipy/core/acquisition_scheme.py +++ b/dmipy/core/acquisition_scheme.py @@ -22,8 +22,8 @@ 'unify_length_reference_delta_Delta', 'calculate_shell_bvalues_and_indices', 'check_acquisition_scheme', - 'gtab_dipy2mipy', - 'gtab_mipy2dipy' + 'gtab_dipy2dmipy', + 'gtab_dmipy2dipy' ] @@ -727,21 +727,35 @@ def check_acquisition_scheme( ) -def gtab_dipy2mipy(dipy_gradient_table): +def gtab_dipy2dmipy(dipy_gradient_table, dummy_deltas=False): "Converts a dipy gradient_table to a dmipy acquisition_scheme." if not isinstance(dipy_gradient_table, GradientTable): msg = "Input must be a dipy GradientTable object. " raise ValueError(msg) bvals = dipy_gradient_table.bvals * 1e6 bvecs = dipy_gradient_table.bvecs - delta = dipy_gradient_table.small_delta - Delta = dipy_gradient_table.big_delta + if not dummy_deltas: + if (dipy_gradient_table.small_delta is None or + dipy_gradient_table.big_delta is None): + msg = "Dmipy acquisition schemes need non-None pulse duration and " + msg += "separation (small- and big Delta). If these are not known " + msg += "for your acquisition, set `dummy_deltas=True` to assume " + msg += "these are typical values Delta=30ms and delta=10ms.\n\n" + msg += "But BE AWARE, this this will bias estimation with " + msg += "models that use delta/Delta for signal generation." + raise ValueError(msg) + else: + delta = dipy_gradient_table.small_delta + Delta = dipy_gradient_table.big_delta + else: + delta = 0.01 # 10ms + Delta = 0.03 # 30ms gtab_dmipy = acquisition_scheme_from_bvalues( bvalues=bvals, gradient_directions=bvecs, delta=delta, Delta=Delta) return gtab_dmipy -def gtab_mipy2dipy(dmipy_gradient_table): +def gtab_dmipy2dipy(dmipy_gradient_table): "Converts a dmipy acquisition scheme to a dipy gradient_table." if not isinstance(dmipy_gradient_table, DmipyAcquisitionScheme): msg = "Input must be a DmipyAcquisitionScheme object. " diff --git a/dmipy/core/tests/test_acquisition_scheme.py b/dmipy/core/tests/test_acquisition_scheme.py index 474f6412..e83dcdc1 100644 --- a/dmipy/core/tests/test_acquisition_scheme.py +++ b/dmipy/core/tests/test_acquisition_scheme.py @@ -4,7 +4,7 @@ acquisition_scheme_from_qvalues, acquisition_scheme_from_gradient_strengths, calculate_shell_bvalues_and_indices, - gtab_dipy2mipy, gtab_mipy2dipy) + gtab_dipy2dmipy, gtab_dmipy2dipy) from dipy.core.gradients import gradient_table from numpy.testing import ( assert_raises, assert_equal, assert_array_equal) @@ -163,7 +163,7 @@ def test_dipy2mipy_acquisition_converter(Nsamples=10): small_delta = 0.01 gtab_dipy = gradient_table( bvals=bvals, bvecs=bvecs, small_delta=small_delta, big_delta=big_delta) - gtab_mipy = gtab_dipy2mipy(gtab_dipy) + gtab_mipy = gtab_dipy2dmipy(gtab_dipy) assert_array_equal(gtab_mipy.bvalues / 1e6, gtab_dipy.bvals) assert_array_equal(gtab_mipy.gradient_directions, gtab_dipy.bvecs) assert_equal(np.unique(gtab_mipy.Delta), gtab_dipy.big_delta) @@ -178,7 +178,7 @@ def test_mipy2dipy_acquisition_converter(Nsamples=10): gtab_mipy = acquisition_scheme_from_bvalues( bvalues=bvals, gradient_directions=bvecs, delta=small_delta, Delta=big_delta) - gtab_dipy = gtab_mipy2dipy(gtab_mipy) + gtab_dipy = gtab_dmipy2dipy(gtab_mipy) assert_array_equal(gtab_mipy.bvalues / 1e6, gtab_dipy.bvals) assert_array_equal(gtab_mipy.gradient_directions, gtab_dipy.bvecs) assert_equal(gtab_mipy.Delta, gtab_dipy.big_delta) diff --git a/dmipy/signal_models/tissue_response_models.py b/dmipy/signal_models/tissue_response_models.py index 900813e1..87b13461 100644 --- a/dmipy/signal_models/tissue_response_models.py +++ b/dmipy/signal_models/tissue_response_models.py @@ -3,7 +3,7 @@ from dmipy.utils.spherical_convolution import real_sym_rh_basis from ..core.modeling_framework import ModelProperties from ..utils import utils -from dmipy.core.acquisition_scheme import gtab_mipy2dipy +from dmipy.core.acquisition_scheme import gtab_dmipy2dipy from dipy.reconst import dti @@ -50,7 +50,7 @@ class AnisotropicTissueResponseModel(ModelProperties): def __init__(self, acquisition_scheme, data, mu=None): self.acquisition_scheme = acquisition_scheme self.mu = mu - gtab = gtab_mipy2dipy(acquisition_scheme) + gtab = gtab_dmipy2dipy(acquisition_scheme) tenmod = dti.TensorModel(gtab) tenfit = tenmod.fit(data) evecs = tenfit.evecs diff --git a/dmipy/tissue_response/three_tissue_response.py b/dmipy/tissue_response/three_tissue_response.py index a6eefe87..5a54f341 100644 --- a/dmipy/tissue_response/three_tissue_response.py +++ b/dmipy/tissue_response/three_tissue_response.py @@ -2,7 +2,7 @@ from scipy.stats import pearsonr import numpy as np from dipy.reconst import dti -from ..core.acquisition_scheme import gtab_mipy2dipy +from ..core.acquisition_scheme import gtab_dmipy2dipy from dipy.segment.mask import median_otsu from . import white_matter_response from ..signal_models.tissue_response_models import IsotropicTissueResponseModel @@ -81,7 +81,7 @@ def three_tissue_response_dhollander16( # Make Mask b0_mask, mask = median_otsu(data, 2, 1) - gtab = gtab_mipy2dipy(acquisition_scheme) + gtab = gtab_dmipy2dipy(acquisition_scheme) tenmod = dti.TensorModel(gtab) tenfit = tenmod.fit(b0_mask) fa = tenfit.fa diff --git a/dmipy/tissue_response/white_matter_response.py b/dmipy/tissue_response/white_matter_response.py index fe697880..89f364df 100644 --- a/dmipy/tissue_response/white_matter_response.py +++ b/dmipy/tissue_response/white_matter_response.py @@ -1,5 +1,5 @@ from dipy.reconst import dti -from ..core.acquisition_scheme import gtab_mipy2dipy +from ..core.acquisition_scheme import gtab_dmipy2dipy from ..core.modeling_framework import ( MultiCompartmentSphericalHarmonicsModel) import numpy as np @@ -58,7 +58,7 @@ def white_matter_response_tournier07( # assume the data was prepared. data_to_fit = data.reshape([-1, data_shape[-1]]) - gtab = gtab_mipy2dipy(acquisition_scheme) + gtab = gtab_dmipy2dipy(acquisition_scheme) tenmod = dti.TensorModel(gtab) tenfit = tenmod.fit(data_to_fit) fa = tenfit.fa @@ -158,7 +158,7 @@ def white_matter_response_tournier13( # assume the data was prepared. data_to_fit = data.reshape([-1, data_shape[-1]]) - gtab = gtab_mipy2dipy(acquisition_scheme) + gtab = gtab_dmipy2dipy(acquisition_scheme) tenmod = dti.TensorModel(gtab) tenfit = tenmod.fit(data_to_fit) fa = tenfit.fa diff --git a/examples/example_ivim.ipynb b/examples/example_ivim.ipynb index 96464636..9aed7c4b 100644 --- a/examples/example_ivim.ipynb +++ b/examples/example_ivim.ipynb @@ -10,10 +10,17 @@ { "cell_type": "code", "execution_count": 1, - "metadata": { - "collapsed": true - }, - "outputs": [], + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/rutger/anaconda2/lib/python2.7/site-packages/h5py/__init__.py:34: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", + " from ._conv import register_converters as _register_converters\n" + ] + } + ], "source": [ "import matplotlib.pyplot as plt\n", "from dipy.reconst.ivim import IvimModel\n", @@ -29,11 +36,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Creating new folder /user/rfick/home/.dipy/ivim\n", - "Downloading \"ivim.bval\" to /user/rfick/home/.dipy/ivim\n", - "Download Progress: [##################################] 100.00% of 0.00 MBDownloading \"ivim.bvec\" to /user/rfick/home/.dipy/ivim\n", - "Download Progress: [##################################] 100.00% of 0.00 MBDownloading \"ivim.nii.gz\" to /user/rfick/home/.dipy/ivim\n", - "Download Progress: [##################################] 100.00% of 261.96 MBFiles successfully downloaded to /user/rfick/home/.dipy/ivim\n" + "Dataset is already in place. If you want to fetch it again please first remove the folder /home/rutger/.dipy/ivim \n" ] } ], @@ -44,6 +47,17 @@ { "cell_type": "code", "execution_count": 3, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "gtab.big_delta" + ] + }, + { + "cell_type": "code", + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -56,223 +70,48 @@ ], "source": [ "data = img.get_data()\n", - "print('data.shape (%d, %d, %d, %d)' % data.shape)" + "print('data.shape (%d, %d, %d, %d)' % data.shape)\n", + "z = 33\n", + "x1, x2 = 90, 155\n", + "y1, y2 = 90, 170\n", + "data_slice = data[x1:x2, y1:y2, z, :]" ] }, { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ - "ivimmodel = IvimModel(gtab)" + "ivimmodel = IvimModel(gtab)\n", + "ivimfit = ivimmodel.fit(data_slice)" ] }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 6, "metadata": { "collapsed": true }, "outputs": [], "source": [ - "import cProfile" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " 42746423 function calls in 99.777 seconds\n", - "\n", - " Ordered by: standard name\n", - "\n", - " ncalls tottime percall cumtime percall filename:lineno(function)\n", - " 1 0.000 0.000 99.777 99.777 :1()\n", - " 145503 0.068 0.000 0.798 0.000 _methods.py:25(_amax)\n", - " 19911 0.009 0.000 0.112 0.000 _methods.py:28(_amin)\n", - " 317728 0.143 0.000 1.472 0.000 _methods.py:31(_sum)\n", - " 273711 0.117 0.000 1.270 0.000 _methods.py:37(_any)\n", - " 726822 0.306 0.000 3.273 0.000 _methods.py:40(_all)\n", - " 134440 0.255 0.000 0.902 0.000 _numdiff.py:107(_prepare_bounds)\n", - " 134440 4.263 0.000 5.842 0.000 _numdiff.py:13(_adjust_scheme_to_bounds)\n", - " 134440 1.359 0.000 26.478 0.000 _numdiff.py:179(approx_derivative)\n", - " 415522 0.670 0.000 10.018 0.000 _numdiff.py:330(fun_wrapped)\n", - 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" 19911 0.004 0.000 0.004 0.000 {method 'pop' of 'dict' objects}\n", - " 1326851 1.142 0.000 1.142 0.000 {method 'ravel' of 'numpy.ndarray' objects}\n", - " 1487833 6.308 0.000 6.308 0.000 {method 'reduce' of 'numpy.ufunc' objects}\n", - " 4158 0.006 0.000 0.006 0.000 {method 'reshape' of 'numpy.ndarray' objects}\n", - " 10400 0.012 0.000 0.012 0.000 {method 'squeeze' of 'numpy.ndarray' objects}\n", - " 10400 0.010 0.000 0.075 0.000 {method 'sum' of 'numpy.ndarray' objects}\n", - " 48237 0.012 0.000 0.012 0.000 {min}\n", - " 20800 0.031 0.000 0.031 0.000 {numpy.core.multiarray._fastCopyAndTranspose}\n", - " 4151079 1.604 0.000 1.604 0.000 {numpy.core.multiarray.array}\n", - " 4158 0.010 0.000 0.010 0.000 {numpy.core.multiarray.concatenate}\n", - " 644830 0.862 0.000 0.862 0.000 {numpy.core.multiarray.copyto}\n", - " 2444630 2.644 0.000 2.644 0.000 {numpy.core.multiarray.dot}\n", - " 664741 0.711 0.000 0.711 0.000 {numpy.core.multiarray.empty_like}\n", - " 153157 0.135 0.000 0.135 0.000 {numpy.core.multiarray.empty}\n", - " 10400 0.007 0.000 0.007 0.000 {numpy.core.multiarray.promote_types}\n", - " 688515 0.767 0.000 0.767 0.000 {numpy.core.multiarray.zeros}\n", - " 79644 0.014 0.000 0.014 0.000 {numpy.core.umath.geterrobj}\n", - " 39822 0.028 0.000 0.028 0.000 {numpy.core.umath.seterrobj}\n", - " 20800 0.205 0.000 0.205 0.000 {numpy.linalg.lapack_lite.dgelsd}\n", - " 380021 0.239 0.000 0.239 0.000 {range}\n", - "\n", - "\n" - ] - } - ], - "source": [ - "cProfile.run('ivimfit = ivimmodel.fit(data_slice)')" + "from dmipy.signal_models import gaussian_models\n", + "from dmipy.core.modeling_framework import MultiCompartmentModel\n", + "from dmipy.core.acquisition_scheme import gtab_dipy2dmipy, acquisition_scheme_from_bvalues\n" ] }, { "cell_type": "code", - "execution_count": 14, - "metadata": { - "collapsed": true - }, + "execution_count": 10, + "metadata": {}, "outputs": [], "source": [ - "from dmipy.signal_models import gaussian_models\n", - "from dmipy.core.modeling_framework import MultiCompartmentModel\n", - "from dmipy.core.acquisition_scheme import gtab_dipy2mipy, acquisition_scheme_from_bvalues\n" + "scheme_ivim = gtab_dipy2dmipy(gtab, dummy_deltas=True)" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 12, "metadata": { "collapsed": true }, @@ -285,8 +124,10 @@ }, { "cell_type": "code", - "execution_count": 8, - "metadata": {}, + "execution_count": 13, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "ivim_mod.parameter_ranges['G1Ball_1_lambda_iso'] = (3, 20)" @@ -294,7 +135,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -306,7 +147,7 @@ " ('partial_volume_1', (0.01, 0.99))])" ] }, - "execution_count": 9, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -317,30 +158,7 @@ }, { "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "z = 33\n", - "x1, x2 = 90, 155\n", - "y1, y2 = 90, 170\n", - "data_slice = data[x1:x2, y1:y2, z, :]" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "scheme_ivim = acquisition_scheme_from_bvalues(gtab.bvals * 1e6, gtab.bvecs, delta=1e-2, Delta=3e-2)" - ] - }, - { - "cell_type": "code", - "execution_count": 32, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -348,19 +166,18 @@ "output_type": "stream", "text": [ "Using parallel processing with 8 workers.\n", - "Setup brute2fine optimizer in 0.645612955093 seconds\n", - "Fitting of 5200 voxels complete in 36.1382291317 seconds.\n", - "Average of 0.0069496594484 seconds per voxel.\n" + "Setup MIX optimizer in 8.01086425781e-05 seconds\n", + "COBYLA failed to find a solution: Maximum number of function evaluations has been exceeded.\n" ] } ], "source": [ - "ivim_fit = ivim_mod.fit(scheme_ivim, data_slice, mask=data_slice[..., 0] > 0, solver='brute2fine', Ns=20)" + "ivim_fit = ivim_mod.fit(scheme_ivim, data_slice, mask=data_slice[..., 0] > 0, solver='mix', Ns=20)" ] }, { "cell_type": "code", - "execution_count": 33, + "execution_count": null, "metadata": { "collapsed": true }, @@ -370,6 +187,17 @@ "%matplotlib inline" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "fig, axs = plt.subplots(nrows=4, n_cols=2)" + ] + }, { "cell_type": "code", "execution_count": 21, @@ -598,7 +426,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", - "version": "2.7.14" + "version": "2.7.13" } }, "nbformat": 4, diff --git a/examples/example_multi_compartment_constrained_spherical_deconvolution.ipynb b/examples/example_multi_compartment_constrained_spherical_deconvolution.ipynb index 5ae6a41b..0c33d786 100644 --- a/examples/example_multi_compartment_constrained_spherical_deconvolution.ipynb +++ b/examples/example_multi_compartment_constrained_spherical_deconvolution.ipynb @@ -131,7 +131,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We gratefully make use of Dipy's automatic response function estimation. We convert Dmipy's acquisition scheme to a Dipy gradient table using `gtab_mipy2dipy`." + "We gratefully make use of Dipy's automatic response function estimation. We convert Dmipy's acquisition scheme to a Dipy gradient table using `gtab_dmipy2dipy`." ] }, { @@ -151,9 +151,9 @@ } ], "source": [ - "from dmipy.core.acquisition_scheme import gtab_mipy2dipy\n", + "from dmipy.core.acquisition_scheme import gtab_dmipy2dipy\n", "from dipy.reconst.csdeconv import auto_response\n", - "gtab = gtab_mipy2dipy(scheme_hcp)\n", + "gtab = gtab_dmipy2dipy(scheme_hcp)\n", "response, ratio = auto_response(gtab, data_hcp, roi_radius=10, fa_thr=0.7)\n", "lambdas = response[0]\n", "lambdas" diff --git a/examples/tutorial_parameter_cascading_and_simulating_nd_datasets.ipynb b/examples/tutorial_parameter_cascading_and_simulating_nd_datasets.ipynb index dfe0b0b3..9d84e794 100644 --- a/examples/tutorial_parameter_cascading_and_simulating_nd_datasets.ipynb +++ b/examples/tutorial_parameter_cascading_and_simulating_nd_datasets.ipynb @@ -279,10 +279,10 @@ ], "source": [ "from dipy.reconst import dti\n", - "from dmipy.core.acquisition_scheme import gtab_mipy2dipy\n", + "from dmipy.core.acquisition_scheme import gtab_dmipy2dipy\n", "\n", "# convert dmipy acquisition scheme to dipy gradient table\n", - "gtab = gtab_mipy2dipy(acq_scheme)\n", + "gtab = gtab_dmipy2dipy(acq_scheme)\n", "# initialize the dti model\n", "tenmod = dti.TensorModel(gtab)\n", "# fit the dti model\n", diff --git a/examples/tutorial_setting_up_acquisition_scheme.ipynb b/examples/tutorial_setting_up_acquisition_scheme.ipynb index e589e0f8..f5a3a512 100644 --- a/examples/tutorial_setting_up_acquisition_scheme.ipynb +++ b/examples/tutorial_setting_up_acquisition_scheme.ipynb @@ -157,9 +157,9 @@ ], "source": [ "from dipy.core.gradients import gradient_table\n", - "from dmipy.core.acquisition_scheme import gtab_dipy2mipy\n", + "from dmipy.core.acquisition_scheme import gtab_dipy2dmipy\n", "gtab_dipy = gradient_table(bvalues, gradient_directions, big_delta=Delta, small_delta=delta)\n", - "acq_scheme_mipy = gtab_dipy2mipy(gtab_dipy)\n", + "acq_scheme_mipy = gtab_dipy2dmipy(gtab_dipy)\n", "acq_scheme_mipy.print_acquisition_info" ] }, From 3ce12cb3fea4c1b00f60392f547c5dda84e81a62 Mon Sep 17 00:00:00 2001 From: Rutger Fick Date: Thu, 4 Oct 2018 15:21:27 +0200 Subject: [PATCH 03/37] dipy2dmipy takes keyword arguments now --- dmipy/core/acquisition_scheme.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/dmipy/core/acquisition_scheme.py b/dmipy/core/acquisition_scheme.py index 72dc967b..f2aaee66 100644 --- a/dmipy/core/acquisition_scheme.py +++ b/dmipy/core/acquisition_scheme.py @@ -727,7 +727,7 @@ def check_acquisition_scheme( ) -def gtab_dipy2dmipy(dipy_gradient_table, dummy_deltas=False): +def gtab_dipy2dmipy(dipy_gradient_table, dummy_deltas=False, **kwargs): "Converts a dipy gradient_table to a dmipy acquisition_scheme." if not isinstance(dipy_gradient_table, GradientTable): msg = "Input must be a dipy GradientTable object. " @@ -751,7 +751,8 @@ def gtab_dipy2dmipy(dipy_gradient_table, dummy_deltas=False): delta = 0.01 # 10ms Delta = 0.03 # 30ms gtab_dmipy = acquisition_scheme_from_bvalues( - bvalues=bvals, gradient_directions=bvecs, delta=delta, Delta=Delta) + bvalues=bvals, gradient_directions=bvecs, delta=delta, Delta=Delta, + **kwargs) return gtab_dmipy From df89d3e1d440b5b1927b4ef0b3116649956202b6 Mon Sep 17 00:00:00 2001 From: Rutger Fick Date: Thu, 4 Oct 2018 15:22:01 +0200 Subject: [PATCH 04/37] comparison dipy vs dmipy IVIM, but main difference is data splitting / unrealistic perfusion volume fractions --- examples/example_ivim.ipynb | 278 +++++++++++++++++++----------------- 1 file changed, 149 insertions(+), 129 deletions(-) diff --git a/examples/example_ivim.ipynb b/examples/example_ivim.ipynb index 9aed7c4b..e5cb94f3 100644 --- a/examples/example_ivim.ipynb +++ b/examples/example_ivim.ipynb @@ -79,9 +79,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/rutger/anaconda2/lib/python2.7/site-packages/dipy-0.13.0-py2.7-linux-x86_64.egg/dipy/reconst/ivim.py:404: UserWarning: x0 obtained from linear fitting is not feasibile as initial guess for leastsq while estimating f and D_star. Using parameters from the linear fit.\n", + " warnings.warn(warningMsg, UserWarning)\n", + "/home/rutger/anaconda2/lib/python2.7/site-packages/dipy-0.13.0-py2.7-linux-x86_64.egg/dipy/reconst/ivim.py:498: UserWarning: x0 is unfeasible for leastsq fitting. Returning x0 values from the linear fit.\n", + " warnings.warn(warningMsg, UserWarning)\n", + "/home/rutger/anaconda2/lib/python2.7/site-packages/dipy-0.13.0-py2.7-linux-x86_64.egg/dipy/reconst/ivim.py:293: UserWarning: Bounds are violated for leastsq fitting. Returning parameters from linear fit\n", + " warnings.warn(warningMsg, UserWarning)\n" + ] + } + ], "source": [ "ivimmodel = IvimModel(gtab)\n", "ivimfit = ivimmodel.fit(data_slice)" @@ -89,7 +102,39 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[ 0.3 , 0.3 , 0.3 , ..., 0.10228682,\n", + " 0.08836809, 0.3 ],\n", + " [ 0.3 , 0.3 , 0.3 , ..., 0.07622593,\n", + " 0.09480977, 0.08430158],\n", + " [ 0.3 , 0.3 , 0.3 , ..., 0.3 ,\n", + " 0.02210754, 0.07937667],\n", + " ...,\n", + " [ 0.09430396, 0.3 , 0.3 , ..., 0.3 ,\n", + " 0.02933414, 0.07644474],\n", + " [ 0.08382624, 0.3 , 0.3 , ..., 0.29999136,\n", + " 0.29999994, 0.04675601],\n", + " [ 0.3 , 0.3 , 0.3 , ..., 0.3 ,\n", + " 0.29999998, -0.00702222]])" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ivimfit.perfusion_fraction" + ] + }, + { + "cell_type": "code", + "execution_count": 4, "metadata": { "collapsed": true }, @@ -102,11 +147,47 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Acquisition scheme summary\n", + "\n", + "total number of measurements: 21\n", + "number of b0 measurements: 1\n", + "number of DWI shells: 20\n", + "\n", + "shell_index |# of DWIs |bvalue [s/mm^2] |gradient strength [mT/m] |delta [ms] |Delta[ms] |TE[ms]\n", + "0 |1 |0 |0 |10.0 |30.0 |N/A \n", + "1 |1 |10 |7 |10.0 |30.0 |N/A \n", + "2 |1 |20 |10 |10.0 |30.0 |N/A \n", + "3 |1 |30 |12 |10.0 |30.0 |N/A \n", + "4 |1 |40 |14 |10.0 |30.0 |N/A \n", + "5 |1 |60 |17 |10.0 |30.0 |N/A \n", + "6 |1 |80 |20 |10.0 |30.0 |N/A \n", + "7 |1 |100 |22 |10.0 |30.0 |N/A \n", + "8 |1 |120 |25 |10.0 |30.0 |N/A \n", + "9 |1 |140 |27 |10.0 |30.0 |N/A \n", + "10 |1 |160 |28 |10.0 |30.0 |N/A \n", + "11 |1 |180 |30 |10.0 |30.0 |N/A \n", + "12 |1 |200 |32 |10.0 |30.0 |N/A \n", + "13 |1 |300 |39 |10.0 |30.0 |N/A \n", + "14 |1 |400 |45 |10.0 |30.0 |N/A \n", + "15 |1 |500 |51 |10.0 |30.0 |N/A \n", + "16 |1 |600 |56 |10.0 |30.0 |N/A \n", + "17 |1 |700 |60 |10.0 |30.0 |N/A \n", + "18 |1 |800 |64 |10.0 |30.0 |N/A \n", + "19 |1 |900 |68 |10.0 |30.0 |N/A \n", + "20 |1 |1000 |72 |10.0 |30.0 |N/A \n" + ] + } + ], "source": [ - "scheme_ivim = gtab_dipy2dmipy(gtab, dummy_deltas=True)" + "scheme_ivim = gtab_dipy2dmipy(gtab, dummy_deltas=True, b0_threshold=1e6, min_b_shell_distance=1e6)\n", + "scheme_ivim.print_acquisition_info" ] }, { @@ -158,7 +239,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -167,7 +248,10 @@ "text": [ "Using parallel processing with 8 workers.\n", "Setup MIX optimizer in 8.01086425781e-05 seconds\n", - "COBYLA failed to find a solution: Maximum number of function evaluations has been exceeded.\n" + "COBYLA failed to find a solution: Maximum number of function evaluations has been exceeded.\n", + "COBYLA failed to find a solution: Maximum number of function evaluations has been exceeded.\n", + "Fitting of 5200 voxels complete in 345.635720015 seconds.\n", + "Average of 0.0664684076951 seconds per voxel.\n" ] } ], @@ -177,167 +261,99 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "%matplotlib inline" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "fig, axs = plt.subplots(nrows=4, n_cols=2)" - ] - }, - { - "cell_type": "code", - "execution_count": 21, + "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "['partial_volume_1',\n", + " 'partial_volume_0',\n", + " 'G1Ball_1_lambda_iso',\n", + " 'G1Ball_2_lambda_iso']" ] }, - "execution_count": 21, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" - }, - { - "data": { - "image/png": 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T7ufvkuhZEMgnT9fvT6I79/0ti4VhGK8WbBAzDCPSVFSdjLUOoParWVeKns/O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\nlxpVUpedF8i7rmY1fvG/7tT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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" } ], "source": [ - "plt.imshow(ivim_fit.fitted_parameters['G1Ball_1_lambda_iso'])" + "ivim_fit.fitted_parameters.keys()" ] }, { "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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pRiYxQRBSTU1NLNppurqYrgYQ7nkfShLyvs3+2y6Nygt+sk+37enrzi+tjMpL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\nkhBxcg6AR6mglG4A8M9KqZ8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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "execution_count": 17, + "metadata": { + "collapsed": true + }, + "outputs": [], "source": [ - "plt.imshow(ivim_fit.fitted_parameters['G1Ball_1_lambda_iso'])" + "import matplotlib.pyplot as plt\n", + "%matplotlib inline" ] }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 40, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "-0.0008422857361330238" ] }, - "execution_count": 22, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" - }, - { - "data": { - "image/png": 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W9PvpPVrmTqj2gqdHyJKOad/3K03jN77vD0y/G4bUTP5GzbL5f+nS61rt/F7N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\nL7FAIDDQiJdYIBAYaJwDxv66zVuftD6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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" } ], "source": [ - "plt.imshow(ivim_fit.fitted_parameters['G1Ball_2_lambda_iso'])" + "ivimfit.D_star.min()" ] }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 43, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "0.9999999999999999" ] }, - "execution_count": 35, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" - }, - { - "data": { - "image/png": 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Jh8PR0fBFzOFwdDTaX7JtaUe8LAEcQsZIP1itE5ujUQj/gqmJ5beIiJJh2VIz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\n6SkxoXq+JqXnsBwcUXNKBKJ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5XvlpuY5oXt93RQPABPo5c65uYbcXR+H5WLfAAui7z4oJ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\nuOuQfMfURqyC7wLrBqIwIRFRNC7+k6QXytXbe4t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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" } ], "source": [ - "plt.imshow(ivim_fit.fitted_parameters['G1Ball_2_lambda_iso'])" + "ivimfit.D_star.max()" ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 74, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 23, + "execution_count": 74, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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X116oInOwK4P30a4oOqzxoahm0IF0GCowCcDrRlD8Vee17PPu3aj2IcvRD+2z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\nNDQ0zgxzytj32xJwmXcqYXTXJE/gnS5fDgBwmafTagds+Zm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E34U3Wb/PBrpkUuOPfLP9LsBPZxziFPsd84mcCZ7TxLpBZn5IlLtBYjBozCbnz5zuudOw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f1BEbnteZ1v78JktsFwoaBIbm9ALDnjGYDClL3OudNYoj9uwKudc8dE5CIAd4nIY0vd0Tl3O4Db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JUVbTjWwmDgtt4mHerp94FhvkEfXcSy/z76IsZ84dm4jQZMyO8Fe/LME8V+Sx8UeQAQB+ApjQ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QmSvaSJ7bNaLemhDGO1Kut7luqjrPtUW/ewdz8VbisOkeWLNGvb3nssAGDhH1R7W0jr/diz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\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efx3n9IwPN/vQsWt1/yP6nC2UqD9B03h2D5WOLpGWL5UAro8EJQbShmbwsyuK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\nYII=\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -345,37 +361,41 @@ } ], "source": [ - "plt.imshow(ivim_fit.fitted_parameters['partial_volume_1'])" + "fig, axs = plt.subplots(nrows=4, ncols=2, figsize=[12, 15])\n", + "fig.suptitle('IVIM Comparison Dmipy vs Dipy', fontsize=25, y=0.93)\n", + "axs = axs.ravel()\n", + "axs[0].set_title('Dmipy', fontsize=18)\n", + "axs[1].set_title('Dipy', fontsize=18)\n", + "axs[0].set_ylabel('S0-Predicted', fontsize=15)\n", + "axs[2].set_ylabel('perfusion fraction', fontsize=15)\n", + "axs[4].set_ylabel('D_star (perfusion)', fontsize=15)\n", + "axs[6].set_ylabel('D (diffusion)', fontsize=15)\n", + "\n", + "im = axs[0].imshow(ivim_fit.S0)\n", + "fig.colorbar(im, ax=axs[0], shrink=0.7)\n", + "im = axs[1].imshow(ivimfit.S0_predicted)\n", + "fig.colorbar(im, ax=axs[1], shrink=0.7)\n", + "im = axs[2].imshow(ivim_fit.fitted_parameters['partial_volume_0'], vmin=0., vmax=1.)\n", + "fig.colorbar(im, ax=axs[2], shrink=0.7)\n", + "im = axs[3].imshow(ivimfit.perfusion_fraction, vmin=0., vmax=1.)\n", + "fig.colorbar(im, ax=axs[3], shrink=0.7)\n", + "im = axs[4].imshow(ivim_fit.fitted_parameters['G1Ball_1_lambda_iso'] * 1e9, vmin=0, vmax=20)\n", + "fig.colorbar(im, ax=axs[4], shrink=0.7)\n", + "im = axs[5].imshow(ivimfit.D_star * 1e3, vmin=0, vmax=20)\n", + "fig.colorbar(im, ax=axs[5], shrink=0.7)\n", + "im = axs[6].imshow(ivim_fit.fitted_parameters['G1Ball_2_lambda_iso'] * 1e9, vmin=0., vmax=3)\n", + "fig.colorbar(im, ax=axs[6], shrink=0.7)\n", + "im = axs[7].imshow(ivimfit.D * 1e3, vmin=0., vmax=3)\n", + "fig.colorbar(im, ax=axs[7], shrink=0.7)" ] }, { - "cell_type": "code", - "execution_count": 24, + "cell_type": "markdown", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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uWRG2i+1y/cwuofHO9tKcxUdlUnr0RLaA9XNeCLoTUygUdY1TvsQQ8d8QcRgRd7B/a0PE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\nEe4XWqBmJD7OKAyW0J43TN9b1E+CgZx5DwBwgLk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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], "source": [ - "plt.imshow(ivim_fit.fitted_parameters['partial_volume_0'])" + "Dmipy does not split the data, Dipy does.\n", + "\n", + "What is physically correct in IVIM?" ] }, { From 40af0a185f613a7548a9c6c931874f7a40683a84 Mon Sep 17 00:00:00 2001 From: Rutger Fick Date: Sun, 28 Oct 2018 11:56:09 +0100 Subject: [PATCH 05/37] update --- dmipy/core/fitted_modeling_framework.py | 4 +- dmipy/core/modeling_framework.py | 55 ++++++++++++++++++------- dmipy/optimizers/brute2fine.py | 2 +- 3 files changed, 42 insertions(+), 19 deletions(-) diff --git a/dmipy/core/fitted_modeling_framework.py b/dmipy/core/fitted_modeling_framework.py index 17437fbf..5b24fad4 100644 --- a/dmipy/core/fitted_modeling_framework.py +++ b/dmipy/core/fitted_modeling_framework.py @@ -35,11 +35,11 @@ class FittedMultiCompartmentModel: fitted model parameters array. """ - def __init__(self, model, S0, mask, fitted_parameters_vector): + def __init__(self, model, mask, fitted_parameters_vector): self.model = model - self.S0 = S0 self.mask = mask self.fitted_parameters_vector = fitted_parameters_vector + self.S0 = self.fitted_parameters_vector[..., 0] @property def fitted_parameters(self): diff --git a/dmipy/core/modeling_framework.py b/dmipy/core/modeling_framework.py index c0aca6e2..c4e8a7d5 100644 --- a/dmipy/core/modeling_framework.py +++ b/dmipy/core/modeling_framework.py @@ -837,6 +837,37 @@ def _check_tissue_model_acquisition_scheme(self, acquisition_scheme): msg += "model are not the same." raise ValueError(msg) + def _add_S0_parameter(self, data, mask=None, optimize_S0=False): + + if self.scheme.TE is None or len(np.unique(self.scheme.TE)) == 1: + S0 = np.mean(data[..., self.scheme.b0_mask], axis=-1) + else: # if multiple TE are in the data + S0 = np.ones_like(data) + for TE_ in self.scheme.shell_TE: + TE_mask = self.scheme.TE == TE_ + TE_b0_mask = np.all([self.scheme.b0_mask, TE_mask], axis=0) + S0[..., TE_mask] = np.mean( + data[..., TE_b0_mask], axis=-1)[..., None] + + parameter_scale = S0.max() + S0_norm = S0 / parameter_scale + range_max = S0_norm * 1.1 + parameter_card = 1 + parameter_flag = optimize_S0 + + self._add_optimization_parameter( + 'S0', + [0., range_max], + parameter_scale, + parameter_card, + 'intensity', + parameter_flag) + + if optimize_S0: + self.set_initial_guess_parameter('S0', S0) + else: + self.set_fixed_parameter('S0', S0) + class MultiCompartmentModel(MultiCompartmentModelProperties): r''' @@ -885,7 +916,7 @@ def _check_for_NMR_and_other_models(self): msg += " into a MultiCompartmentModel." raise ValueError(msg) - def fit(self, acquisition_scheme, data, + def fit(self, acquisition_scheme, data, optimize_S0=False, mask=None, solver='brute2fine', Ns=5, maxiter=300, N_sphere_samples=30, use_parallel_processing=have_pathos, number_of_processors=None): @@ -967,19 +998,10 @@ def fit(self, acquisition_scheme, data, """ self._check_tissue_model_acquisition_scheme(acquisition_scheme) self._check_model_params_with_acquisition_params(acquisition_scheme) - - # estimate S0 self.scheme = acquisition_scheme - data_ = np.atleast_2d(data) - if self.scheme.TE is None or len(np.unique(self.scheme.TE)) == 1: - S0 = np.mean(data_[..., self.scheme.b0_mask], axis=-1) - else: # if multiple TE are in the data - S0 = np.ones_like(data_) - for TE_ in self.scheme.shell_TE: - TE_mask = self.scheme.TE == TE_ - TE_b0_mask = np.all([self.scheme.b0_mask, TE_mask], axis=0) - S0[..., TE_mask] = np.mean( - data_[..., TE_b0_mask], axis=-1)[..., None] + # estimate S0 + data_ = np.atleast_2d(data,) + self._add_S0_parameter(data_, mask, optimize_S0) if mask is None: mask = data_[..., 0] > 0 @@ -1032,11 +1054,12 @@ def fit(self, acquisition_scheme, data, start = time() for idx, pos in enumerate(zip(*mask_pos)): - voxel_E = data_[pos] / S0[pos] + voxel_E = data_[pos] # / S0[pos] voxel_x0_vector = x0_[pos] if solver == 'brute2fine': if global_brute.global_optimization_grid is True: - voxel_x0_vector = global_brute(voxel_E) + voxel_x0_vector = global_brute( + voxel_E / voxel_x0_vector[0]) fit_args = (voxel_E, voxel_x0_vector) if use_parallel_processing: @@ -1058,7 +1081,7 @@ def fit(self, acquisition_scheme, data, fitted_parameters_lin * self.scales_for_optimization) return FittedMultiCompartmentModel( - self, S0, mask, fitted_parameters) + self, mask, fitted_parameters) def simulate_signal(self, acquisition_scheme, parameters_array_or_dict): """ diff --git a/dmipy/optimizers/brute2fine.py b/dmipy/optimizers/brute2fine.py index 3c5888e3..f966bc66 100644 --- a/dmipy/optimizers/brute2fine.py +++ b/dmipy/optimizers/brute2fine.py @@ -255,7 +255,7 @@ def objective_function(self, parameter_vector, data): self.model.parameter_vector_to_parameters(parameter_vector_) ) E_model = self.model(self.acquisition_scheme, **parameters) - E_diff = E_model - data + E_diff = E_model - data / parameter_vector[0] # first is S0 objective = np.dot(E_diff, E_diff) / len(data) return objective From 00862b5bd6321e89e4b50fafb88cbe95d3269ce4 Mon Sep 17 00:00:00 2001 From: Lucas Fidon Date: Fri, 2 Nov 2018 02:22:12 +0100 Subject: [PATCH 06/37] fixed acquisition pruning for schemes without deltas --- dmipy/core/acquisition_scheme.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/dmipy/core/acquisition_scheme.py b/dmipy/core/acquisition_scheme.py index 954c40f4..c6cd2d4c 100644 --- a/dmipy/core/acquisition_scheme.py +++ b/dmipy/core/acquisition_scheme.py @@ -362,8 +362,12 @@ def return_pruned_acquisition_scheme(self, shell_indices, data=None): bvals = self.bvalues[mask] gradient_directions = self.gradient_directions[mask] - delta = self.delta[mask] - Delta = self.Delta[mask] + delta = None + Delta = None + if self.delta is not None: + delta = self.delta[mask] + if self.Delta is not None: + Delta = self.Delta[mask] if self.TE is not None: TE = self.TE[mask] else: From 615b3c2761d0db93ea9e7fdd0b64f0cd3e309d33 Mon Sep 17 00:00:00 2001 From: Lucas Fidon Date: Fri, 2 Nov 2018 02:23:29 +0100 Subject: [PATCH 07/37] added S0 fitting for schemes without b0 measurements, and bugfix for initial guess parameters --- dmipy/core/modeling_framework.py | 52 +++++++++++++++++++++----------- 1 file changed, 35 insertions(+), 17 deletions(-) diff --git a/dmipy/core/modeling_framework.py b/dmipy/core/modeling_framework.py index c4e8a7d5..63f35b23 100644 --- a/dmipy/core/modeling_framework.py +++ b/dmipy/core/modeling_framework.py @@ -471,6 +471,7 @@ def set_initial_guess_parameter(self, parameter_name, value): msg = '{} does not exist or has already been fixed.'.format( parameter_name) raise ValueError(msg) + self.parameter_optimization_flags[parameter_name] = True def _add_initial_guess_parameter_array( self, parameter_name, parameter_array): @@ -506,6 +507,9 @@ def set_fixed_parameter(self, parameter_name, value): float(value)) elif isinstance(value, np.ndarray): self._add_fixed_parameter_array(parameter_name, value) + else: + msg = 'parameter_name must be a float or an ND-array.' + raise ValueError(msg) elif card == 2: value = np.array(value, dtype=float) if value.shape[-1] != 2: @@ -838,16 +842,30 @@ def _check_tissue_model_acquisition_scheme(self, acquisition_scheme): raise ValueError(msg) def _add_S0_parameter(self, data, mask=None, optimize_S0=False): - - if self.scheme.TE is None or len(np.unique(self.scheme.TE)) == 1: - S0 = np.mean(data[..., self.scheme.b0_mask], axis=-1) - else: # if multiple TE are in the data - S0 = np.ones_like(data) - for TE_ in self.scheme.shell_TE: - TE_mask = self.scheme.TE == TE_ - TE_b0_mask = np.all([self.scheme.b0_mask, TE_mask], axis=0) - S0[..., TE_mask] = np.mean( - data[..., TE_b0_mask], axis=-1)[..., None] + scheme_has_b0s = np.sum(self.scheme.b0_mask) > 0 + if scheme_has_b0s: + if self.scheme.TE is None or len(np.unique(self.scheme.TE)) == 1: + S0 = np.mean(data[..., self.scheme.b0_mask], axis=-1) + else: # if multiple TE are in the data + S0 = np.ones_like(data) + for TE_ in self.scheme.shell_TE: + TE_mask = self.scheme.TE == TE_ + TE_b0_mask = np.all([self.scheme.b0_mask, TE_mask], axis=0) + S0[..., TE_mask] = np.mean( + data[..., TE_b0_mask], axis=-1)[..., None] + else: + if optimize_S0: + "fit each voxel using 2nd order polynomial" + S0 = np.zeros(data.shape[:-1]) + mask_pos = np.where(mask) + for pos in zip(*mask_pos): + _, neg_log_S0 = np.polyfit( + x=self.scheme.bvalues, y=-np.log(data[pos]), deg=1) + S0[pos] = np.exp(-neg_log_S0) + else: + msg = "optimize_S0 must be True when the acquisition scheme " + msg += "has no b0 measurements." + raise ValueError(msg) parameter_scale = S0.max() S0_norm = S0 / parameter_scale @@ -863,6 +881,8 @@ def _add_S0_parameter(self, data, mask=None, optimize_S0=False): 'intensity', parameter_flag) + + if optimize_S0: self.set_initial_guess_parameter('S0', S0) else: @@ -1001,12 +1021,12 @@ def fit(self, acquisition_scheme, data, optimize_S0=False, self.scheme = acquisition_scheme # estimate S0 data_ = np.atleast_2d(data,) - self._add_S0_parameter(data_, mask, optimize_S0) - if mask is None: mask = data_[..., 0] > 0 else: mask = np.all([mask, data_[..., 0] > 0], axis=0) + self._add_S0_parameter(data_, mask, optimize_S0) + mask_pos = np.where(mask) N_parameters = len(self.bounds_for_optimization) @@ -1019,7 +1039,7 @@ def fit(self, acquisition_scheme, data, optimize_S0=False, data_, x0_) x0_bool = np.all( np.isnan(x0_), axis=tuple(np.arange(x0_.ndim - 1))) - x0_[..., ~x0_bool] /= self.scales_for_optimization[~x0_bool] + # x0_[..., ~x0_bool] /= self.scales_for_optimization[~x0_bool] if use_parallel_processing and not have_pathos: msg = 'Cannot use parallel processing without pathos.' @@ -1058,10 +1078,8 @@ def fit(self, acquisition_scheme, data, optimize_S0=False, voxel_x0_vector = x0_[pos] if solver == 'brute2fine': if global_brute.global_optimization_grid is True: - voxel_x0_vector = global_brute( - voxel_E / voxel_x0_vector[0]) + voxel_x0_vector = global_brute(voxel_E) fit_args = (voxel_E, voxel_x0_vector) - if use_parallel_processing: fitted_parameters_lin[idx] = pool.apipe(fit_func, *fit_args) else: @@ -1185,7 +1203,7 @@ def __call__(self, acquisition_scheme_or_vertices, ) if quantity == "signal": - values = ( + values = kwargs['S0'] * ( values + partial_volume * model( acquisition_scheme_or_vertices, **parameters) From d2a984b49b73858b403d3a54f27b1dcfd000a04a Mon Sep 17 00:00:00 2001 From: Lucas Fidon Date: Fri, 2 Nov 2018 02:25:00 +0100 Subject: [PATCH 08/37] adapted predict function for new S0 functionality --- dmipy/core/fitted_modeling_framework.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/dmipy/core/fitted_modeling_framework.py b/dmipy/core/fitted_modeling_framework.py index 5b24fad4..81e51910 100644 --- a/dmipy/core/fitted_modeling_framework.py +++ b/dmipy/core/fitted_modeling_framework.py @@ -179,9 +179,9 @@ def predict(self, acquisition_scheme=None, S0=None, mask=None): dataset_shape = self.fitted_parameters_vector.shape[:-1] if S0 is None: - S0 = self.S0 + S0_mult = np.ones_like(self.S0) elif isinstance(S0, float): - S0 = np.ones(dataset_shape) * S0 + S0_mult = 1. / self.S0 * S0 if mask is None: mask = self.mask @@ -193,7 +193,7 @@ def predict(self, acquisition_scheme=None, S0=None, mask=None): parameters = self.model.parameter_vector_to_parameters( self.fitted_parameters_vector[pos]) predicted_signal[pos] = self.model( - acquisition_scheme, **parameters) * S0[pos] + acquisition_scheme, **parameters) * S0_mult[pos] return predicted_signal def R2_coefficient_of_determination(self, data): From 8679c10909f18ae6eddeb51b59cf40d9faa3d8e4 Mon Sep 17 00:00:00 2001 From: Lucas Fidon Date: Fri, 2 Nov 2018 02:25:30 +0100 Subject: [PATCH 09/37] adapted optimizer --- dmipy/optimizers/brute2fine.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/dmipy/optimizers/brute2fine.py b/dmipy/optimizers/brute2fine.py index f966bc66..22c2f578 100644 --- a/dmipy/optimizers/brute2fine.py +++ b/dmipy/optimizers/brute2fine.py @@ -255,7 +255,7 @@ def objective_function(self, parameter_vector, data): self.model.parameter_vector_to_parameters(parameter_vector_) ) E_model = self.model(self.acquisition_scheme, **parameters) - E_diff = E_model - data / parameter_vector[0] # first is S0 + E_diff = E_model - data objective = np.dot(E_diff, E_diff) / len(data) return objective @@ -305,7 +305,6 @@ def __call__(self, data, x0_vector): finish=None) else: x0_brute = x0_vector - x_fine_nested = minimize(self.objective_function, x0_brute, args=fit_args, bounds=bounds_fine, method='L-BFGS-B').x From 6439793f698a87871b5a4f4b932ba8d46e9e7145 Mon Sep 17 00:00:00 2001 From: Lucas Fidon Date: Fri, 2 Nov 2018 13:45:31 +0100 Subject: [PATCH 10/37] added verbose to modeling frameworks --- dmipy/core/modeling_framework.py | 60 +++++++++++++++++++------------- 1 file changed, 36 insertions(+), 24 deletions(-) diff --git a/dmipy/core/modeling_framework.py b/dmipy/core/modeling_framework.py index 63f35b23..769b08b2 100644 --- a/dmipy/core/modeling_framework.py +++ b/dmipy/core/modeling_framework.py @@ -881,13 +881,17 @@ def _add_S0_parameter(self, data, mask=None, optimize_S0=False): 'intensity', parameter_flag) - - if optimize_S0: self.set_initial_guess_parameter('S0', S0) else: self.set_fixed_parameter('S0', S0) + def set_parameter_optimization_bounds(self, parameter_name, bounds): + parameter_scale = np.max(bounds) + ranges = np.array(bounds) / parameter_scale + self.parameter_ranges[parameter_name] = ranges + self.parameter_scales[parameter_name] = parameter_scale + class MultiCompartmentModel(MultiCompartmentModelProperties): r''' @@ -939,7 +943,7 @@ def _check_for_NMR_and_other_models(self): def fit(self, acquisition_scheme, data, optimize_S0=False, mask=None, solver='brute2fine', Ns=5, maxiter=300, N_sphere_samples=30, use_parallel_processing=have_pathos, - number_of_processors=None): + number_of_processors=None, verbose=True): """ The main data fitting function of a MultiCompartmentModel. This function can fit it to an N-dimensional dMRI data set, and returns @@ -1049,8 +1053,9 @@ def fit(self, acquisition_scheme, data, optimize_S0=False, if number_of_processors is None: number_of_processors = cpu_count() pool = pp.ProcessPool(number_of_processors) - print('Using parallel processing with {} workers.'.format( - number_of_processors)) + if verbose: + print('Using parallel processing with {} workers.'.format( + number_of_processors)) else: fitted_parameters_lin = np.empty( np.r_[N_voxels, N_parameters], dtype=float) @@ -1060,13 +1065,15 @@ def fit(self, acquisition_scheme, data, optimize_S0=False, global_brute = GlobalBruteOptimizer( self, self.scheme, x0_, Ns, N_sphere_samples) fit_func = Brute2FineOptimizer(self, self.scheme, Ns) - print('Setup brute2fine optimizer in {} seconds'.format( - time() - start)) + if verbose: + print('Setup brute2fine optimizer in {} seconds'.format( + time() - start)) elif solver == 'mix': self._check_for_tortuosity_constraint() fit_func = MixOptimizer(self, self.scheme, maxiter) - print('Setup MIX optimizer in {} seconds'.format( - time() - start)) + if verbose: + print('Setup MIX optimizer in {} seconds'.format( + time() - start)) else: msg = "Unknown solver name {}".format(solver) raise ValueError(msg) @@ -1089,10 +1096,11 @@ def fit(self, acquisition_scheme, data, optimize_S0=False, [p.get() for p in fitted_parameters_lin]) fitting_time = time() - start - print('Fitting of {} voxels complete in {} seconds.'.format( - len(fitted_parameters_lin), fitting_time)) - print('Average of {} seconds per voxel.'.format( - fitting_time / N_voxels)) + if verbose: + print('Fitting of {} voxels complete in {} seconds.'.format( + len(fitted_parameters_lin), fitting_time)) + print('Average of {} seconds per voxel.'.format( + fitting_time / N_voxels)) fitted_parameters = np.zeros_like(x0_, dtype=float) fitted_parameters[mask_pos] = ( @@ -1294,7 +1302,7 @@ def _delete_orientation_parameters(self): def fit(self, acquisition_scheme, data, mask=None, solver='brute2fine', Ns=5, maxiter=300, N_sphere_samples=30, use_parallel_processing=have_pathos, - number_of_processors=None): + number_of_processors=None, verbose=True): """ The main data fitting function of a MultiCompartmentModel. This function can fit it to an N-dimensional dMRI data set, and returns @@ -1417,8 +1425,9 @@ def fit(self, acquisition_scheme, data, if number_of_processors is None: number_of_processors = cpu_count() pool = pp.ProcessPool(number_of_processors) - print('Using parallel processing with {} workers.'.format( - number_of_processors)) + if verbose: + print('Using parallel processing with {} workers.'.format( + number_of_processors)) else: fitted_parameters_lin = np.empty( np.r_[N_voxels, N_parameters], dtype=float) @@ -1437,13 +1446,15 @@ def fit(self, acquisition_scheme, data, self, self.scheme, x0_, Ns, N_sphere_samples) fit_func = Brute2FineOptimizer(self, self.scheme, Ns) - print('Setup brute2fine optimizer in {} seconds'.format( - time() - start)) + if verbose: + print('Setup brute2fine optimizer in {} seconds'.format( + time() - start)) elif solver == 'mix': self._check_for_tortuosity_constraint() fit_func = MixOptimizer(self, self.scheme, maxiter) - print('Setup MIX optimizer in {} seconds'.format( - time() - start)) + if verbose: + print('Setup MIX optimizer in {} seconds'.format( + time() - start)) else: msg = "Unknown solver name {}".format(solver) raise ValueError(msg) @@ -1467,10 +1478,11 @@ def fit(self, acquisition_scheme, data, [p.get() for p in fitted_parameters_lin]) fitting_time = time() - start - print('Fitting of {} voxels complete in {} seconds.'.format( - len(fitted_parameters_lin), fitting_time)) - print('Average of {} seconds per voxel.'.format( - fitting_time / N_voxels)) + if verbose: + print('Fitting of {} voxels complete in {} seconds.'.format( + len(fitted_parameters_lin), fitting_time)) + print('Average of {} seconds per voxel.'.format( + fitting_time / N_voxels)) fitted_parameters = np.zeros_like(x0_, dtype=float) fitted_parameters[mask_pos] = ( From 097317868d9929cc8c9c02aa57d9dc59a4b3dc85 Mon Sep 17 00:00:00 2001 From: Lucas Fidon Date: Fri, 2 Nov 2018 17:36:12 +0100 Subject: [PATCH 11/37] update example --- examples/example_ivim.ipynb | 314 ++++++++++-------------------------- 1 file changed, 82 insertions(+), 232 deletions(-) diff --git a/examples/example_ivim.ipynb b/examples/example_ivim.ipynb index e5cb94f3..d0112b5f 100644 --- a/examples/example_ivim.ipynb +++ b/examples/example_ivim.ipynb @@ -11,16 +11,7 @@ "cell_type": "code", "execution_count": 1, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/rutger/anaconda2/lib/python2.7/site-packages/h5py/__init__.py:34: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n" - ] - } - ], + "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "from dipy.reconst.ivim import IvimModel\n", @@ -36,7 +27,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Dataset is already in place. If you want to fetch it again please first remove the folder /home/rutger/.dipy/ivim \n" + "Dataset is already in place. If you want to fetch it again please first remove the folder /home/lucas/.dipy/ivim \n" ] } ], @@ -47,9 +38,7 @@ { "cell_type": "code", "execution_count": 3, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "gtab.big_delta" @@ -79,76 +68,44 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/home/rutger/anaconda2/lib/python2.7/site-packages/dipy-0.13.0-py2.7-linux-x86_64.egg/dipy/reconst/ivim.py:404: UserWarning: x0 obtained from linear fitting is not feasibile as initial guess for leastsq while estimating f and D_star. Using parameters from the linear fit.\n", + "/home/lucas/anaconda2/lib/python2.7/site-packages/dipy-0.14.0-py2.7-linux-x86_64.egg/dipy/reconst/ivim.py:404: UserWarning: x0 obtained from linear fitting is not feasibile as initial guess for leastsq while estimating f and D_star. Using parameters from the linear fit.\n", " warnings.warn(warningMsg, UserWarning)\n", - "/home/rutger/anaconda2/lib/python2.7/site-packages/dipy-0.13.0-py2.7-linux-x86_64.egg/dipy/reconst/ivim.py:498: UserWarning: x0 is unfeasible for leastsq fitting. Returning x0 values from the linear fit.\n", + "/home/lucas/anaconda2/lib/python2.7/site-packages/dipy-0.14.0-py2.7-linux-x86_64.egg/dipy/reconst/ivim.py:498: UserWarning: x0 is unfeasible for leastsq fitting. Returning x0 values from the linear fit.\n", " warnings.warn(warningMsg, UserWarning)\n", - "/home/rutger/anaconda2/lib/python2.7/site-packages/dipy-0.13.0-py2.7-linux-x86_64.egg/dipy/reconst/ivim.py:293: UserWarning: Bounds are violated for leastsq fitting. Returning parameters from linear fit\n", + "/home/lucas/anaconda2/lib/python2.7/site-packages/dipy-0.14.0-py2.7-linux-x86_64.egg/dipy/reconst/ivim.py:293: UserWarning: Bounds are violated for leastsq fitting. Returning parameters from linear fit\n", " warnings.warn(warningMsg, UserWarning)\n" ] } ], "source": [ "ivimmodel = IvimModel(gtab)\n", - "ivimfit = ivimmodel.fit(data_slice)" + "ivim_fit_dipy = ivimmodel.fit(data_slice)" ] }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 6, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[ 0.3 , 0.3 , 0.3 , ..., 0.10228682,\n", - " 0.08836809, 0.3 ],\n", - " [ 0.3 , 0.3 , 0.3 , ..., 0.07622593,\n", - " 0.09480977, 0.08430158],\n", - " [ 0.3 , 0.3 , 0.3 , ..., 0.3 ,\n", - " 0.02210754, 0.07937667],\n", - " ...,\n", - " [ 0.09430396, 0.3 , 0.3 , ..., 0.3 ,\n", - " 0.02933414, 0.07644474],\n", - " [ 0.08382624, 0.3 , 0.3 , ..., 0.29999136,\n", - " 0.29999994, 0.04675601],\n", - " [ 0.3 , 0.3 , 0.3 , ..., 0.3 ,\n", - " 0.29999998, -0.00702222]])" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ivimfit.perfusion_fraction" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": true - }, "outputs": [], "source": [ "from dmipy.signal_models import gaussian_models\n", "from dmipy.core.modeling_framework import MultiCompartmentModel\n", - "from dmipy.core.acquisition_scheme import gtab_dipy2dmipy, acquisition_scheme_from_bvalues\n" + "from dmipy.core.acquisition_scheme import gtab_dipy2dmipy, acquisition_scheme_from_bvalues" ] }, { "cell_type": "code", - "execution_count": 11, - "metadata": {}, + "execution_count": 7, + "metadata": { + "scrolled": true + }, "outputs": [ { "name": "stdout", @@ -161,199 +118,93 @@ "number of DWI shells: 20\n", "\n", "shell_index |# of DWIs |bvalue [s/mm^2] |gradient strength [mT/m] |delta [ms] |Delta[ms] |TE[ms]\n", - "0 |1 |0 |0 |10.0 |30.0 |N/A \n", - "1 |1 |10 |7 |10.0 |30.0 |N/A \n", - "2 |1 |20 |10 |10.0 |30.0 |N/A \n", - "3 |1 |30 |12 |10.0 |30.0 |N/A \n", - "4 |1 |40 |14 |10.0 |30.0 |N/A \n", - "5 |1 |60 |17 |10.0 |30.0 |N/A \n", - "6 |1 |80 |20 |10.0 |30.0 |N/A \n", - "7 |1 |100 |22 |10.0 |30.0 |N/A \n", - "8 |1 |120 |25 |10.0 |30.0 |N/A \n", - "9 |1 |140 |27 |10.0 |30.0 |N/A \n", - "10 |1 |160 |28 |10.0 |30.0 |N/A \n", - "11 |1 |180 |30 |10.0 |30.0 |N/A \n", - "12 |1 |200 |32 |10.0 |30.0 |N/A \n", - "13 |1 |300 |39 |10.0 |30.0 |N/A \n", - "14 |1 |400 |45 |10.0 |30.0 |N/A \n", - "15 |1 |500 |51 |10.0 |30.0 |N/A \n", - "16 |1 |600 |56 |10.0 |30.0 |N/A \n", - "17 |1 |700 |60 |10.0 |30.0 |N/A \n", - "18 |1 |800 |64 |10.0 |30.0 |N/A \n", - "19 |1 |900 |68 |10.0 |30.0 |N/A \n", - "20 |1 |1000 |72 |10.0 |30.0 |N/A \n" + "0 |1 |0 |N/A |N/A |N/A |N/A \n", + "1 |1 |10 |N/A |N/A |N/A |N/A \n", + "2 |1 |20 |N/A |N/A |N/A |N/A \n", + "3 |1 |30 |N/A |N/A |N/A |N/A \n", + "4 |1 |40 |N/A |N/A |N/A |N/A \n", + "5 |1 |60 |N/A |N/A |N/A |N/A \n", + "6 |1 |80 |N/A |N/A |N/A |N/A \n", + "7 |1 |100 |N/A |N/A |N/A |N/A \n", + "8 |1 |120 |N/A |N/A |N/A |N/A \n", + "9 |1 |140 |N/A |N/A |N/A |N/A \n", + "10 |1 |160 |N/A |N/A |N/A |N/A \n", + "11 |1 |180 |N/A |N/A |N/A |N/A \n", + "12 |1 |200 |N/A |N/A |N/A |N/A \n", + "13 |1 |300 |N/A |N/A |N/A |N/A \n", + "14 |1 |400 |N/A |N/A |N/A |N/A \n", + "15 |1 |500 |N/A |N/A |N/A |N/A \n", + "16 |1 |600 |N/A |N/A |N/A |N/A \n", + "17 |1 |700 |N/A |N/A |N/A |N/A \n", + "18 |1 |800 |N/A |N/A |N/A |N/A \n", + "19 |1 |900 |N/A |N/A |N/A |N/A \n", + "20 |1 |1000 |N/A |N/A |N/A |N/A \n" ] - } - ], - "source": [ - "scheme_ivim = gtab_dipy2dmipy(gtab, dummy_deltas=True, b0_threshold=1e6, min_b_shell_distance=1e6)\n", - "scheme_ivim.print_acquisition_info" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "ball1 = gaussian_models.G1Ball()\n", - "ball2 = gaussian_models.G1Ball()\n", - "ivim_mod = MultiCompartmentModel([ball1, ball2])" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "ivim_mod.parameter_ranges['G1Ball_1_lambda_iso'] = (3, 20)" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "OrderedDict([('G1Ball_1_lambda_iso', (3, 20)),\n", - " ('G1Ball_2_lambda_iso', (0.1, 3)),\n", - " ('partial_volume_0', (0.01, 0.99)),\n", - " ('partial_volume_1', (0.01, 0.99))])" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ivim_mod.parameter_ranges" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ + }, { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "Using parallel processing with 8 workers.\n", - "Setup MIX optimizer in 8.01086425781e-05 seconds\n", - "COBYLA failed to find a solution: Maximum number of function evaluations has been exceeded.\n", - "COBYLA failed to find a solution: Maximum number of function evaluations has been exceeded.\n", - "Fitting of 5200 voxels complete in 345.635720015 seconds.\n", - "Average of 0.0664684076951 seconds per voxel.\n" + "/home/lucas/anaconda2/lib/python2.7/site-packages/dmipy-0.1.dev0-py2.7.egg/dmipy/core/acquisition_scheme.py:852: UserWarning: pulse_separation (big_delta) or pulse_duration (small_delta) are not defined in the Dipy gtab. This means the resulting DmipyAcquisitionScheme cannot be used with CompartmentModels that need these.\n" ] } ], "source": [ - "ivim_fit = ivim_mod.fit(scheme_ivim, data_slice, mask=data_slice[..., 0] > 0, solver='mix', Ns=20)" + "scheme_ivim = gtab_dipy2dmipy(gtab, b0_threshold=1e6, min_b_shell_distance=1e6)\n", + "scheme_ivim.print_acquisition_info" ] }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 8, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['partial_volume_1',\n", - " 'partial_volume_0',\n", - " 'G1Ball_1_lambda_iso',\n", - " 'G1Ball_2_lambda_iso']" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ivim_fit.fitted_parameters.keys()" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "collapsed": true - }, "outputs": [], "source": [ - "import matplotlib.pyplot as plt\n", - "%matplotlib inline" + "from dmipy.custom_optimizers import intra_voxel_incoherent_motion" ] }, { "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "-0.0008422857361330238" - ] - }, - "execution_count": 40, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ivimfit.D_star.min()" - ] - }, - { - "cell_type": "code", - "execution_count": 43, + "execution_count": 17, "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "0.9999999999999999" - ] - }, - "execution_count": 43, - "metadata": {}, - "output_type": "execute_result" + "name": "stdout", + "output_type": "stream", + "text": [ + "Starting step 1 of IVIM fitting algorithm.\n", + "Cannot estimate signal grid with voxel-dependent x0_vector.\n", + "Starting step 2 of IVIM fitting algorithm.\n", + "Cannot estimate signal grid with voxel-dependent x0_vector.\n", + "IVIM optimization of 5200 voxels complete in 129.643 seconds\n" + ] } ], "source": [ - "ivimfit.D_star.max()" + "ivim_fit_dmipy = intra_voxel_incoherent_motion.intra_voxel_incoherent_motion(\n", + " scheme_ivim, data_slice, Ns=10)" ] }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 74, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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E34U3Wb/PBrpkUuOPfLP9LsBPZxziFPsd84mcCZ7TxLpBZn5IlLtBYjBozCbnz5zuudOw\nmRXsPwC8xxY9hYic28lD8EE7jZL2u2uyu+aY5xRE9EoYLSLQgaDOA8QGIjoitIKIBuDdmW4O1YHX\nHL6SiNbCa17b0uIKfgTzH88BeK39777Wrmvar5+Zy8x8PczAcwLGanFK463ah4gOgw+4/WmbLzbH\n23Mfav9I+EFw1jV5o31BcP65070mitIUOshVZhxm3grgKvvzLHi3hVusWflA8HEAn7Kfz3eqUTtY\ndrMtHQPgEjKzoEUhomMgHo7M/DuYlEMA8MFQQBQRvQh+IHj5dPs9DV5FREfXFtqo9jfZn1+rWb3X\nfse0Vh+CmXL2gJChHQdMBLmjAiR+nu443mQHTbXtroM/5tm8Jg0hoj+FydsKmPRfddk15hAfipS/\nE8a9pAzjJ1sHM/8cxg2lG+barUL7AWey3Sq8f+npAJ4Lo8GsxNrOuOcm4F1v2nbBaQQRHQpjreqz\n+3h/4y2i9MCc+xAftN+DiAeQfQPGcrYO5lwVoQFnygyig1xltnAa2+Ph08lcFKk7bZj5RmZ+l/3c\n2+G2L4eZTAAwgVW3EdHpROS00yCibiI6mYgugplR6tiaZpw28VkAvuki9YmoaKfPdIOoX6LzPsut\nMA7gB0R0ipuKk4j+CCa6fBVMUFJtGrMf2O+/JqJz3EsAmely/xXmJaGdoJhmeQ0R/YKI3kREj3OF\nZKaFfYHo76+YeUhs93GYVFArAPyQiJ4htn0mzDEvg3nI16Vum02IaAURvdAG/F0PYClMtPuLa45x\nLrEXJgvKZ10qMCIaIKL3ww9+P8/MjYKhXEqqZ9vvdgPOanEvpU8C8Am7fC0zb4/U30xEnyCiE+WA\n12o/L4MJfq0inZptWlgZ88dEdD7M5CzH2X28hZnbzUyyF8CHiOh9TqNLZkrnz8JPv/5RZh4PbWxd\nzy62P9010YAzZcYozHYHlEXL92Gi6tfAvGyNY5oal9mEmd9DRA/AzCqVaGqJaBQmF6pMqTQKrxly\n2/8PEb0DRtP8cgAvJ6IhmIeh0wzfDuBVoTy6M8g7APwTjCZmlIiqMJM5AEZDdRozP1yzzadg/KEf\nDzMIuYCI9sEMvMiWdcM/NDsNAXiG/YCIJmA0fMvhX/Qfgw9KBGDy4BLRy2FcUp4I4BdE5NKvuSwQ\nQwBenjHwOtC8i4jebJcJZmIP6TbDMJaTtwSuzVziNzDp1t4N4G32/l8K478KmJeK92a0cSnMC4e7\nPh0xizPznUR0K4CnwqfLauSqsAamr+8FUCWivTBaUXddGMA7Qzmnm+QZRCR9Wvvg/4eOO2Cu+c/a\n3AdgXqi7YV74Pmr/t8vgA0QvBfBvGW18AUZuEDTgTJlhVJOrzAo2JZEM9LlyDmuYmoKZL4SZ6erv\nYQYVj8AI9h6YVDtXA3g7gMOY+fzA9v8K8wD9L7ttL4wp/UaYh8QJHUp7Nh0eBPAUGJePnTAD8B0w\nmuanMPP3azew1/UZMGbyTTDm0zJMIMxpzPzm2m06zPdg/DP/E0aLvhdm8DQMkxf2QwCeyMx3B/r+\nE5jB+adgUtHlYK7pXTBJ8p8wzUFEJ+iDGVStgRm4j8BkMPk2zPTNf8DML57jA1wA5mURJlDxFzDn\nehJm8Pt2AKfGNIZi+30ArrU/pxtwVosc1O6DefmJ8XwYje/PYP7LPbb8fpj78I+YeTpuI0X4a74K\n5j+1GeZF4J9hZg48tkP35mkA3gLjU1+Aub9+BeANzHxGIIg0hc19/Bv7UwPOlBnFzT2vKIoSxU7Y\nAADPYeYbZrMvysKCiD4M4FwAP2Hmk6bZVgnmhXIlgDfZF0+lRYjoYhjLyiXMfOY021oLM9AvAHgB\nM1+bsYmidAzV5CqKoigLhdNgBrj7MI/dnxYYb4YZ4N4PDThTZhgd5CqKoijzHpt+7KP25xc6FHCm\nTAMiOh4+O8OnNeBMmWk08ExRFEWZtxDRz2Gmil4Lo7jZAp8BQZkFiGgTgBL8JC+3waexU5QZQzW5\niqIoynxmPUwe1j0wwXbPme9BrAuAw2AGuNtgUoi9kJmnZrVHyqJEA88URVEURVGUBYdqchVFURRF\nUZQFhw5yFUVRFEVRlAWHDnIVRVEURVGUBYcOchVFURRFUZQFhw5yFUVRFEVRlAWHDnIVRVEURVGU\nBYcOchVFURRFUZQFhw5yFUVRFEVRlAWHDnIVRVEURVGUBYcOcpVZhYg2EdENs90PRVGUxQ4RnUlE\nTEQnzXZfFKUT6CBXARGdZAWb+1SIaA8R/Z6ILiGiU4mIZrufiqIoSnOoXFcUgJh5tvugzDL2rf3H\nAC4HcBUAAjAA4GgALwdwKIAfAngVMw91eN8lAMzMk51sV1EUZTHTjlwnojyAIoBJZq7OQrcVpaMU\nZrsDypziVmb+L1lARO8A8M8A3gEjLF/YyR0y80Qn21MURVFSNC3XmbkCoDLjPVSUA4S6KygNYeYK\nM78TwM8BnEpEfwIARPRhawI7hog+Q0RbiWiEiK4noqNtnT8noluJaMz63p5T237IJ9eVEdFTiehH\nRLSfiAatie0gUe/PbR/+KtR3IrqDiO5Xk5yiKIqngVyv88kVZadYub+ZiCaI6HdE9BrZLhH9loge\nJqK6sQURvdq2c/oBPjxFSdBBrtIsX7bfL64pvwTAkwF8HMCnAJwI4BoryD4P4DsA/hHAHgD/4YRp\nE6wHcD2ABwG8G8CVAE4H8GMi6rV1vgdgG4CzazcmohMBHAPgIlafHEVRlBAxuR7ikwBeA+ACAP8H\nQBeAy4noTFHniwA2AHheYPs3AtgL4JvtdlZRWkXdFZRm+Z39/oOa8m0AXuoGkkS0C8BnAfw7gCcy\n88O2/GsAHgHwVhjtQRZHAPgHZv6MKyCiOwB8GsDfATiPmctE9J8A3kdExzDznWL7s2HMbhe3dJSK\noiiLh5hcD7EKwHHMvBcAiOgLdvtPE9HXmHkMwFdgBsNnA7jGbUhEbuD7H7aeoswIqslVmmWf/V5S\nU/5vNZrSn9nv77oBLgAw804A9wA4qoX9XVBT9u+2/BWi7IsAGEKbS0R9AP4SwNXM/FiT+1MURVls\nxOR6iAvcABcA7PIXACwHcJIo+waAlxHRKrHtWTDjjS9DUWYQHeQqzeKE4L6a8gdrfu+x3w8F2tgD\nYGWT+3uwNijN/n4QwONE2UMwEcKnE1HRFr8aJor4S03uS1EUZTESk+sh7gqUOevZ40TZhTCuDK8H\nABsTcRaA3zDzLW32U1HaQge5SrMcZ7/vqSmPReLGypsNAov50Ya2vxDAagAvtb/PhnGj+H6T+1IU\nRVmMxOR6iJBMrpPHzPxLAL+Ht66dDGAjVOmgzAI6yFWaxQmsmRo4HkFEXbLA5tQ9HPXa4+8C2AHg\nbJvZ4ZkALmHm8oz0VFEUZX7Silw/JlD2BPtdK5O/COBYIjrB7mMcwGVt9VBRpoEOcpWGEFGeiP4F\nwJ8AuIqZfzFDu14C4G9qyv7Gln9HFjLzFEyA2QsAnGuL1fdLURQlQJty/S1EtFS0sRTAmwEMAfhJ\nTd2vwAxs/xEmhuJbnZ5ISFGaQbMrKJKnEtHr7bKcGecwANcCeO0M9uUBAOcS0bEAbgHwNJgUNHcD\n+LdA/S/CCNTTAPyEme+bqY4qiqLMYTol13cB+DURXQTjpnAWzKxpf8XMo7IiM+8hom/C+uVCXRWU\nWUIHuYrkNPupAtgPYAvMG/rlzPyDGe7LFpgAsn+xfZqEMXe9i5lHaisz8/1E9GMAz4VqcRVFURyd\nkuvvAfAsAG8DsAbAfQBex8xfjdS/EGaQez/qNb2KMiOQ5slX5hpEtAnAJmY+qcXtrgLwxwDWaS5G\nRVGU6WMne/hPAM9h5hta2O4EAL8G8H5m/sSB6Z2iNEZ9cpUFAREdCeOT+xUd4CqKosw6bwMwBTNA\nVpRZQd0VlHkNET0dJsL372BcGj49uz1SFEVZnNiJeP4MwBNhXBUuZOZts9srZTGjg1xlvvMWAG+A\nSWHzOmbeNLvdURRFWbSsBnA5jO/vNwG8e3a7oyx25pRPLhGdCuCzAPIAvsTM581ylxRFUZQGqNxW\nFGWuMmcGuUSUB3AvgOfBRH/eBOA0Zr4ztk2hu49L/StsA7ZQHA5VRWVxnGQXOTL3FmWckpa2k2WB\n7WRbWftttT/ttJvVn/S+snYc2kH9dahvN9BU5Bj8drLjkUa4bmEa59zvhAOe7al2A/sFRTppz0/0\n3MS2C+yiJRo0OzEyiKmJkWZnqlMWEa3K7UJ3H5f6Gsjs1P+mhf9pU3NxNbldJ+nEv8b18QD9Azv5\n/Eg3HGswtN/GQrulPkSeuUE5KsuyZHaK+g2zn1GNt48Rf07Gn3kqsz1zyV3hBAD3M/ODAEBEVwB4\nGfzc2HWU+lfgCX/2DwAAzpsyEpPJFsb93VGY8CNeVyc0OKltg6yg5ZwY1ORF5cCgmqqiUA605R/O\ntifbSg/KQx0L9zc5jsj/JnU8rm+BvqTaqu2PWy/6Kwd6wQG8PL92t7mKeHBVInVDD7/IJMGuP9Hr\nI5sNXJ9Yu76xcHG1y++v3G2vpTiG3JRfzk86Iegbq+bDF9Odn9S5EceT2i7rxS6L1D0gl+3x2PW/\nv+YzLTSqLDJaktulvhV44ov/HoC/z3JlfwO7/woA5KbEcjnwRwwOSgSxsOrAdrHBdQpK/y+agsLL\nUl6F+pV6hoQGuanBm/+RPK8yZHNqtyHZK4tCz4+6NtzIVW4XOY92f9WCfO6EO+n210wffGOyAb9Y\nLfoflS73/BXnriLvt8C+Ms559BkVOL+h7ev67tYLmR6S04A/NncMv7v+s+HOLELmUnaFQwA8In5v\nsWUpiOgcIrqZiG4uj9elS1UURVFmjky5nZLZEyqzFUWZOeaSJjdo3K4rYL4QJsk0+lZtYPcGTvbN\nS77x5yJvkiHNZ/rN12/H7rVdvhGGtGmQmkJRVpbN1vcnU5Moib0Yh7QcMQJvkrE3+ZBGtBUNQVDD\nGFOSBLTYQW1G3X4D6sxmXBfcVlJzHdIWxM75pF8uhDQtKRNsQLvSChFNrddii7qB+xHwb/hZGnG5\nXI1oxBVFkCm3UzJ75QZOrDpWbuWkjKyGl4P/nYClKNazqHXHWfUi/7GQyxuJhjO1uhFtc+hZEN0u\n2Uisjsjh0HmKWSyz9hu0TMbEbMVdywxNL/y5TsuisMY0WCaXU9cqpAb1laVlINm3fNZnnKeo9jVY\nWfZLFLv7MKYVDlg65b7SljrR93zOfquHQi1zSZO7BcAG8Xs9gMdmqS+KoihKNiq3FUWZs8wlTe5N\nAI4iosMBPArgNciaU5v9m6N760n5fKZ8WQJvuBGfRPmalbzNcqSu1IjaSjnRMFH4LTjkGxuiGc0p\n2xXRN27px+P8yqTmLhfTCjTumyQ5TLHfXKA/LfmMpnYgmgr536Y0mBlv2RnazlgbWX5jMZLtIucz\nHVhgK+Wy396TBjN86mR5SgOROnaxh0Qq1PvZKUoNLcltApBzsjrR5IblVkz7mqyPycbEz1Zq6cLa\nV7L/nZSfvvCnbyVguSVCvsBydUBzGdXeNvP/b9SHmEwOyPSoLHDnJiIjg76kKU1wpN0MO0E6xsNZ\nzETVQobMTt03jeM6Mp8rMQKxJS3dQ1FrgF8ujJqLWO6ZS3rLucGcGeQyc5mI3gbgGphUNBcx8x2z\n3C1FURQlgsptRVHmMnNmkAsAzHwVgKtmux+KoihKc6jcVhRlrjKnBrmtQlzvphBLS5XpfE9hc1Zi\nzqjWm61M5YBJPuUoLpYDTvkxVwG/r4jJLWjKCzvGh1KERV0UQucpGvRVXyXXSnouuX1ov5HgOOlc\n74Kj5DWJmT9DZanrE7jGMshQmr6yTKlZpNwkQkEMsaCZQN/TrjTh+zgUkCADMZoySSrKdOF6N4Vm\n0uVl5i4PyY+q/AP4RUotBwIyYy5MoT4E/m/xHNf1m0cPK+Se1QEXhVSQU2jvWf/9yPH4FGLiuUNh\neZnIoqgcDuw3FhhYCciwfOS5kQs/H0O4fWSl1GyG1LM45FoYO6f5+sJUWyHPNffsmyPzH8wF1IFD\nURRFURRFWXDoIFdRFEVRFEVZcMxrdwVAmLyy8gpKU4U1FeSkmUw2kA+YfKV1P2KOcmYYObMKdYnt\nAqb82OwtsPvaAAAgAElEQVRbwZy6sqwScDcQRanZZDKmoI1liwiawyPbZaaLDE19G4nuT6KJIxkg\nqgHTV+p0xUxbWabJwHXliOkra5ax9Llxvg+Nt0ltH3OHCEQkx/oVuigp94vAtZbbhe59RZkWzEE3\nhWR1zI3Kfsto+lS2gcB9L+VEWtbLZftDPgm75P/C/7mce080i02g/ZjsDMnsrAwy0TzbocwyMTmQ\nOmXWdJ7hoxB6dtbuw7URc6mrBuQoBU8Igictda/EZghLrrvcV8RFIZA5IpUJyXmItOmikHrmhvLr\nVsLnKXQPyHMeuwfq3RBVaDtUk6soiqIoiqIsOHSQqyiKoiiKoiw45re7AnN06l6zOmxmSSZ4kJGz\nYjsZlItAcmvpCjDV65cnB8xypUfUjZid8zbheHHY96Frn18ujjpXgVi2cNHFskuC3UwibrsQyyYh\nmLbBI2DSj5r8K/WmolimAATMlBQzzwX6I/eVun+kKa5Q//5HsSkk3WIksXhyDVsIeJX7qkYSmodM\neSnTVgvJ9ENm4tAEH4oyHWRGnKzMJ8EpZuUUwOJPn3LPCpjDYzLbLU8NiN1GVD85K7OlnC7tlTLb\nCbngIWRmEEi7Z8ll65LVhEBOjNWpiZDkTkTdgFyKRv2Htk/VpboKsSlmW5EroWe1zJ4jn4/VwLM6\nes4Dz1XZ38xMSHIf7jRKESom8wk9l0OZfGrr5rj+JsmaHMqfDxXaDtXkKoqiKIqiKAuOea3JJU6/\n2deS48hbpdOARd52s974pvp8WyMH++Wx9aYz+aWTSVlXl+9gPu8bnpoyr+37B73at+cRfzn6t5j9\ndo34bVJvklz/xp3Ke1oWb4Tira5qK7OcNhaRdkPO+ZHlum0Qc/QXb8sRjWqSbzLf+K1V9iErGMTs\nz9UVhRlTNcamcoxqSpJ+ZfQndk6rTivvy6JvollTToe0yXJz8e9P31u126hWQOkcyf8+YAHJCXku\nNZvJfzeQc7S23AdkCiub0N6OrBMy+xBTmaTMLoVl9mQis7uTst6H/Z9o4BG7/bDfRmqQSfwfkyA2\nqTEUMkVqK5PijJzqMWKWHt+viKwK/O1D0+gCIjguEtia2p87oKxnhehvLmPK9VT7sWMI5iNvfCKb\nacudh5QhT1oCKaPvKe1sWMObkI/c/zVBnFl5pRcTqslVFEVRFEVRFhw6yFUURVEURVEWHPPaXQEQ\nZo5gPrtI7r2MqpL8pNkuFrgwvs7bCQ47YgcA4KilO5Oynrw3g5WELS5n+7N5dEVSdvOSQ5PlEe41\n9Tb7fRXGw4EW5ZJZzotjzE/6E0K+C6B8/fbxZI5udb0pMFY3iyxTU4x0bkvRXlZzWWa92DS49XEU\n8fzILjBE/ptSQXUZfQgE3aWI5PKlciAwoSucvNiZDmPTI4fOqTeHac5FpUOwNFc7vxhKV0gWM4I3\no0GsdqHgC8siGHhMyOyVh+0BAGxYsicp6857Od1X8MJzWXEUAPDI2PKk7NZlG5LlYeoDACx9wO+r\nKNzNKt1CZttlF4AMALkJIWeFu0LOxbOl8oMjSBKoJeVsRi7w1PadNHNniI2sqXUBBJ8xmcFXqWMX\nyzLXesHJw7DLSyLTUw3LfdTfs6lzJwPLZBOVene01LUMPI9iuYdTXQu48ygG1eQqiqIoiqIoCw4d\n5CqKoiiKoigLjnnvruDwufekecIvpnLmZpiPUznsrNlIvg1US2IXy7w569jlW81335akbJyLyfKU\nsDUM5MYBAIeXpGuDt139pHyUaX/KR/Iu2eztToVxYQaz01DKaHlpTslN1keCpix9kVedUF7A0Lkx\nP6x5R5rUQtMZxlK+RnIQOlLTckZyDIYbDu0rst8MV4GUeU+2UQi0Jfcb6GTK5CangXZTKcemk5Su\nDc7dQLQlp5ROu6S4/Yo+SDNYILtIEtGs3grKASAks2NTTSd5tmNZVmRmginzoyr+pJWS2HDAy9mj\nV1gXs74dSdnSwmiyPFH18rs/b2T2xu5dSdmKLl/3Wn48AGB4sjcpW/aAP4bift/Jco/pm5yClmQ2\niZCMayK3apb5ngLyI5aPPJT/NZQ3vq5OYF9pk319YewZFGw/lRO5PjNQ7JmQlnf1LmbBMULErSCV\nsSKXq2s/dexBlwuxLI6nItzNkv3FsucIcjWZg5rJqbxYUE2uoiiKoiiKsuDQQa6iKIqiKIqy4JjX\n7gpM3iSbt5HmKTNOJMI9Md+kTMph023I9CVNAYWij8Rd3TUMAFiW9yasx6Z8JO4uMXfkVN6c+nVd\nPqr36Use9OuPNLaKX1aPEJ30fhJLNvnOu6wLzm0BqImcl2aWQPRldGIDZ+KOTBaRSgbuolUzkmtL\n0i4K9abJ1GQRscThru8RM7yEAub36Hly5h+ETanSLSAY8ZpKWNFKZgPzIzYhiXRDSc6TnNpSmL6i\n0wG7ZmV/UvZEt1u1eSkdhvz/JTi9euR/nLjxiKaqqftXuGe5ac5zqT9hQr7o/1yrSvsBAMf2eBcz\nKbMHy33J8rh1XVjfNZiUnTAgZPYR5sCuLx8t+u3dzVKuCyNGwDi3BaDG1Stlz7ZfMZeukNlfmt4D\nshVAouJqJR4/JCcA8dwVz9lcyt2k/rmRlr2NZXZqiubIdsmxSZcMMSlDaurnDBczdx5jMjuIkMM5\nMRlTeqKL+jZi2ROSqk0826ouw4P7H7TwHF7ozIoml4guIqIdRPR7UbaCiK4jovvs9/JGbSiKoigz\ng8psRVHmI7Olyb0YwOcAXCrK3gvgemY+j4jea3+/p2ErRIn20r050VT47T00baB8u0w5ncu8gnZZ\n5p218QcAgHK5Xo03kB9LlovlJcnyWMUHMZStGqI3P5GUrSt6re7zV5hnybIn+rau7fYagj3d/cly\n/8PmOIpj8njE8QoNbzDoLvbSFzhP0YCorLZCUzlm5OcNTe9Y24ckV6zMgZjSXMv2QhoEsTqoWQ5r\nb1Nac/fyHAt4cJpRsa9qTHNRG/RV04eU1jfJiRkOPAkFkaQ1xGJ9oN1katFppF58wXP6ePdgONLz\nlt9NXMPMp7bfujKDXIwOyGwmQqVkZB9VrPUtFqQTuu9SOVCFXJPTlNs6KZktctBWyl63k7eCaSDn\n5WyOlibLI2VvPRuxlrQB8QA4rMsHoT1vuZHZPcf4YOSrCk9Mlst9PiDNyWw5bXt0OnIXTBRRSYWe\nVxSxuIUbiJQ77XmsX0GZHb6WqWuc9DcsgLK0vqmg39TjN6AlzUdkdlagmwtMi+5LVrbdKst9yW7V\na4tTuXwpJt/rz3/KeipPiRWxyXTRbeajd8Tk9nyU2bMyyGXmnxLRxprilwE4yS5fAuAGZA1yFUWZ\n0+waLOOXPzgkuK573UOrZrg7SpuozFaUxUNMbs9HmT2XfHLXMPNWAGDmrUR0UKgSEZ0D4BwA6Opd\nNoPdUxSlVRhAGVlTvinzlNZldo/KbEWZ6ywkuT2XBrlNwcwXArgQAPpWbeByt7EnJHlUq2F7eir/\nYmK7DTuHh/IO5oTpq3vIL+/d7c1ZW8aNS9rT+3xbG7p2J8u7yt7FYK+dZ3Jv2ZuwVheGk+WN1gy2\ncaU3hx3W45e/MfDUZHlw6UoAQP/D3rZSGqoPTAN8AFdoCkMgbA7PlaWpKWwGSRz1M6eblBuJxZCZ\nPRLkkDIhddXnKEx3rH4n0oSVchtIeSvYut7DBJVUDlpZ1brKRO6hpL8ZbiGyjVg+29B5aMo05c6/\nKEq5RIhFd73d93SmimQwpjjLx0VZyKRk9soN7Ka0pYoLsswOkklcgkRZytspcIvlJvxDurRXyLBB\nb0t+dNwMuqtLvVBZmd+fLMtp2cesDVoGo60o+Lobi0Y+//nyW5KytcfuS5a/1utl9pAd7Pdu8wJT\nyuzSPpkY3PZbejZI1ycRUJWYuH08dLYbVSxQNzRFcAQvs8PPklS5+w4EOZvt5LO6vo/VWJ5c1D/X\npYtCKlg4dMgB2RoLpKaQW0bsGRVwG8vKCy8blPnoU64LUmZbNwUXKD8dFzOz+cKR23NpkLudiA62\nGoGDAezI3EJRlDkNA5jCwhCWSh0qsxVlAbKQ5PZcypP7PQBn2OUzAHx3FvuiKEoHYABTzMGPMu9R\nma0oC5CY3J6PzIoml4guhwlYWEVEWwCcC+A8AF8norMBPAzgVVntMPkoxsqkzbIwGYnSDF2gVAQq\nBcsTM1nFv9X07PK2oP5N3vR14/rDAABP7H80KTum5JflFL6bUe+/PVzxORWnCsYetS7vXRhe1J9k\n78HqI3z55d0nAADu6/GO4n2bvD2rx+8WXfvtsVWkycevT5m+3BTA5YBJCDVZClw0apYLSMregvAy\n13zXkHI3cPl5Y5HHXG+iSpvJwtcd+fQ2jfbh1zc2h0UzG4TuzZirRsBzIX0dInXdvkX2kZyf3RT5\nsiy3Jk/nzjAN2cbMmGxTOBLRRQBeAmAHMx9bs+5dAM4HsJqZd5FJEPlZAC8CMArgTGa+1dY9A8AH\n7aYfY+ZLbPnTYLIG9AC4CsDbmeepJD/AdEpmg7wJOW9lNU+EZXZwc/m/mfJ/qJQJ2/6npTtOz24h\nszd7mf3bQ4zM/HW/z0d+fJ/PfXtoyefE3Trpsy44hire3Wxf3sjvjUW/zcuW/CZZXnW0kNl9fwQA\n2HzX2qRs4CEvs3MiA0Rx1GahEC4IqZzdgencpYtZLLdtIq/C4j3iNhZxbUtktnimyqwwAfeKZkz2\n3n0r4lYmSJ5BqYw5WTsQdYMyO3w/hrKAZOUdF1XD16Gm3GdS8IXyusr7O8kn3AGZDUxPbs81Ziu7\nwmmRVSfPaEcURTmgMAhTUWfkTC5GfdoqENEGAM+DGVg5XgjgKPt5OoALADydiFbADMiOhxH9txDR\n95h5j61zDoAbYQa5pwK4ut3OLmRUZivK4mGacntOMZfcFRRFWWAYsxcFP5nbMv8UwGBg1b8CeDfS\n+oqXAbiUDTcCWGb9RF8A4DpmHrQD2+sAnGrXLWHmX1nt7aUAXj6dY1UURVkIxOT2fGQuBZ61R61J\nJWJ6SZuHzbdU/adcFAJDf2lSKO7zEbdLhYlpx3Jjzrqy9yl+w/V+cYMwYx1WMpG4I1WfnUGyrWyi\nbyuiMweJqF/pBvGStbcDAL4j6j6Y92YwzovLvM3U6RqOZKGQJhd7zFVhJstNRW70UHHIJB9ov3a/\nSaSoTHwdmfrQ7ZdCZjbUTHMbyPyQMn+KKO9qRkaE9PSYAZNaoG4uksg7eB5i97HAHU/aFCh3LLpY\ndn2hujLTyIExTRlhGX2XXkVEN4vfF9pI/ChE9FIAjzLzbyl9vg8B8Ij4vcWWNSrfEihXDiQkItcT\nFyexWrqYye2qNeZY1ES4hzI0iKLikJ90Z+lD/n7cudRMtf79Xj9pw8BhfrIHOUFPzv6RR6sy079n\nsGKy53SJGXdWC3ez40r+NpxYZ9K2fIeenJQ9WPQyu1rwf+S+reZbyuyUixPVTw0s5V5UZgf+lqGs\nAWnZG5Fx5frrE5P1XmZHstFIeZZzN0s4w0BKNiYZEWTHQr4Cvg9BlwvAZ6OJPFfSU8PXH0OMUPah\nmMx293TqWsusGXISkA6L7wy5HWUuupjN/0GuoihzlioIk4hNFYRdzHx8s20RUS+ADwB4fmh1oIzb\nKFcURVnUZMjtRlyMOeZiNq8HuQTU51+N5JFLB5nZt06pNSiH30CreZuHtSjelmVAw3avIVhxpwk8\neKzk38ivhNfqvnidDxw7utu8nq8Q2tnhak+y7AIaBkVu3cfEdMHL8qPJstM2POege5OygnjNu7fg\n+wMYLYQMJiuOCmd2Gdzg8rCmcs02TrqY1q6EqkU0sqEmI7kR5XJw6mGxupJ6GQ2MayJv6lm5bUOa\n2JZefAOaACCibZbnMaWltt8yF6QMQhGpNkPTPYan2kRHh3rtagQiHAHgcABOi7sewK1EdAKMJnaD\nqLsewGO2/KSa8hts+fpAfeVAwkJmOzkckdkcmMo7JYsi96/TNnLe33fJ9N8Aund6S9yye0yd3SUf\nCPx18vlsX7Ley+wjS9sBAKsLvq3hSk/dsix7NLc8WZbTva8umPy5UmYXc/4Pe0/XwclytWBk9oCw\nR3Tt933IyansnZY0lv2pGhB4Ec1oVr5ySVK3IJ6TqSlxA4GBst/5SEBzwFIXDUhOAovDgVxpK2W6\nL7XNOitvTHtbDUwNHwz0raFq865XShENs6Aw5rTj4XanO3VvI9qV25GZEQHvYiYzsCQuZgBuJCLn\nYnYSrIsZABCRczG7AdbFzJY7F7OGg1z1yVUU5YDBIExxIfhpuS3m25n5IGbeyMwbYQaqT2XmbTDp\nrN5AhhMB7LWzcV0D4PlEtJyIlsNoga+x64aJ6ERrNnsDNAWWoihKVG63g3Qxq1k1Iy5m81qTqyjK\n3IaZMJmlso8QSlvFzF+OVL8Kxrfrfhj/rrPM/nmQiD4K4CZb7yNOQwDgLfD+XVdDMysoiqI0ktst\nxVHMBRez+T3IZRFQE3BByAqmSeV0zYm60iRgy1PTv3aLfIbj3pbQ95gxg1W6fDDZY7k1yfJ/C3vG\n1DrTxhO6vYW0m0TiUoucCljmaSwJv4KlBeO6cFDRTyH53IPu8XULvu7tFWPRzU/4+WpzW8OmL2cm\nSZdJt45Afsto/t1cXVnKTFmpN1dVun1bcnrGVBuuj5FptqXpKuScH3XYd0EXkTyKoZy4UeuObauK\nbDNaYlsJBEkAaXeEcq87T/X7AoCi94RJpnYujgnXFHldUzml7Xcn8uQCmGrPt6tR2iq3fqNYZgBv\njdS7CMBFgfKbARxbv4VywOBAYGkzQY9JoJD4PyN8/ya7ki5OOf/Hkfl1+7YamV0tepm9m1Yny9+t\nHpcsv2D9XQCAY3u8Mqkv593VRm0QsZTZ41XvrlAUdmcns5cXRpKyZ6+6P1nuyvu6t1uvGhIBb/1C\nn5VyN5s0y3kxDb2ckj4lD12xEIKhAN+0DJUufhB1bZCykE+VLuG6IINg7XWPysMOBvE3I7/D6223\nuL6sdtm5mFFMZgvx555p5R5RVYw3ivt9I4UJdy19mbyuKTcG644TdVNpkQZyu6U4CswBFzN1V1AU\n5YDRSXcFRVEU5cDTKXeFueBipk8aRVEOGAzCeLWYXVFRFEWZE7Qrt+eii9m8HuRSFchblb6Lhmwq\nd5yLhpdT1LI049SbwUhG+stMC8J8lp8w9oOBR3z0rstmAADbp7zrwpWT5gZ6ziF+Wsije7cly860\nJU1ce8QUklvGlyXLZWsPWdblo3fXdHnXhaMHtifLOzYYU9rOUTGtcNUfT/ceYS4Zq9YdYyxPYijL\nQVVE2jp3A+nmIzM5SJOCqyNdFCrFiLuCvYMrHDapBbNtBHIrmr6Hl32h/FFv3pfmt/TUwfXbR6eA\nbLR/pDMpTFmraKVbXLNRcT8KM5czaebHsu1ZyT3fgeDdKtr3yVUWHsT+vkwyfkQi54MOeNJ0LmVR\nuV5mM6T88H+4nJBnuUkns73bAeBdF4YqK5Pl70wa14X9h/n1j+/ZKto1/62cOIiRsq87OOnld9kK\ngKVFn5N3TcnL7KP6d/g+rDe27UcmvBsFCa1azw6/P5d1QU5TT7HctomsFnJLjGu8zBbnS3jU5bj+\nYkkXhYocI6VcrlwmHrE+U9bIYwhn1fDLEb8BWZpMFywKA1kZ0u4OkWdQ4Lki10u3u8kBV+bXF3yi\npNT5dS5m+QnhohDJruCzTLHsftu0K7fnootZ5iCXiP5PKw0y80daqa8oysKFGeqaoCiKMo9YSHK7\nmaP425rfPQDcK+l+AM7LftR+dJCrKAoA59ulmlxFUZT5wkKS25mDXGZObCRE9McALoOZbu1KZh4n\nom4AfwHgowBed6A6GukcClaVn7gtiMjZmNUiMb/ISFJpBpDmEGsGy4mUC1Vh464WpWHA3BR5kXFh\nySZvBstPeteFPZMrAABXTx6TlO3b4EMun9hvpu1dKhKI78359TvGBpLlR/earAsVMfPBqgEftbu2\nz5vBlpaMeWzXGm8mG5307UpzeGnIZkQQibrzE9J0FYhuTrmL1F+A1JS74j8Umto2FJELpK9VcCIG\nMcWnvJbJUqquWI4kpa85hPr17JoVrhrStOVMX+LfljaT1beVMpOJ7ab6/HK5r97kJiNuCyKTQn7c\nmlIjUyUfKBaSsFSmD1U5uS8Td4WAq0Et4Wj48P88mQJYPAuI/D2YmmzAujHILDkDD3uZnSt7mT00\nYeTs98e9tfSxQ33Gmz9atslsn/eydV/O26WHhJx9ZMhO2y5k9op+McFP/95keYmV2d2r/bNgdNIL\ngqqY9KKy2yyXRGaJwpiQ2fJchzLShE5/zAyfynhTL4ejkf4BV4CIJ5ivm5rKPeK6wIH1GTI7PdFF\nvWyMTQYR9AeQzzbhqlHulctWZovjka4lzkUBEDJbXLNUf1IZcTrgWyZYSHK7VX30vwH4ODN/1RUw\n8ziAy4ioD8DnATw1trGiKIsLxsIxeymKoiwGFpLcbvUojkU8L9mjAJ4wve60BlWBvH3zcbkAY0FH\nQU2ALJNnQr7huvy7QmuZzrsmgtDs23NVBHLlJnxj/SK4gWxOxT2VJUnZz6qP89ttNMdzbJ8/3TI3\n7pRQg44MG20B7/cH8cg+r0HYvdS/Shby9u0w51+zp5b6Po5zvcZD5j6UgU2pt04XTFIOawqdhqYg\n4jvkW2m5R2gjfKxGQk7E8uWnAloboTXIRaZBTDTEkcR5qdyHSd2MYLII6RzB9WVZwTZSS5LWBIjN\nbJXCuK9bHPbrpSY3yXkr3/4bHQDE9MnTUPguJI2A0gGq3tKVBAtXIlooGZyJgKYwspl7BqQ0xFJk\niCA0pwUVaXSRH/dytv8R+R8ygmlIBADfUj3Ub7jRfDmNLpCW2RXxXBgbNW1V9nmV36PDXvDtWeK1\nvqWiiNB1/e73ZRNlOZe32Yec+rw4ImT2RL3MDuUoB/w5y02GNYaTfVJm12s+8zJILWX1S7dftxzo\nT1xmy1zIqK+bJacj08xnPStCGu+U9rYvLL/dPS216137ZLC3GGeUG8vskKY8OV+RbjfLQpLbrebJ\nvRfAO4goNQyxLgvvAHBPcCtFURYlzEZYhj5ZENFFRLSDiH4vys4noruJ6HdE9G0iWibWvY+I7iei\ne4joBaL8VFt2PxG9V5QfTkS/JqL7iOhrRORt04qiKIuUmNyej7Q6yP1bACcC2EJEXyWizxDRV2Hm\nGT4RwN91uoOKosxfjNmrvUEuTD7EU2vKrgNwLDMfB/PS/T4AIKJjALwGwBPtNv9ORHkyzpifB/BC\nAMcAOM3WBYBPAvhXZj4KwB4AZ0/jUBVFURYEMbk9H2nJXYGZf0pERwH4BwB/BOApALYB+E8An2Hm\nzCnWOgr7QLOQ43XK1CyneEwCz2RtGShUb7JJtS8CGoTVPzGDpQIbRN5AElPy9W21dnsWJirywWQ/\nzxvXhep6v/2yog9MWCpy4vb2m7ZG5SkQdqOxEaF4t0FZXA7bcSq9wo3BBkXI81ERuq6ycD1wAWnS\nVSCVJ9EeRnFE5m4VwXwFYQZbYipP+dkxawKq6oPf5HqZa1Dmik36FgmkSLsY1Of1jREyaQXblcFk\noq68EmWbU3FyQJT1SxcQX+7OQ2m3L+sZrIr1cgrIkH0tbM5NTF7uPp6uu0K1PeFo5c3GmrJrxc8b\nAbzSLr8MwBXMPAHgISK6H8AJdt39zPwgABDRFQBeRkR3AXgugNfaOpcA+DCAC9rqrNIUhAw3hdT/\nJhCMKmSrtNbKPOZOFqTbFzJbljqZLZ8PYjpTN10qAPQ95gSeyKML71Zwa07OUGo4rHcwWR7o8gFp\nfX1meUTUrYoApPFRL2jHrGsbl2XUl+hvyR/n1EB95Goqt/ZkfR5tKTvTAV7mS0412zUsTOsTUmab\nylP90kXNN5Ufz5DZwiOjMC7KQ1OLR/LVur5XY7ncJS6gLZavPKT+iwjtSobMltvlncz2twW6h6S7\ngpDZ5fr/R8wd0/WnEy5mpun25fZco2XPYju12rvb3SERbQBwKYC1MJLnQmb+LBGtAPA1GM+mTQBe\nzcx72t2PoiizzwH27XojjMwAgENgBr2OLbYMMJYmWf50ACsBDDFzOVBfEajMVpTFxWL2yQVgTINE\ndDoRvZ+I1tqyI4mEKjJOGcA7mfkJMC4Ob7Xmw/cCuN6aDq+3vxVFmceYpOJRd4VVRHSz+JzTbLtE\n9AEYWXKZKwrtvo1ypR6V2YqyiIjJ7SzmYhxFS5pcIuqHmWrtlQCm7PY/gHFZ+DiAhwG8q1EbVhO8\n1S4PW7PhITDmxpNstUsA3ADgPc32zZnU0+aL+jx+5kAyGgvlw5PRnzKXo0ja6qY5ZBm9K6a2JTmd\npM260LdN2PxFPN8gmfyLP6v4jAvHrfPeIOt6fO7b5euM68LuCZ87cdeYWN7nlyf2mKwLNC7n1w2E\n9wOoODNYyiVDunKI5bIr83XLPWK5zzQiszMMbPJ96Bn0tquyrTO2WpjZlkgzjjR91fdbmsGKw/78\nd+01ncvLUx4Z1nDguqeyNgRMrTKiOXPa71RmCWGmXGnanVwpdibyFBf2+r9sl02l2bPLn5uuYb9d\nTrjHRHNWBvrj6EQeXQYl004H2MXMx7faJhGdAeAlAE62U0MCRhMr7cXr4TPBhMp3AVhGRAWrzZX1\nFcEBk9lJ5Hwkg4ksz4qSl7LeyodUvnP5f62K/0hAZkvXBakHcq4LKZmdcl0wYfQy48L4Bi8INvZ5\nv6LlBxuZvXPc+2QNjvsw/F3DXmaPDRpBmhsVmW8i+V2rRbNcFvm05bSyEpefVcqGSo9vy+V0Lez3\n2y950Pehd5c/jwXrPTfmZ67HpJDZual6d5LUlOrCXSEks6ULQyq/b8Z9IfOC5+qTVKRytctnW1Bc\nRmT2xAr7LWQ2F4WLx26/k0Rm7/Z7KEZltnXraCIHbjVn3W46lPs8Q2434mIAn4Ox/DiuA/A+Zi4T\n0UpgaWwAACAASURBVCdh4ijeUxNHsQ7AD4noD+w2nwfwPBi5fhMRfY+Z74SPo7iCiL4AE0fR0MWs\nVU3upwE8A8DJAAaQvsWuQn2QSEOsv91TAPwawBorTJ1QPSiyzTlO8zM1NRKqoijKHMEEMOSCn3Yg\nolNhBlIvZWYx6zu+B+A1RFQiosMBHAXgfwHcBOAoqwHoghGq37OD4x/D+/SeAeC7bXVqETFdmT05\nqTJbUeY6MbmduR3zTwEM1pRdK9zCboRRKAAijoKZHwLg4ihOgI2jYOZJAC6OgmDiKL5pt78EwMuz\n+tTqk+bPAbyHmX+MdDZZANgM4LBmG7Ja4W8B+Htm3pdV38HMFzLz8cx8fLHYl72BoiizCKHM+eAn\nc0uiywH8CsDRRLSFiM6G0RIMALiOiH5j3+bBzHcA+DqAO2GsS29l5ooVrm8DcA2AuwB83dYFzGD5\nHTZIbSWAL3fyyBcanZDZXV0qsxVl7hOW25iGi5nljQCutsuHoD5e4pAG5W3FUbQaeNYDYHdk3QDq\nB75BiKgIIywvY+YrbfF2IjqYmbcS0cEAdmQ3VG/ySiV0llkSZCR5huk2ZT5zUyYKtwRpPqCKbCzn\nKvjt5dSHgawLcurJ3m1+xgO2riZ74N2c7yysTZbXHnpvsvzUJZsBAPsrfgKIO/YfnCzLZOET+415\njYQOjKYi5kJrE5MTn1SEGUZmRAhREZNMrDnExKP0FH3qg83L/fEcdKPfsXNdGFst+r3e25pKA2Kq\nZDu5xUCPL5P72DnszYF7dpgHbHHI3yTSFFfwCSsSl4aUmVNYKYticgoXLSwzT8iI5sSNQZzbsr9U\nGF/t91E52Oykr9/vbFQkiS9s9ebP0qDZrrRPmLsmwi4KOXefyskxhFk2lRS95r+UZSpuBDOmk13h\ntEBxdCDKzP8E4J8C5VfBWJpqyx+Ez8CgNKBTMpsBMclMTRaP2n3KKcLLAaGd4eaQmjY2kkkErl15\n/wuzdch1ISWztwtBACMAhsj7ad1d8MrtNYf7mVqO698CABju8YLg7hFv6x+b8v/zMTs1sJTTeZkR\nQU5j65IRyEwxUmaLTAzJ+ZEnZJmXnYeuNQq5otjZA8vW+T782u+ktM+ck9Ex/1+vHuK3ywuZXSya\n8iW93gehJPaxY5+U2caFIyWzRxrL7NSERCKbhJyQomDlZEVcazkBT9XKcjkWEI9XTKwQmSXWmnPW\n1e/vhck9vrJ00StZ9wvpVpYXLgo5OZ4IZR+JuGDWZfCZbnaFuNxuy8UMaCmOIpbboq04ilY1uTcB\neENk3SsB/DKrAaty/jKAu5j502LV92BMhoCaDhVlQVAFYbKaD36U+YHKbEVZXMTkdruIOIrXNRFH\nEStP4ihqyhvSqib3gzDOwT8E8A2YUfSLiOgfYAa5z26ijWcCOB3A7UT0G1v2fgDnAfi6NUk+DOBV\nWQ1xzk8H65zGZY486XSeTzmuB97exfWr5EQQgq2SurxCq0ChFwmp6RUahNQUhDYgTeZ3lE7nfVar\nWyl5Ld7uJV6r+7t+r6UvWk98Gf04KILQZJxcodtoRCvijTu/T0xDPBl4WZKBDfKOYanxsAEcIkgq\n1+O1r49bagwAz17uNdA/6Do2Wb5n5xHJ8urfmfNQEvkDxcs7Hr/GK4yOGjDLR3T7sg1d3tgwXPFa\nldsON940v93jz90je5b5urt94EduxJwfGTAhpxbu2uvPWdHmjpRanwnfbBLMIWVEWWi5lxzsNTwb\nlg0BAPaM+36PbPfXskskaCoN2ymaI9rbVMCCm546pcXyi9VSvVbAa9imo8ptO4BBmTt0TGYjB5R7\nzP2QTAUrVC0yuDM/LoN6zbfUzkpZn8qTa+/7XMp6l2FklDJbLEstqcupS/IZM+nbdQFp1YKQ2f3+\nv3v7Em9dc9P95sQfVsrsckUEvBVNHRaWs5zMFR6Q2SlNbpc4HmnptOUs1pe6vSb3mOXbAABP69+U\nlH07/5Rk+YHdhyfLK39vzkNBWghL/twcu25rsnxE/y4AwMbuXUnZIUUv2HaXvSb3tsOMzL5jyFv9\ntu5ZkiwPD3o5mR9xmnah8Y7I7K699ZbfieUi0LnPymyhBa8M+GtVOsgf6MZlxnNHWg3LY3Jfog/7\nrcwOBJjVEgqKZmmJk1rd2tzm06WDclvEUfxpII7iq0T0aZjAMxdHQbBxFAAehYmjeC0zMxG5OIor\n0OSLdauTQfyciE6GEW6fs535vzDOxKcw803NtIH4U/PkVvqjKMrchgGU2wwyU+YGKrMVZXHRrty2\ncRQnwfjubgFwLkw2hRJMHAUA3MjMb2bmO4jIxVGUYeMobDsujiIP4KKaOIoriOhjAG5DE3EU7UwG\n8QsAzyKiHgDLYRyBRzM2UxRlEcIAylUd5CqKoswX2pXbczGOotU8uRcB+CgzP8TMYwDGxLrDAJzL\nzG9spc3pwDnC5IC5EGVnbhX6hlhuvVy53kxWKQkXBWk+K9YrMArSvJAVahdxi/Y5VcPBcS6Pbu9O\nb1Oe2OyDETaXfEDDTptTsVT0dVnY9YoF38llS8z7iJyWqDoedpJ350y6Wch8hnL6XBecJnPFlvf7\n/j60zyQT3Ni7MilbI3L9/nadb3hsi4t48u2TyOV7wvJNyfJLlvwWADAgOjYg+rs054/tlF4T7PF7\n4fZx00He5Ha3CNbbOWFMT5MVb7IZnfKRZTtFcMT+vWLaZEtRBCF0WxOgDOA4ZIk/9ics2ZYsT1h/\nkB8NHZWUlXb4v2n3oAiesNMi5wLTPwJI696cGStSNzVdalc6MGi60/qqJldxVPNeZifuClJmi6li\npauQq8Mi73jKxSYw1auMi5UBwjHzcBaJG09qCmHh6mVlds8uL4v6H/YyY0fPqmT5h/uNmb2n5IVo\nNRLh2Tvgpm0XsrXs2+2S06vb5mRT8jy66dcBnwe9IsTXRNH/uGevecasKPq0bytKfvmOtf44xx+t\nN23nCv6cP3vlfcnySb33mOMSiWsHhG1+oMfLuxf13Q8AuH358qTstrUbk+W7R7wbw/YxI9dlwNSo\nCODbLfLFD++2bg4yD/qAvxbdvUZ+y2fqQf37k+UjB7yrxbZxs98tO30fS7tFUN6QPw/OBUe6Uoam\n7wX8NUy5Lch5AGRedhvI7oLnppsvdyHJ7VaP4kwAqyPrVsEHISiKooDZaARCH0VRFGXuEZPb85GW\n3RUQT9lwLICd0+iLoigLDDNzzvwUjoqiKIuRhSS3Mwe5RPR2AG+3PxnAd4hooqZaN4A1MFO6zRic\nA6Z6jVremb6kW4KMrKRUWGJ9qG4q8r1bmKBs5GmqXRnNLvpDgXZl1C6n5p4NRcQKM5hdXxj1O+5/\nVETcVvylG7PRpqNiWsHulT6B4Io+7zK9stuYm5b1+PWbaUWyPN7lzfv5UbO/XMpFIZxtALY8J+4o\nEid1e8WY6r4lTEa93bIBz+SSejN5rssf25Hd3rx/nO3vjoo3o+2sCPOcSG47kDMmvscVvatAkbwZ\n7ZjuR5PlcZsosSI6MVr1prztU0uT5c3jxgVjrOJNYz15b/rqsiewJE7kwV1Dol/er+YnQ2ZWw+Ht\n3h1imcg+WpJTQNp8naEphgEfDQ5405Z0+5DR6eU+f63cfyrJYzpNWVdZIGYvpQPk/JSozkwuZSuH\nRUIQef9WhOtCtRgwnU/4nWRmWgikPjfLAROwNB/b9YUR4a6wTfbFL4/tNf/voVViatxl/uAPWiGm\nbe82snpkwLsobOnypvHxbpFHe7/pkHRLyEl3BuHC52S5lOM5IcMenDSuAI/s8qliSiWZksUvTvXb\naypyhXd1+bqPL/nsCn9oMwY9XPYycrvYbz7lemYeKBuLQ2L9g8nykaXtotx0aFzMqb6v6rMv7Jry\nbmpbJsz5kzK7S8jnom2rRwwiDury16RXnLQH9z8JAFAZ9NehX8z5lXLBsa4J0kUhloEpcc0RY4iK\nkOnlXr88ZbNMdSK3ebKvBSK3m9Hk3gmTBJwAvANmKsytNXUmAdwNM+OQoigKACOfKwtEI6AoirIY\nWEhyO3OQy8zXAbgOAIhoGMAXmTkzAe+MQEi0fS7dYF7MapKfFG9Qk7LcVJaaLqlZlY74FftKJN+M\nY57MLvgh9RYltQIhhRtHnM6dU7lYXdrj3zSldjU/aTq0X2gKJvv8pZ2q1Gs2lnZ5Te5By32e1sGi\n1yyMj5jX8vKIb6u4T+TXrcqgOfstlCTFYRH8Zreb2us1uUPL6rXGgJ9tRrxkJzObAek39T0Vo6W+\nb8q/sW8re83DzoJ/++6yUYK7qz4AxGlsAaBbvJ275Sk53ZtQiRws8jr2W/XIqGirKt6C3RtxUVy0\nbvJajIcnfTDeHbuM9qS03e9XBi7khFYgeD/Je1PmFLX3unw5l5qA8aVSQ2C1vs4wMa10idS2sLSB\nri8BsIOZj7VlKwB8DcBGAJsAvJqZ99gJCz4L4EUARgGcycy32m3OgMnxDQAfY+ZLbPnTYKxPPTCR\nvG8XicqVAwBDBNTY2zoly0Qwq5yhKm+tFqmYMRL/MTFblZMbeZk/VmphU5e4XuWVCkyT8jsrYI3S\n/xsAKO3xByQtLvlJp3ITszp2+51Jmd1tT0pB5NSdFJreQTG9/fj+gMwW+WHlDI8uJ7EMIM4PCZm9\n17RR3uXbHx2Q10TmfbffQpMrZbbEyewHp3y+221lbxkbYZ/n3OWA31YW1kb28l/K0WrgwdxNXqav\nKfqEtb12ejQ5S6jUXDqtsNTYypzG94z6gLfNg0YrXNrpr5mbAQ4A8lJmZ91D0jJgLRUVEWwpLW4p\nmd3j7j2Xr77xbrJpX27PNVo9iosArA2tIKKnEtGG0DpFURYnRiNAwU8TXAzg1Jqy9wK4npmPAnC9\n/Q0AL4RJJn4UgHMAXAAkg+JzATwdJvXMuUTkbL0X2Lpuu9p9KYqiLDpicns+0uog9wIAr4+sey2A\nf59edxRFWUgwjIYk9MnclvmnAAZril8G4BK7fAmAl4vyS9lwI8z0jwcDeAGA65h5kJn3wFilTrXr\nljDzr6z29lLRlqIoyqIlJrfnI61mVzgRwBci636MmU4hxt48nnNTOQrTi5ziNGW6zdfkAUXaYV5Y\nw1Pm92AX8iK4xwVCRKbWo8h0v8n2qWmG69uQ+VC79nkbX7VgzUo9IrAh780wj4z4rG9beowSSwYg\nsXhD44q0Z1sTyJSc9lf0R5zrZHuZYziQU7cq8g5XJsN/GucuUu71fewW+SSHRTDBPVOmsnRRqEQS\nu+6omMCDx6aWi7q+D9L05aZI3lvxU/1Kd4RcNMlIPVXbn6o4z6PCJ+aOfT4/7+A2Y7ZbusvX7Rqp\nDzaTpO4VaZWVy/Ywp/qEi8JyvyyntHSmLnf9pifbGmoAVhHRzeL3hcx8YUaDa5h5KwAw81Yicgmj\nDwHwiKi3xZY1Kt8SKFcOIMTeTO7u5JTMFib99BS+bvp24aJQDMtvKXdCbaWnc3duPNlaquA0qzKA\nOPA0JfF/lTI7MUWX8qLMP3h2jnsZtavXmPVJmP+lnOay6EPZlovgW/kMo4AHgTyu9LVwC8ItQbjy\nyXPqrP4VMUVwTlS4b8IbgAdyxlVOuihIVwApk4es/I3JbNcW4F3LdpV9gNmwcEeQOHcEKcerQnhO\n2UHAlLD7j4qb7K69/nhG7bTry7yXBQrjMt+zfO7X9yUVbCaW3fgk5aKwLCyzXdeci870x6PtaW7n\nootZq6eiF/EUYgDQ12CdoiiLDGagWs0FPwB2MfPx4pM1wG1ESCJzG+WKoiiLmpjcboKLMcdczFod\n5N4OIDRtG2z5HZF1iqIsUqbhkxtiu3U1gP12Cda2AJAxAesBPJZRvj5QriiKsuhpR2bPRRezVt0V\nzgPwLSIqwYzYtwI4GMZN4S/sZ2ZxSQisRl+araQ9hXNe5U+9zvQl8oT2hKeIdNkaZKaGdB7FQF47\neS/IYHhp2gq5K2TkZCRp9qhI1wVjVxKBryjtkdkKhEksVx92KfcrXTiSwF9xvNIMI/vg8lRWU+df\ndt61KcyR+dTJSRadm8LUUjENrsj1WxT2t0mbUWJZ3ufJXZv30y+uFia+bTYfbZfYXro2FMUczaNc\nsuvrsyQAaTNWt7XxlUL+GwAmrOlLujvsnPQmtQf3+OwKXXYK3+5B3283fS+Qng4yyebRhKnV1ZH5\nRKcGhLmrp26Tjug1GdSsBqBZvgcjb86z398V5W8joitgNAB7rTvDNQA+LjQBzwfwPmYeJKJhIjoR\nwK8BvAHA/+tkR5UAJKbHDchsSsls8d+zeUArEZmdyqlt/4b5iKxK/V/csnT5CScFCP4fUqZmJ9+l\n+V80Jl0XitZ1oV/KbJHZQLoxVAt2OeaKJKfkFq52DhndL8+De/6ltgnIbLm+KuS3zJleLTqZ7Y9x\nebfPRiNln3MrWCHk9NqCz/CzQvibbK8Y/ziZHzYvbP4yx/hw1bgmyOwLqf1Wpcw2sr5fJA6WGXEG\ny8YovbcssvaM+2wQWwZF7uCd5ni69tVPuQ6kXcwSN8WMDE2Av65lKbP75XMysH3iYhJuv1kayO15\n52LW0iCXmb9tfSU+ATOgdWa/RwG8npm/00p7iqIscDjti9wKRHQ5gJNgBOsWGBPWeQC+TkRnA3gY\nwKts9atgfLvuh/HvOgsA7GD2owBusvU+wsxO0/AWeP+uq+1HURRlcROX27uY+fgO7WVGXMxantaX\nmb9CRP8F4GgAKwHsBnCP5pdUFCVEu4NcZo65Rp0cqMsA3hpp5yKY9Ie15TfDTEeuKIqiCNqV2wG2\nE9HBVovbrIvZSTXlN6BNF7OWB7lA8kC5u51tOwr5JNQp05WlWkjXdfiocRGBKiJyi8I1oWjNDrnJ\nwLTAaGL6PIos231nbU8pi77or+iDm9wiN+jLSrVeMXXt1pu9ATEJBYBKl408lucxkke9XLLmxC5p\nbvHrnUlSuojICqFMGGVxcmRydDk942DBTI+5LOfdGbpTKTGornxDwU8R2Svqyq7ttaYtGb27u+Cn\n2pUTUjh3BekGMSSyMmwum8kntk14c9eDw35Cij3bffmSnaYTXYHpewGkzj/ZHxyYIhpIn1NnpkyV\nZU1U0gGYAV4gScWV6cPwcrnSXS8DpayR97XLLBPL3iJN8sVRm2lHyuyU2BGZCUJ/HZmQX/63MmR1\nMsmFLJPPGNEdN7lFTkwW0bVXumrUt5/K7iCfC0JmexeEcGdlf5zrR0pmS9c1J7ML8hzIkyM7Z7/l\n9uLkOvM/ADw8ZSZ2OLToH1J94gEsxdKAla0bI3V7RdeGqv4ZkNQVE/hMiptriZXr3cLFbJuYqv3h\niunjwyM+q8Mj+/zyxA4v3wfsvEDFEeGiIO496SJCGbrAdAYmV4a6MtOuX+7ENL6SDsvtWXUxyxzk\nEtHfAPgGM++0y41gZr4gq01FURYPHPNxVBRFUeYk7cjtuehi1owm93MAbgaw0y43gmHTQMw47i06\nEiTVPeRfe5xTOJVTarEE6cifvJ3LwAUxzV7oLY0RfvtP5y1trMkN5tGVL9GiDy7vb+otWrzJyzfx\n1Fu5Rebxk4FNwX7JnIuibmncrIgdj9M2lPdE+iK1wlbDk5vw2ttH817z+e3yk5Plm5ccCgBY1+On\nuVxbEtM3isS+LmBttZjqd1nev/3LILShSp/99m/sMthMBr+Ns1F5yCCH+0fXJMv37DN+9tv2eQ30\n/kHfbvcWrxUu7XH5nsOadgqoXLO0A6Y9c88XR31bXSLQpSrueRfQ4A5neloCSuVhVhRHIlvF7Zv3\nireUzM6PmeVQ4GWMlLVKaG+lbE2mrk4FE8tG6vsbCgoG0vIw2UbmPRUBRO4ZE9LCAukAu+R5JM+T\nlNlTAZkgjVkyEK4iA1oDByFw8rl7MNxHEccVlNk7C17zeW358cnyPcuMbDy0z2tn13Z5mdwrboK8\n7fyKgg9SWykC1iQ7bH7cXWVvGZMWNxmwNpU3/Ryd8jL77v0+X/kdgyYP7u4hb70rD/m6PdvEFL5D\nNjh9ov6+aplUzmIrs0fC51wOCCbtIbspraev2W1Pbs9FF7PMQS6zP5NyuV2IqBvATwGU7P6/yczn\nEtHhAK4AsALArQBOZ+bJeEuKosx5GDrIneeozFaURcYCktuz4Sw3AeC5zPxkAH8Ik//sRACfBPCv\nNmHwHgBnz0LfFEXpNEzhjzJfUJmtKIuNBSKzm/HJfXYrDdpkwI3WMwBnbyjaDwN4LoDX2vJLAHwY\nGa4PVAUKNi7IBSbIaWd7d3gH9Z5HfB6+3C7jKc4TvjL1+nx41eXe3DG1ythu5ZS5Mr9rfiLgYC6D\nJ0I5GSFNX8FD8xWkyU26KMh8kdZUVO7262UOvak+UbfHHYNfL02ExRFZ7kznokwE5Ul3kPx41W4j\nnO/LwgZoF2UaXUTM7JVecwILY/5EFkb98vAOn1f2N0tNgMBtff5a53v9cleXuAdK5nqv6PXBZKW8\nXy+D28bKxu4jgyeK+UpwO7Z19k74KSRDZq7iPt9+rwgy6d5dH+gokSZNiGCbZtwUHM7MW9jvj0Gm\nxuWC71vZ5mKcXFa165reTT0MYIFoBBYrHZXZHJDZQr707pQy25uwadC4IPGkkNlFb4rmpd4VqLzS\nuBqVe8WNK9xx8jJvqXNZiwSbhVwios96tw/hDpHOYSvy/iYyWwTXiiiqcm9AZos+pmW2kMk15xaI\ny+9EZk9GZHbIdS0y9bx7PhbHvByRMnts+4pk+falJsfsb/t9YL2U2cWil1FdRVM+IHLu9nf5ZRYX\nw8nsKREwlRN+A11Cfhdy5jiHxrwUHBzywXE8aGX2sG+rb5+Q2SLI2wWcSTcYeY/IW8i5MsZkdyrw\nzF7D4n5ZJh7c8rFgc/9PrGich7dpFpDcbubxdQPSOcpqYyprr1b9bAM1EFEewC0AjgTweQAPABhi\nZnen6zzyirJA0MCz+Y/KbEVZXCwUud3MIPdJYvlgGGfgHwC4Eibf2UEwE0O8AMD/Z+/N4yw7rjLB\n77z38uXLpaqyNpVKVSWXltKOZdnyAvbQxgJjbDdq3DYYGFqAuz0wBgw0YJsf02w2baa7wWbYRm2b\nNjQgG2PaAtw28iIGGiwkWcKy1ipJJan2JZfK/W0xf0TEPd/NFzdfblJlvjrf75e/jBc3btyIu5wb\n9yzf+eGlHNQ51wLwEhEZAfAXAK5NNUvtKyLvhM9djOrQ1lQTg8GwjiA9ohG4kGEy22C4sNArcnsp\ngWcPx7KI/Bp8ruFfWNDscyLyfgA/CeALSz24c25cRO4G8Cr4vMWVoBkoJPkNKeRuB4DhbftcZTbw\nf4ZIUTbT9E2pCaQ0RVH0Y54n1c2r2aPU1LYyTLb+6DXAJmOmLW0kzFmltEmHkUX1JreSuaOAnSHV\nVy5quEkck2SuKgULX+4jjadGd0SM0OXjchQ+RwCXg9mtXCdTEbNXdLGs5/gbA28jp6BlTkzmkyzP\nBl7IfnWEaNbUjDk3oAeerfkJjfWraXMBEXHHuITSAjNFZLtF1zhEFMscpZ6c0XItjLFCriCcArJK\n5qhSPOc51xa6rh0jzKMw4jzBPlKepUjrWeYODed0S8yPugoSXSc9Y/YyrI3M7ov3XUJmV6ZUWAnL\n7NHoYkYyu6buQaUBLUewe0DuMWczfEwxXMCHmzMrB/mQo6tld7Qgf4XrunBY8/PIMi4ns4NMzqXf\nLUjFHtPr5lgdSKYzJ24pyuxGWmZn8p9dOXLvNuo3vAuaRTJbPU9QDnKyPZ6W2fV+HcPcgD9B5/rU\nlQAlGiOf3uxFSFV04V2LZFx4Twm7V8zSeyWw0DADBctsdiEoJ9gtcgwc3XhyC5g94j3J73V2LWGZ\nHdEcDi5mq3ZX6B25vdxTcQuAvy3Y9rfIZ6lIQkR2Bm0ARGQAwLcCeBTAlwG8NTRjwmCDwbCR0S74\n6wIR+SkReVhEvi4ifyoiNRG5TETuEZGDIvIJEamGtv3h96GwfT/1875Q/7iIfPvzMMOehslsg+EC\nxApk9nrEche5owBuLdj2XWF7N+wG8GUR+Ro82e9dzrm/AvAeAD8tIofg0wV/dJljMxgM6w0xgCH1\ntwhEZA+AnwBws3PuBnhf/7ejOKL/HQDGnHNXAvjN0A4icl3Y73oAbwDwu8G/1LB0mMw2GC4kFMnt\nDYjlxk1/EMBvBy3JnVCf3FsBfAeAH+vWgXPuawBuStQ/BeAVyxxPB9gcM7+d7DtOozv7BoNpq0ER\n8mzu3txP/UV7Fh0kkYIWIILvAhcFjrrNovjY3tLlkyOXqIEihMvzwbTCKXn7KZJ3is1Z4T+buPiV\nn5tP3IfaDqTbqj1ca3L9ljrr2PzWquncWsHFoD3IeTtp7k0yQ0Z3EbYqVulHH0UOV739rVyhOnJH\nKCfKPMUmmbvmZvV+yRz02UI1oH1FEng+j+zvxKbJaCLMEcvT9m4oStccr3fOvMpFNpvG47U7z+1K\nICvXAFQADIhIA8AggOMojui/NZQB4FPwckpC/R3OuXkAT4cF2SsA/OOKR3WB4YWV2fpcSUtldqXm\nZbKwzCZGkMYOZTNpbPKCJZ8ONX0Tu9RzUbRft+cgPm/0DHJKbmb+ia4alarKlMaQljlpS5YGmRNE\nFL0rQj2nuWc5y/tJwj0r55oQ5T+7O/RTmWX2YDCT1ygLBbkVgNy7pNE5eGYsYlkvQWYL1VWIfYGZ\nGEqBMYEZF5rERlCf04lklP8V7bc5RPMJrhxtdu+gOTC7Rbnu60tFGSBS1bmU6tSA3gsuHLtdkIaa\nD5e5hqxSVjNWIrdF5KcA/Nswkofgs5jtRoJPW0T6AfwhgJcBOAvge5xzh0M/74NXXLQA/IRz7vMr\nnceyNLnOud+F19juhM9+9unwfyeAt4TtBoPBkEFc+g8+9eN99PfOuI9z7iiA/wyfBvI4gAn46P6i\niP49AJ4L+zZD++1cn9jHYDAYDAkUyOzi9uvU+rZsBkzn3GcAfEZESvCL29POnR+yCVfS4KT411s9\nnwAAIABJREFUhcNfmvOb6StuWAMTKheHRgUXLa/VilyO7Y46IK85i0FZua8tdjpPfL2lOPR8v537\n54IC6LitEGDRzmkF6GuWuBij1oS5T3MaVSKybdXif+Z9TAe3xbnlghF4v/7QgLWo9NW/ZbN6+F++\n9SwA4JpNJ7O6Gqk7T9U1cOzY7BYAwFRDL3zuS55UE/FLe3tNI8D21Maz8tY+CnQJ+51taMDDqXk9\n7tk5rZ+c98eebyz+OE2T9ndqE/Ey99FJC1OO2gFggUYqoanNcSvmrAXUNmi92jneTg5u02PEYIvK\n2XBjtDo1PkuGW3T/M865m1MbRGQrvBb2MgDjAP4M3lqUOgKQjslzi9QbzgOc5IOTgLx84nu9Qdzl\nld1eGBXJU7ZMxeCcUo6zu0CTm0ivXvQyj89ZLmVubnv4n+OoTb8ao6WtOUDc5rW0zI7ptVnjTRnE\nc/K7GaxgbEliWS+54LZO61uryjI7BLFVycJF1rXNm1ReXrrFy1FO1dtPkWfnmsQhPu9l50xTJ9Eg\nE998Uwccuck39anqdP/w2ay8lSLD5oPK+eS88tzHYwHAJL0jZhr+pNWb6bVTO3DtTk7ruKeGtJwP\navRltrSmUi0XIRcUmRBN7aLUz6xlDqenOh4C6gru0SVjcbm9GNad9W1FMXhhIHsAXIE8p7zBYDDk\nIO30Xxd8K4CnnXOnnXMNeKvRNyFE9Ic2HNF/BMA+AAjbt8DHCGT1iX0MBoPBkECBzN5w1rdlL3JF\n5P8EcBTAMwD+DsDVof7TIvKTKx2IwWDoPYhb8SL3WQCvEpHB8FF9C4BHUBzRf2f4jbD9SyFT150A\n3h7YFy4DcADAP63V/AwGg6HXUCS3Eaxv9Hd7tk/e+nYJgCGsA+vbstwVRORnAfwqvO/ElwF8iTbf\nDeB7AXxopYNZCTIrhyz4vwDstB/V/+0CL4/KfCeHaWk2bYJKBZnlzcsFA09tZ1NzMH3wYoCPVR+m\nlInb/URmL6IAjhFyZ9hE4w0uAuWBdOrbWlXdAvpDSsUyDXJyTk0+kxOkxJ/y5h/mdMWA2kzKweQV\ngwMAoL+mx9o5pC4EVw2fAgDcPPR0VretPJWVR1saZHJqyJumplpqShptqomKTVfRdeGKwdNZ3WuG\nnsjK+ypK5nii5bmS7529HCkMlTWKpBFSKs611G7I6YBrIQVwnW64J4c0NfFYSQnyS/WYHlP3Z/7G\nQh7c7MBUTgTAsOmLHxa+z2KaUHc6BFQsI/AtPablm72cc/eIyKfgAxWaAB6A51r9awB3BF7uB6AR\n/R8F8EfBtDUK79MF59zDIvJJ+AVyE8C7QmIDw/mALBKYi3zgU848nwWIUVccq1Tnez3ct60Cmc2H\nj2ZnquyWLjsn39mFLPLkcnpXet4aQySzd/jnfGYXyeytJLOHUzKb0orXVP6wzB4IMrtCcnZyXt0C\nxil1bXMi1PM7pl9/SCiXyMWs0qfvikE67s6al8/7auqusK2sMp3dzcaDbGWZfXR+JCtHFzRA5eh1\nm09kdd8/ck9WHqJ5Hmz4/b547vqsbp6i5gYres5Kg/5cszsby+xqICyfGtH33aHajqw849R1rTTv\n+8hxxNMagnmTJZUqmcD3Tkyx3KryTU+NE/d/dTy4sK2FhFu+3M6sb4BXfIKsbwk+7WhlO/J8Wt+W\n65P7LgD/wTn3fyccgR8HcNVKB2IwGHoTK2VXcM79IoBfXFCdjOh3zs0BeFtBPx8A8IGVjcJgMBgu\nPKxAbmfWNwCz8Na3+6DWtzuQtr79I8j6JiJ3AvgTEfkNeI3wqqxvy13kXgzvY5FCG0Bn2hmDwXDh\nwq2KQsxgMBgMLzRWILfXq/VtuYvcQwD+BYAvJrZ9cxjUCwenKfWyCzKnm1llz9G10ULBaWNzZtyU\nRYHrOJo955oQTGpL4FbMLCOcsq/VuR/z3c5v1cs1vVvrp/b5yZcvUfPQ7q2TWXlbTSNQN1dnAQA7\nq2r+v6iqbQeJzHEmhPA+NatmmsfHd2XlWWILaMRx0mksU1RudFOQUvqEsCn/+Lw3O329vDer20o5\ncRtE4TAT6DRmKNx4lBgRTs6pWWm64du0yCx1afVMVh4saQTv2eAScXhO535ocmdWnm91PjopcxcA\n1AaCKW9gTOvKar67v05piCe9e0V1Mu2ukOPUTXF/spc93f/RrFqitJDMDVomu0wl4+jsdJlZCWyR\na8jgiLEm3J8Vltk5ly3aLcpscmFw3UiFimR2jsy7mz9ZoiqXPr1z/9aADmyuQGbP7A4uQftUNl+y\nfSIrs8weDswCO/pVZu+uatvhsp7A6ALwzJy6Qz1KMvtcWVPWNyNHLKcNZ3eF4KaQYwAiGccsCMdn\n1S0sm0NVZfaW8mxWjvKbXQkmiX1hbF7HOBeOMVhRwXdPbX9WvqZ6PCsfrnv5fGha5fThCeVaZlQD\nawNz2/ZX1BUjul8wW0S1rNsfnNexz0378fYRH31lLi2zXXAB4Pcge8ewrIz3FqfydSSoS8R0lBED\nZaxMWDVWIrfXo/VtuYvcD8FzltXhKR8A4CIReQeAnwbw79ZiUAaDoYdghF0Gg8GwsdAjcntZi1zn\n3EdCBN1/APDLofqz8Plbfsk59ydrPD6DwbCRYe4KBoPBsLHQQ3J7Jckg/pOI/D6AbwSwA96X4h+d\ncxOL77n2EAfEIPdMpU9fHzkC8AKWgqwvNhPkzLzxWGkXBU6DkZmxJB2py0T8KMXIdTLpz+uBWwP+\n0sxcpKbsyUt1/7lLtO3Axd60cv0ujUC9fpOacQYpB+FE05tWZokJgNkIRqHlZ2a8qefJMTXZj03o\n9tYc2QuDJa5cU5NOf7/aaSohTW6lrOPeXNNx7RpUl4mBYMofa6jZapIicXNmroavH6sr0wObu0an\ntTw75+d8alLZGc7Rfjds0QDOcrghTpG7w5kZnfvElO7XCoTiQjfGwKDOLdaP9KnJble/zvey7WoS\ne3iX73duQt0v+qbVzFme43TOnZ/azL7AySCiTYwjzl2OqJ7zebZzdasRdrLK/Q29BS+zgxl2vpON\nIJUwB2CWAoqGJ8acUorlgO3AuUeF3wvBfMyJU+gZyqX7DSiTnJaWDrg55OXL9MUqW6f2kMy+iCa3\n08uHK3epu9SrdiibDJv3o+xjl6yJpsoflt9PT3s3hUOjKrMnJlQGtim1bUzMw0l5qv0qvysVX89M\nDczksH2AkkEMeVesKiWA4HcMuyNEV6/JpjIXnJ5VmXxmSudTr4e2xOoz09R+H910ScfxTs2ozGY5\n3SAXg3i5S5T2fZBkdn9wTdgzoMmCLhvSJBSnKY30M6N+bo1RSjM9wzKb7rdWK3d8AHl/EF5chPs4\nsiwAlMAD6h4JANLOy+rSal3M0Dtye8mLXBGpwUfD/Zpz7m4Af/N8DcpgMPQIekgjYDAYDBcEekhu\nL3mR65ybE5GXw+cjXjfItABRiVp0YUhRFTUArNFl7sRSiq+22fmF5TfQMVwXrQAdL/ZbFAg0s8t/\nlY5dS93vp2AE+uqMqQ8rNPltFKjFeGzOB3U9PHpxVjc5q1/J9Xn9Sm5O+nJ5quCSD5FWcbNXqQ8M\naODaMGlqB/u8BmBrv85h76B+JV8zoJrnnRWv5eQAs8itCADHG8qpOB20AU1qW29pudXWC+9CmQPm\nnh7TwATmTIyaiW1VCgwZVh5dTuE71VhI1twdw6Rd30/BDcd3ei3EBI0rch8CQPUcaQhC2tJuvJ6+\nTSjkeBjZOkEBJ5EfMf5brbDrEWFpWAM4vRcXym5fZtma4Mkt4NjNpWJvdsps1ri6cpccSAWPcXxv\n9E22qE77mt4dZPZ1tM+lKj/KpF4b2RQCgAc0mIyDa2uiGtPHZ3zg2MOju7O68RnVUM7NqcxujXvZ\nVpmkACWewyYde2mz11bWSGYPkvVtqOrrR/pVq8wy+/IB5Ru/vN9zm89RjuETTeW7PVWnVLvOa2qb\nJJsbrfQ7JlrBokYXAJ6ZUF7xOln1tvX787eDzukcBcedJX71ZtBos2hqtzs5czk1Mb9T929SmX1s\nh5/nHHEQV6b1JuqbIYtDvXON0BVkfcsFoTVpPRHv+fgO6xZQuRT0iNxebsazOwH8q+djIAaDoTex\nwoxnBoPBYDhP6BWZvVyf3M8D+E8ishs+4OwkFno7OffZNRqbwWDY6FiF2UtERgB8BMANvif8MHzS\nmU8A2A/gMIDvds6NhdS/HwbwRvhA2B90zn019HMbgF8I3b7fOffxFc7GYDAYeh8XortCwH8P/98S\n/hbC4QV2Z4gm/szSnMuTywEEWhstHFxHtKa5FJGZSbi1hCsu+TEtBJuHozM5p32cuYi4Xq/z9dtv\nOpXVvXi7BkY9M6Xm7KMT3lxyek7NMRyMUKa79ehMaDuqzvmOgpxKxO/XV48T0jk0Kd1kaVhNW5uG\nPFfjUD+5K1TVJL8tuCnsG1Su2BcPPpeVX157NitfErgAT7fUVPQUmb44RWR/iAwcoDS7HPxQI+7D\n6ZqfJ7sacLBY5NEFNIhh/4AGG2wnbmF2u3h2ypvPmDdyGwVlXD7sg0v29OvcN5WU25IDA0e3ebeM\nf9pNXJFjWq6N600b+XOlIMBSEmZg0dOBEjV2nMIxlMvBNJzk410GViEsPwzgc865t4pIFcAggJ8H\n8EXn3AdF5L0A3gvgPfA50g+Ev1cC+D0ArxSRbfC8jTfD38n3i8idzrmxzsMZnneIuoZF83/u/shx\n43ZJ68suCpzWt95FZjPvazn2mw4WLlEflZlWGAvx3V5C/K7X+j52vuRkVnfViJr0Hx1VvtpGy/cx\nSkGyMSgYAOZJxh0PaW5PjlKK8nGVVeVpfeVmngXkf9egtO4ypAJgYNDLzP4+Tgus5W01b57ngKtv\nGDqSlV/Sr/L7yj5/zk6SzH6soW4OLO+29vl302YiSC7iq40ylbnNmauXZXbkE764pkG9m/pUth7r\n1+OdmfHnml0URgZ1vPuCu9ruqrpnDBGP+jVDGuQd3RWemNKxzE0VBA7HYEsKRsu5LnDgcDtctxzn\nLV1Ldt0JD4YrR7cFrBq9sshdrrvCZV3+Ll/T0RkMho0NBy+XU3+LQEQ2wyeY+SgAOOfqzrlxALcC\niJrYj0Pdp24F8IfO4yvw+dJ3A/h2AHc550bDwvYuAG9Ys/kZDAZDr6FIbi8BIjIiIp8SkcdE5FER\n+UYR2SYid4nIwfB/a2grIvJbInJIRL4mIi+lfm4L7Q8Ga9yKsFye3GdWeiCDwXDhQbAonc0OEbmP\nft/unLs9lC8HcBrAH4jIjfDpxN8NYJdz7jgAOOeOi8hFof0eAM9RX0dCXVG9wWAwGBLoIre7YV1Z\n4LoucoOv24+Gv/0ATgD4NIBfds7NLLLrCwJmRQAWcNzm0utShGOrczu7KESzFACU6gleOzJtOTJd\nRR5cNhUwewKbz9r93sQ0s0vNGmPXaF9DL/YmorfsezCrY+7EsTqxDYg3Y3GE6rF5Ne83KWXuVN2z\nEZQorWCTeBJbxD2ZBXX2kSlpWE02I8M6nmjm4nS2w2QqiikpL+tX8x2nZHxRRc9DxEniWTzdVFMd\np9+9buAoAGBXH6e51O0n+3S/icCpO9VQNonJupZnG3q8I9PK4JDNgdwVthDn7Z4hf8440pe3xxSc\n+/o0Ipfn0CaDSt+IP3/nGmoGffjcvqzcP67H6Atmyr7JNEtCErmUpFrt6LrH+3u1bgp6zMItZ5xz\nNxdsqwB4KYAfDznRPwwvGIuQ8hFyi9QbzhcWsHYIRY/nTaTsNhC205WLrmQAUJ4lN6p6Z05TZlRw\nxIiQsTUUyewGMSlUg8zerTJj9HqVrZtv9G5J37nnoY7jL8TDZz27zbl5fc5P19WFrI1Ok3ypTCdn\ngGQ22WNb0UutohPq26SuXEPMyhN4cJn1YYDS526PLmY1lVsHqmqm30WpyUvwYzxBLDhnm+o+x6b+\nnRXPUrOtnGYAYl7eyMAw06T35JwyS0zM6vmL77/mkJ6QwYrOfSulSo6MRMzwwCwSMe39ppLWjZR1\nf5bf37TDvzdmib/3yNxFWbmP2In6ZjpZlfj+Z0Rmphx7TrtzO4DMSTR7ftZCwq1gkUsWuB8EvAUO\nQF1EbgXw2tDs4wDuhl/kZhY4AF8JWuDdoe1dzrnR0G+0wP3pcse0FHeFHwHw2/CL298B8FX4FL7/\nz3IPxhCRsog8ICJ/FX5fJiL3BNX0J8IXgMFg2MhwK2ZXOALgiHPunvD7U/CL3pNBCCL8P0Xt99H+\newEcW6TesEyYzDYYLhAUyG0E6xv9vXPBnmyBe0BEPiIiQ1hggQPwglnglrLI/VEAv+Wc+zbn3Hud\nc98D4B0AbhOR/i77LoZ3A3iUfv86gN90zh0AMBaOYTAYNjhWssh1zp0A8JyIXB2qbgHwCDyNYfTP\nug3AZ0L5TgD/Jvh4vQrARBCmnwfwehHZGvzAXh/qDMuHyWyD4QJBgcw+45y7mf5uX7BbtMD9nnPu\nJgDTOM8WuKX45F4J4CcW1H0awH+DX7U/unCHbhCRvQDeBOADAH46uES8DsD3hSYfB/BL8P4Zi/e1\ngFg8p/rnoEUyz8fAVW7Lpq9SLm1jPAB1S4wIbSpH01eZ3B3Kc2oTbtUogcAlXukRI3IBoP8GdTd5\nwz5/Wl9U1bSPJxudJnQA2BSSLtTI1HR2XtkVJuuUUjFEqzIBuHAKWuo3RrxWyExWpchXbhuTLrTJ\n1MRmp+hCwCafMl2gQ2QWvHfuRQCAvx2/Oqvj6NqXb1bX8Kv7vVJurkSE6PTtxqkj43lgc9e5aTJ3\nUdrH0/Cmw2cqlJSBUl72lTtNooz+Pm17csi7TIxu1mtyVU3Nfnv69Lpf0+9dOBo71MQ1tl/He2pc\nI7T7AuF7zmzLaXvp/Ep2tQrkBN/fS89p0R2ro6L5cQB/HDSETwH4IfgP80+KyDsAPAvgbaHtZ+Hp\nww7BU4j9EAA450ZF5FcB3Bva/Uo0gRmWjrWU2VgoswtS+eZczBqhnlxoKnPkVsYyOzLXsIsCu5VR\nOR4i3xfJ7AFOq+5lyej1Oq7hG5R54I37HgYA7KbnueH4FasJeKJsZQaaM3WVD+xSFWX20IC2rVHS\nhnaCeYBdEFgWMTNBM/g5MLMBy7Whij/eYEnfFTyfh+qalOH/m7oGAHByXt3DIpMPAPyLHQez8isH\nnwQAjIu6Nky3dL4D5Abx6ISXd9PzaiSYmdK2nKZ4LMzjWFXfk+UKuQXQOYnuemzxP07n6eycvxbj\nm3WMNxCzxL6qXvebBg8DAPp267n78zrdN5Pbs3JkWijP6T3IDB7JXCg5lhwsjiUkBloSVi63Uxa4\n9yJY4EIcxVItcK9dUH/3Sga0lEVuDf6lwYiOKgNYGT4E4OcARCek7QDGnXPxLitUTQf1+DsBoDq4\nNdXEYDCsE6wmB7pz7kH4wIOFuCXR1gF4V0E/HwPwsZWNwhCwRjI7/aFuMBjWD1Yqt51zJ0TkORG5\n2jn3ONQC9wi85e2D6LTA/ZiI3AEfeDYRFsKfB/BrkYUB3gL3vpXMZansCv9aRPhlU4L/pnhbMA1G\nOOfcol/yIvJmAKecc/eLyGtjdaJp8pMkqMdvB4Dhbftcxv+ZUqzluHGZfy7/3+/PwQ+daXtZK5DT\nBJQ7tQ0cYNYc1i+6c5fqF2hM/bj5Ov0ifN0e/dq9asBr+sZb+nV/cFad2Sfm9fsi07jSlyoHQbFD\nfJwat2VNLSN+6c/SV+kUpQBuNTu9Xfpr+hXOgXCRu5a1Bk/N63wem1YN5T895zW59dP6FV0aUW1C\nc7/2O7nJa2KPzevL84Gz+q49PabBHI1ZPw+Z1f3LxGFIMQooNSIHrdbxR/I8sUHHjMLtsjaY0lOG\nU8P+S/6R7arJuXyXjvHmbcoRfMOA1xZwkNrLd+r2z+7XYI7pCV+uUmBDLRfQQGNMaQU45bR0PoLZ\n/qtUDqxZAJvhvGBNZfbWfS4TAYnWOY5xFi+hbanBQWGcirqzs1za9kraPJFxl9P+jc0q487tp4Cn\n632bndcpd/ktu5/Iylf0e35c1nY+SQFIB8d3ZuUof3Mym+TlfEv74OCoCNbUllg7G9o2KRptjt4V\nraYeI8oztlBxv8cqqonN5jCrcvrhCU0z/OjTl/j5nKG08Nv1XVAj7WxM/fvsrFrJ7juhyrxzZ/Wd\nF2V1aZaCczUWLJPTgMrq3HudDQO8HgingRXtcxRg/dSgn/uT2/WaPUgy+5t3HcrK1w/64OcX9avV\n9eZd6k76xUl9j82c82WW2TkrckuFdpJvv8gQt3AdtCY8uSvuZF1Z4Ja6yP3Zgvr3LPjt0N1c9WoA\n3ykib4TXEm+G1xKMiEglaAYsOMRg6AX0UOacCxgmsw2GCwmrkNvrzQLXNfDMOVdaxl/XbGfOufc5\n5/Y65/YDeDuALznnvh/AlwG8NTRjdbbBYNjAWCG7gmGdwGS2wXDhoVdk9nLT+j6feA+AO0Tk/QAe\nQMh01A0dJz6X6U6S9QsDH4AFXHRsxg19tPs6gxUAoFzvNJ/Vt6iJa+IyNd9MXKemiEuv8qatb9r5\nlNb1q+vCdNubzI7X1Qz/7LSad05Pq0knYrBP7e3M+deskukqBDHMUpDV9Ix+mzQbZM6a82VhJ/l5\ndpjXY8ezN1Mjk/2QjvHIkJ/HvX26U52CBkrHNABs+Fl/gocp9eH0PjW53eP2Z+WvDXoz2fSE7l85\nTSkVJymwbz7OQcdN2TNRIpeVmCa0Ms8Bi2nzTXSFYZeYNrkrtPr9OatT4NnBi3U+z+5T3/LHdnlz\n4FXDahLdWlGX+Gt2a/1DY37OtVHiYZwi94tp8rWI6Usl/V2bS2Wa7eZy/1YE0+T2MlYgs53K3dR9\nVRT0GGV2wb2Yc7cJspqDzRjlOQ4sDjJ7RF0Uxq/Uh3f8Bn2GrjrgFdXftENlNqd9nWz7Z3qMUqrf\nc3Z/VmZO1xjAO6JVGKTA4Sbpiybn/dhmKfiqUVfZ2arTPIMflZAZv1Rnkz6VQ7Fe1ZN6bEAHdCKY\n7B8gN6zmrB63/6iepx2HQ5/0Tpjaq+N9sHxpVn50yLttzY3R+Til/Q5O6xhj5t+czKY05rng8XD6\nmPOe2/J7O7qykFdfTn63qoH7fDOdj9PqevJJSrF85cXe1eKlW9VFYYR8Kq68WLnhH5/wLg/9Y2mZ\nzUFokac2l8q6yF0hPFMxvn7VscM9JLdXvMgVkRKALwD4P5xzB7u1T8E5dzdCxJxz7ikAr1jpeAwG\nw/rDagLPDOsPJrMNht5HL8nt1WhyBZ7iYVOXdgaD4QKGBZ4ZDAbDxkKvyO315K6wfDiXmSNSFyTH\nmNDqrOdIXTC/aInNzsFWwC4KHA1J/K7R5DV2NXHkvUTtLK86oGauV4w8DQDYVJrL6mbalC4ymLyO\nzqm7wrEpNZGcm1Jzd7XayVwwVFbXBeaQjUwJs+NqhpFpvQ0qs2QqCmYjspaDMuZCmp3nnE2ELXKT\ncJUwBjrlg5SOduiknsf+M37szEzhKjpGaercXcuXt44TfyZH3zY72QZKKdaBBSg34j2S5l1muGDO\n42juNnunT/n66jnio5zUczN7Tq/r/Wd89O0TF2tU7zU71EVhV20yKx/Z49MFT59SHkZ2XWDuz8z0\n1ZeeMD8/8ZxlaSWTeywRroD5xHBBQhxHwbusLtteoD2KsqZUxKiQS7XemQ5VWGbX1QWhvt3Lj9Fr\nWWarTP7frtIo+ldu8TKbU9SOUxrb+eCjdIrS856eUtcF5nd1IRU4y2zmh2We3MgROzehdaVJSu/N\nMjuUyzoFlJg1hjyYMnnG7ztmDgrvDb4+fSTDhk9oZ9VRf5DWoI6r3afuCkLvtljetgSZnY23gP+V\n75dSq4vMznGBB/ctdlcg+R3b9p/Tuiq5vs1O6HWPLgjPXaTv6it2qOshuw4O7fKpjGcuVuaK2lgB\n00J2HujepunwmgUx7XXGorPKBWoPye2Nvcg1GAzrHr1i9jIYDIYLBb0it1e8yHXOtUTkWwA80bXx\n8wRxxE0bLwh/vbOGIKfVDfs001cxxanIwQqlGf3ibm3Wr9XxK/yX79TL9Mvtzdd+PSu/bosmhysF\n1drppmrxZtrEydj0X4rHZ3T7+KRqMNsNCjAa9GNjLkLO9PXshH5hTp0I3KpnSeOXcPQHgL6pEHw1\nQ879Oad+bRu1JrkAkESwHwcClGf1nPZNUQRYO/al2hX+0h86pn1Uwxj7prWvXBY60lKkMiy1+7ht\n53jzGe1oMwc1xntOCjS52fG1HMcNLNCUBK363Djx/hK/8vV7jmfl/SOeNvDB/aotmj5LwRyTrKFn\nFU6cQ3psUUMgcQ6r0Qq43jF7GdYATmVAJodzvKb0XPB9E9vmeE9Ze6s3c+yjPKP3fGmGeLZHVI6O\nHfAyd+qlKmC+67p/zsqv2/IIDcEf40QzndAi8r+emScu6yl9HjnbWAw8q5IQnWho22fGNRg1k9ln\nSGbPkMwmS1vfdJDZcyyzdXsuaKvbc5mQ2RXK5lnJyWx/EZtDLHPIUkfkctXpwBE8Q5m+ctdS20qn\n2MrJ4dQ7pl2QkZTbxnsuFYzG4HVDdZLq6Z6tzESZre/qR+b0XX4FBZ7t3nIOAHCIAqmnRylQepoD\n0ha/PrnnJntnLrrL0tFDcrsrhVgKIlIRkbJz7m+dc1NrPSiDwdAbiAEMK6WjEZGyiDwgIn8Vfl8m\nIveIyEER+UQgHIeI9Iffh8L2/dTH+0L94yLy7Ws+SYPBYOghFMntjYglLXJF5CIR+RURuVdEJgHM\nA6iLyGSo+2UR2dmtH4PBcIHBOUgr/bdEvBvAo/T71wH8pnPuAIAxAO8I9e8AMOacuxLAb4Z2EJHr\n4LldrwfwBgC/KyJd+bwNBoPhgkWB3F4K1ptioqu7gojcCE8V5gD8JYBPwL9cBMAIgGsA/AiAHxWR\nb3XOfW01A1oWmMutm0k1sdkVpOflcjR5lac02KDdr6dt7Eo1MY2/zNuF3kLmrjeOaLlwZ7C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f1BEbnteZ1v78JktsFwoaBIbm9ALDnjGYDClL3OudNYoj9uwKudc8dE5CIAd4nIY0vd0Tl3O4Db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JUVbTjWwmDgtt4mHerp94FhvkEfXcSy/z76IsZ84dm4jQZMyO8Fe/LME8V+Sx8UeQAQB+ApjQ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QmSvaSJ7bNaLemhDGO1Kut7luqjrPtUW/ewdz8VbisOkeWLNGvb3nssAGDhH1R7W0jr/diz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\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efx3n9IwPN/vQsWt1/yP6nC2UqD9B03h2D5WOLpGWL5UAro8EJQbShmbwsyuK\nKaRCcVaCLrLbS4rJdc49BeA/APgPInIRvNd2F3ym7RiAhwB8xzk313kvBoNhM6JbaC+DwWDYLOgW\nu70cdYWHATx8Bvpy2nDQQPpY6cNRhZmk+gcAoYS05j4f9N8Y1q/oFgXkF9hbEBJ2cvOU0DaqXtT6\n/h1Juxq+XDm4f9sdT+i+hvVL/tYfR69tu/cWAEZDe6JFmoB3kpD6Y5r8kBv0+2WdVqFEuso//yhp\nn9Z1e+E5AICZs9RbEb/+T0YuJBlMPVsTDHp2a3/jdhxkXzmhn4qc1BXPRXmCvApl+tqt8id5WDaj\nczf4KHk+yXOZ7J+q4jV6238HVGew2UuJaeSdTSVdhC/qXI00DplRiNdogz0f9DtV5lvY6b0C81vo\ni76i13Q5r/2d3+aX77td+3LoKu1D76hu1zPqr1/WViw/qbVbYrU+AKhtCdqUYewr0lx03UN7GVaO\nXL2FniOh+lVMLKNEsZTNJk9uTGLl67TZT4lndI3mCtEOM5On90Vjix5vYcivO/48tUXXPv+HSfv/\n2vFPSfvcIldlbEfV+f7WKaH5IFVqfOCEJsdGD251Xu/RhRPMJpLXMDAyZc19RnmSbEmt/f5iNjGl\nF5+RaMX3J1f7jHNanFaPeW1Q5zQm1DIqJ+j8tZg1or4FJo77wkxSZZTOe+haizRs2X6Xxyi5ticf\n9qWbs83OQpMqmTYrpJ8c9sE2m+eUvcKlH/mVZ3breOd26bVZ20psYH9ghrdR5bgFnd/5rVRNNSSv\nFcfUd1g4RpX5iJ1ohVe5RNN8pTK5XWS3l62uYDAYDIuhmxIYDAaDYTOgm+y2veQaDIYzB+e6xiNg\nMBgMmwJdZLc39kuutNPnrI3bIiqi1a/0fX2LbzOtka+30zSABl/LES3l6LYqBTWzr6dtu613q5bp\nP9x96ymHwCEKVapJvDPvqYpX3P5rybJL/kpDFBhZ5WTd/ELGmkhoP9mn1Bk4sJ00gKtbPX2Wp4Ss\n0jTTYBz1H/pCVFJ+gRL4Ah3VQ3Obohhp/pMylCkdxmzaKR6vukOpvtKkzimXc271kIhj7CMnphFV\nJyH0gENPOoU2xK2Y1eexNWOIRocvYw5taFT8upxcx3TksTddlrRPvLCdLiwf0z6OU+ngEa/HnaIu\ni3RP8DhXTHWdhG7xCBjODGRWRV1bw6TDWqLwgGA/mhS6E+lp4KSSrZN+f60+pYxjIhEALIzodpOh\nauvlz9Kwsj/c9ZWkPZI/dYgCoyy+bx+auDRZ9uiklhCfXWhPXnaUaFQc036Vxyl8LrDVHL7FmtvF\nWQr7mvU2lxOtOQRhYYeGe8SXmNK4JhvHufOdC2EFVdbTppCKevtLULNC4yHN3bRerW8XZiixkMIB\nW716jmMyGIedtUpkh+lFrDjl7X5tiBISSx2MWXg08VOF3yWi/ebkLi4BnHouhFC6nnEOC9Hfp6jv\nzRCuUBnQOZ/fpr8XqHxx37HQL7rm+RmVH1ONfRn22vx8f6wU3WK3N/ZLrsFgWN9wAJrd4REwGAyG\nTYEustv2kmswGM4ouoX2MhgMhs2CbrHbS37JFREB8CoALwUQ65ceBfAtAP8UyrU9sxDVu2v1eooi\nf0Jd+Oil0nmDRHOVIiVMdG+qrCDRQiGb0W1RrdljP6EKApxl2eiN2ntLL32bp6zSkZxSSf/x2HMA\nAJf8xo/atjldzL1SKe5I37D2anGcQhtIZ09ppWzBPL4JWiGrszihNEzhkGbvI5QIlrNU/LZV6XD5\nRa1H1n/swPXHrFvW9GvRGPJEY8ZMW1bSYNrJFYj+DOeFdXLLJ6i8YobqAuvv8rUVM4dFmLLT/uY4\nOzpcpkUS46v3aR/rAxTisRDGuV37VXxM+9UgCc/xC/26/Qd1+9JWvd7ys6QeEkI1muWw/5Xc2Sso\n62voPjghtZF4v1H53laZst2Jti4E9ZRWOVvnmb1OjRF/XdeG1f7P7NH9zu+gUICLvH1/+x5VuRnJ\nU1n308Ad875v082ezN+LVDa8Vg/9qRO9P6P9iiXIAaDvcDP8TuFfFN7F+q4I9o5VVNjGpZQUojLN\ntNp/4dC18EhvlUi3tnbqm5nVCHLM73MoV+gPa64XSGUiP1dvW5dtOocZSipGLOiRH1fjWZwie9iv\n10Ocv8K02k5WeJjf29fWb7aDHOYWdYR5+2aRz6W2Z0OoTK6fwiyGtQ+1aSrnPOLHXJqiUDx+bszp\ndrlwDlsxNGKlb2NdZLeXpBwsIlfAa+F+CcB/BPAGAD8f2rcDeEBEnnemOmkwGDYmBD5eMuvfotuK\nvFpEHhKRR0TkAxm/v11EjovIfeHfvzkTYzAYDIbNhE52e9Ht1qHNXvQlV0R2wr/IzgN4DYB+59we\n59xuAAMAfg5ADcDtIrKj854MBsOmg3M+OSTr3ykgInkAfwFfKvxSAG8VkUszVv20c+554d9HV38A\nBoPBsMnQyW6fAuvVZi8lXOG98C+4L3fOcT1DOOeqAL4kIt8CcB+A9wD4vVXvZQc4UleoDwYqotWX\n/J6icYjmihnmhUmiKkg0mjNMm0N+f+PP1sIGeYpGmNqvVMT+P/HqB//wY6W+GPdV9Xh7Cp4WqlGU\nx1Vf0bK9F7/7wcx9LBVjb3xu0mZ6p/eYP25xmhQISIC9ladiGoHS8dduWNbhQo9KC6xmgDx9Q8XS\nt7QspWLBoQn52C/+cqTiCH3aH5cheNCoKFWXq1OZ0FjatsNxJUMonSnPHGfaUjteT6w2wXNemPPL\nWXmCwYoHcFHMm+dZt2uWqBTy0375AmU/z56jfeg5pJPTe9RvVxvUjs3s0bH1HtdjxKznwmw4/yuM\nzVrm9i8G8Ihz7gAAiMjNAK4DsPL4HcPaQSTJlE8K9zCFnqLTuWBKCLM6SgVvpmaTdnOHlmiPSisL\nW/T6n91H9/yz9TH2ry+6BwDw+j4Nczvc0PbugqorfHLKKyX8H4OqnvMNKgvbE/jdgbzS/yM9+iyZ\nr6ltrdf8ozc/y+FhSRO9x+g+HvX7Y9vJzzZWFIr0fqcQBS5CUzoWxskFIDJsNjoo4rANLI77cRa4\ntDmFOXC5WZcUBqLwsFqHGrJRDYiuhdSzgm1LVulyLtowpuciKQ5FIQag7SpHg0IHvRc0+km5gJV/\n4vTTwcr0psR2v1X0+5gtaAhCoaLP38aAzsP8tnCNLNBxabz8OJHw7MmH8IvViKddxj7Wpc1eSrjC\nzwD4y5NfcBnOuQkAHwHw6tXqmMFg6AI4/zDM+rcI9gJ4iv4+GJadjDeKyA9E5HMictZqddtgMBg2\nLTrY7UWwLm32Ujy5FwD43hLW+y6A315Zd04P4lR/LyYTceICf8Wl4kmi5mKffiEVT5BXYEQTD2Jw\n/Jbvj+v2j+p53EL9+VKGB/e7Vf3KfkG5TL/49neo3PBKvbe5YU2OK0/qFyF/vWtJTfYeUgJZRhnc\nwgx7Cui7iL/wQ5O1aF1J+xPnnBNHUrqzfHpcep9+Oy7rS0kX4aue1+Wv86yvUao2mUqk4H00+toD\n+JspDWCdX/aKJ8dN6eS2l5tkNHvavzVTGpTk4ilrRWlUxvw68yd0QFPn6b4Wdmsfo35l72HdvjpC\n46lTcklImkt0jlfoFDiFR2CbiNxDf9/onLsxbpax/sk7+gKAv3HOVUXkVwF8AsBPraizhjOO6A2M\neqf5Ot2QzJBwMuSs91Bx2fYWeW/ZlsfSs+MX6yVUvExvnPdf+uWk/fZBL0Z6rKn2n723t8xScmYw\nTE3H3lv1wtUDrZSj+3ViQT1246NahrVwzPe3clz7OPgEeW+PkXZt8M61KJGavbegZ4yEEslRMxZI\nJ22xza5v9Sxl8RjprEv7bcfeW/ZslqfUYx09tey9nd/FGvJ0iCz7XtJnY89xHbvMB91fyodj11x1\nG5WczyjhG73gAIAGPRcis0j9RSsj5pRzgmlOU6XOwzp1Sm7npDvWz83HZGFHevTbqA+9eg00+gL7\nRsnGhQVdN5b9BYACggd3CXGzS0UHu73hbPZSXnKHAEwuuhYwDWBw0bUMBsPmwan1Fkedcy/s8NtB\nAPyVvw/AodSunTtBf/5PAB9cZi8NBoPBENHZbm84m72UcAXB0n05q1wryWAwbGQIHKTVyvy3CO4G\ncKGInCsiJQBvAXBLat8iu+nP1wF4YFU7bzAYDJsQnez2IliXNnupOrm3i6QIg5Xs64xAMl7DU/Qw\na7oGWoP1YWs7lUqaPJfKQfb7nfR+VUMUssISGE9S4sILyqcuC/nrv/vepD2CH55y3UVBOq/lE0Rh\nZXyRSZOo7CGlfFyK2orrZl/cTnjdSFdll76NiQWpvnT4dIqJT7xudWu27mMzam52TIhr7zv3mymu\nWBIztTyl76ht1vCNIRw5KqXZpLCZSBGmdJlpv81yeyIdh0aUppW2zc/r8tqQP0bPJGkBH9Tf52tU\nTjIkrJWmtN9Njp4hxLEnpSlX8um6zMo5zrmGiLwHXtklD+Am59z9IvIHAO5xzt0C4NdF5HXwRTrH\nALx9BT01PANwedEk4YB8X3uyq/+j/cJrDOi2TBlPna3LZ/f65X2Xq9PoTy/7bNK+uqLHqDt/T+7I\na8LyKIUu5EUp9615b9fvo0TdZsbN8a2x85L2049rWd/+R9QmVEaDpiuFlVWO6POowKEAIYQsP0pp\nMTQ3Keo8IDdJQtt9OgYumRvte32XPvuKo7RdDGPjBEC2h5x8FROf6F6vHKPSt31Es4cQsXp/9itD\ns0eXFyZD0h2F0dWG9XmV0u2NIXFUnpdDJnqfpvLRQZA89eKWo+dZoP3ZC1ina69AWr7NSgwRoTLF\n9MxkPfhY1r5QJQ3naT1KdSuHufn/86nQtWyN92bQAI7nIeuaOC0sw26vV5u9lBfT/7zaBxWRx+HD\nG5oAGs65F4rIFgCfBrAfwOMA3uycG++0D4PBsDGwBA9AJpxztwK49aRlv0ftGwDcsKLOGZYEs9kG\nw+bCcuz2erTZi77kOudW/SU34JXOuVH6+wMA7nDO/VEQEf4AnuFENoPBsMpwLjuhw7ARYTbbYNgM\n6CK7vaYhBifhOgBXh/YnANyJxQymU0o7/u+IqqiXidriUq/BpV/folTG5H6iu0hTsbrVr3vfIiEK\nAPBo3dNZ5xdPHaIAADdP+8zgkb9beoiCu2R/0m4MKNccs/ebpEDA2fmsN1sY9Zm0rkJzw9q1+Qya\ng2gc1sFlCilm1fL2SXY+AAkUH5fqzC8w1dR+2PysZtn2EX3XqhDlFqi02ghRckT1M+2f6NX2sZYj\nZQ4XdL8xK5czk+tDlME9pLdOOagcNGndpCQugUsE83hZ97E+6PfLoRr8e55KoBZC6EKjV4/Vd4To\nz1G6HsI+mMorT9N+F9qpqUjDYYXU1xKkZwwbE6dvs0GhRa123eomaZFyeFB1q1/OpVMXSB1kYRtR\n45f5cIMPXHJbsoxDFBbDAtHzwzml768MKij3kVrNt+fPT9r/69AVAIDHHtKww4FHdRD9T2sfSqFU\nOt+PtREqQ0/0fuWAD7tIK9tQm8LU4nMupY07OUvramhCKwiSp1QJaOyJfm6enytUzpbb8YWInjtc\nLjhPAg7Nfv/sytc4bIyugQqFZO3oazsWKyWxTS0dbdf9nb2I9I94bFFPmAISWItXO8bKCBTORrY+\n9iHXQbEoRftHvedJ3ddAk/R52WaHobF+cmGuvUw9QKEj8edVyI7qFru9pLK+ZwAOwD+KyHdF5F1h\n2U7n3GEACP9nVk8TkXeJyD0ick+9Npu1isFgWC9w8A+drH+GjQSz2QbDZkEnu70BsVae3Cudc4dC\nGeAvi8iSBWKDJtuNADAwtK87PjUMhq5F99Bemxxmsw2GTYPusdtr8pLrnDsU/j8mIn8HXw7uqIjs\nds4dDjITxxbbjzRaKJ8ItHJGEYP6Ni7vSlnlgcJmynl+B9EEz1VZ4P/5vJv9NiQAXnVKNcw4pe/3\nFTqkqwdce+GVp/yd0brMZ+jO7VUx8rnt6njvHSUaZT6Wlc0uj9lzWNUeIo0i86q+kCfqyw3pGCIl\nk8qindMQghxR57k+n/HKguVM08TjlZ9UCqu5VakzzlxNqCQS6s6dUL4rP699aPX6MIXSCVLK2Kqh\nC0y1x+ITPDctDq8giilS9Rwq0HOMQiZYRSKWk+xQKCOr5nees3MzQjiYKkplNGdQi6mwDxavoLE1\nAgXI+21xpm6FBMfD/3GeOhWxWBKiR8CwobFqNrvpUJzw929UXGn26b1f76cQKKLyYzEBzjSvDlOJ\n6ovVnr3zsm8DAN7cr3Y8qiic3O7NpZUeAOBoU5edaGro2c3T3jbePXNusuwLDz9HN3zC2+rBp7Vf\nw4/qfc7Z9zEcIc8RTGyznziN/D1WocgoxcvUeabqAqkZOHoWSM33t3hYVR2KFBrBYWNJmASFs0kt\nWxWgEFVonD7bGgO0L1aeCc/qXIbSBgDURyhsLMxfflJVFPoendB9DepzITcf+slhBWymguIN28vC\nCQ77oBCR8O7BzwS+plPFNMJ4uDhGZTS7cEdWcYtY6ARIv9PEStL5jNL0y0IX2e1nPFxBRPpEZCC2\n4csG/wu8ntr1YbXrAXz+me6bwWBYbTig1cz+Z9gQMJttMGw2dLDbGxBr4cndCeDvQlm9AoD/zzl3\nm4jcDeAzIvIOAE8CeNOiexJJvpJc+EJKBYRTwhV/kTWCt2B+i35hzZ2t3tn3XaJJZtdU/Ik92NAv\n4EfqWtjt6kq7J4Dxin/7rqTdi/vbfp++9tlJe35L+zdHmXRN+45Rqd759q+s1JfdfLassUTvK32l\nuV713ubnKFms2J7EAE7mK9I+Cu3z73r18opagdF7A6T1EPOclBWOx975fF375Xr1i7y+rTcclxPe\n6BjUh8SzSU4B1qmsDrV7kQrz2YH+XOo4zg8nTKR0CmMZ03I72+D7RddsSF7gRAvejj3P0TvC1zbr\nArN2dPTQpEpp0pyx5HEzrFSYCftaCcHsADQ2pnE0JFg1my3NFvKz/t6J96OQvnQPebXmdxIzFq7B\n6X16P8/u02v9p5+tmvK/vdW36+Sle6yhLMxFRdXEzcILyMbdPH5x0r7j4EUAgInHtJxwH+lSlyb9\n8fqOkq2i+9VleOa4DGtxhr2g9fZ1yf3nSur5bJCHMqJATB3TzsL3Ytwd2SpZoJK68RnBzwqyVfVh\nOm6Y6vJT6oFOHYtZo9BmLeBWD9k4mqdoo5qFbE8uPwdbQZs8R89kvrZyZLORlWCdOlehP/RiJ4Vs\n+x3nVyhTMnXeuZ3hVmS2MMfnKjxXGjQ3vD0n60mw2fnRcO2t1AnbRXb7GX/Jdc4dAHB5xvITAK55\npvtjMBjOIJwDmt1hLDcrzGYbDJsMXWS315OEmMFg6EZ0SQKDwWAwbBp0id3unpfccD6Y6mDdWC5z\nuxA0Fxt9+nvvDg0qf1HlAO04x7sHAFxQpPKK0MSEmNDQorX/4SP/T9J+08Xq9GhccSEAoNbP5VuV\ntog0OtPe5TGikhrtNA3TIinNvyz9P0JuWgP1myNE5UVuhJOVWKM2tTz0geY/VaIzSmNSuVsufcih\nCzGcoDihdFYq0L/EWpqS+h9AinZqZdBGTPmw7maBtGIjhcQatCkt2VRiRzgWafKyxmdyDKKdUjqG\nWaeHKUQOF8l3WJ4clxIoKVynOB1DQLSPjd5sCjD2N4Y+ZOpHLhXOwXWJR8Cwcrh8Ds2g8Z0LuqOs\ntz23S0MUskq1V4fojx1qD9++/etJOx9ib5hc7snaWQf89/FzkvbnKbGscL+39SNHKRmJbEIphPcU\np0m79YSGubHNjmiR3cuRruyiST/0O+uzxvubddA59KE5pPY9aq3zM6ZQJDvcDM9Mvv8pbIxD4mII\nSrrsLBlaThzLKkNMtipFz2eFFXB3BnTdWLI8NacNpv8p7CI812O4GwAUZkkDPoZBVrJfkTgMIgkX\nm6dwk77sRDpphRAdvhbIjqdsetywlx8mmd1JbHYj6kxnzdvpoIvsdve85BoMhvWJLsnSNRgMhk2D\nLrHb9pJrMBjOHLootstgMBg2BbrIbm/ol1yXEzT60+oGKWqg0znK8OQzm8LaiICnm84u6LKqa898\nBYCieFphvKk02tsefWPSPvwO1VfsGfNfSeUpzq7VDkeanekLViZg2r+VpYLA4CwWj5O1AAAZGUlE\nQVTJSD0x/c/UONEwKMUSs7rM5UmtgMsK5qP+H00kZxOHYXJGLWv15gYr7f2hk9Ia1vlvUshEpKNy\nlDibotc4NCEMmVUoOLOVww3iNZIaD3NFi4QKpOJbYqJukUMJuORuO93I2cY56mNhlkpLBtUFPm5K\nZYLLOc+G8BdSvxAqJ9nKKAkdSxO7DhqVS8PyaS8ReTWAD8PP4Eedc3900u9lAJ8E8AIAJwD8K+fc\n4yvorOEMw+UFtSFvs2XQ/8+KLnyPMKqD7coo+bxe3xOtXlqbaP+AnflTa5h/t6oG5FNPvChp5x5S\nu9N72N8X5Um6r+bJlgTautmTkirRdkbYD4copNQIOJM/bsc2h+8pLnOb7FdD0LgEMFP5MQzJpWqM\nZ7Q5NpPCGZhybwZ9dKHnUq7ayFw3C/kZfWZiuL20c67Gz0EOc9N5qgft4VQJYLJ3IAWfGLrAIXE8\nN/HZxrYvVdK4Su8AUXue5rl0XMMf6yP6bGuFy5DLEeeoXDCHhiXqIymVnGxbH212KylXvFIsz26v\nR5u9VmV9DQbDZoCDfyBn/TsFRCQP4C8AXAvgUgBvFZFLT1rtHQDGnXMXAPgzAB9c/QEYDAbDJkMn\nu30KrFebbS+5BoPhjMGFBIasf4vgxQAecc4dcM7VANwM4LqT1rkOwCdC+3MArhFZkdvZYDAYNj06\n2e1FsC5t9oYOVxDnkEsEq72DnrMtU659EtSPrv0cMQ4zUyps/YWxK5L2rsKdAIDLKSqiLKQwQPhO\noDBuePQtybIn7tuTtCvEmBXnfB8ijQx0KJ/KDDhRQY5p6UB9cOZ8OnuTskpD+V2w2Hhe50aobG9c\nmgphSNE3XHTBz0mrg8pB+Yinb3KzSqNxUYfUMSLtQ9tXt1E4Q0bBDxbRTlPy7V3nZQUqHOGokEJ9\noP3WSIXCcMXK0HemXV1fxq3FCcacHU20HnJhu+yImJQiRXKGqC+FuWbmurmM4iC5GitatJeezOj2\naWMa47d/ufHpbR1+7hGRe+jvG51zN4b2XgBP0W8HAbzkpO2TdZxzDRGZBLAVwOgKumw4k3BqfxNq\nlq89YulZHSe2+d5tNvU6/dK4yvhuz/9vAEuz2Z+a3goA+G8PvipZNvOAFnso0m0TbXZxjosrtNPL\nqZALLo5D+0rGTgoEKYo5o2oAqyQwXZ5vaMlzF8IcXAd1luJhLdZQ27fF97dH113Yp4WOeh4fD9tz\nMQh6jrLdioVpahxORXPOhQuSsr7ZZX9TNjtMQ5HCtDgcgcvYtsJcNsj2cohfnvqWhBhwsQjQz3E8\nPI+8fWYIIO2A5/yoqjHV9g77n6kEcIFCJlLnOPaB+lihsslRHQM4Oaxu5TiF3d5wNntDv+QaDIb1\nDefcq5e5aZbVPjnUbCnrGAwGg+E0sEy7vS5t9oZ+yXU5STT1El07+qJp0Bcql9yLiTwtdmSN6Vfn\nnY9emLQPz/sv28uGDifLthQ0qPzB2V1J++sHzgcA5B9Tr2Pfce3D4JP6RVac8l+FrXK211EHSX3k\nr85a+6r81ZpKeKAyldGry6V8+euck8yiN5h/T+2XPIXlJ8f8oi2aqJGba+8kaydyUH9qbLMzAIDa\nWVu12+ylpq/k6PBIJX2ldAk5MSSuq7/X6aufr50szxF7bxukg5irBV1O0klMleINXoxclb3r2kwl\nXWSVAO6QsxHH3CTPK3uI8+NcojMMhOe8g/c7F6Q9XexDp4TGM4uDAM6iv/cBONRhnYMiUgAwBGDs\nmemeYTmQlkuVxAbSDFXPhN5wXMK3GUxqkyvYjqoN+6fSRUl7rOaT0C4dUJs9Qjb79uOXJe0fPuQv\nscpTej9XVNoWleNcMjsj2ZTZwlLUQKUVWKe11p6slEIn1jYyW5TYdFqBhpw4Rh7I0lMnAABFfj6w\nTm5MfmswO0TtWT2PSeJxDz1XUonHZIezPLnULp+gZLCMUsgp0NAkFxja7Ir2qG9XjeDoDS6M08lu\nZSQDU7+afTpPxSndLnmmtbLHw+3IkrG3n3Wipdpejlno8cAl3IucSBeOEUs8d0xCP7NYlzbbYnIN\nBsN6xN0ALhSRc0WkBOAtAG45aZ1bAFwf2r8A4CvOraRyhcFgMBiWiXVpsze0J9dgMHQnQrzWewDc\nDh98fJNz7n4R+QMA9zjnbgHwMQB/LSKPwHsD3tJ5jwaDwWA4U1ivNntDv+S6nGoSxmSG4jSVGlxQ\nR3V1hAK9g7Zh3xHS26Owgcachhv86Lgv8Xh/zz49MNEaxQndb+WEX16e0A+T3uPan1SSWaFdh08o\nNiHSDelSvdqFlDZiCIjnfTmiuyOFEQ4S/ueMNqb0M8ICHP9OoQJ0+bhAOXLCmyvR7zGInqkZ0sll\nmoYT0iJYo5AhkVXicAWWyWXNxMAWMgXW6hDmEPfBuoW8r5Q2bUgiSIUdEKKeIYdqcFgBl8qMVF6z\nPztRhmMtchkJh/Ve1qlUei0podpByzd13nIZ9NsawDl3K4BbT1r2e9ReAPCmZ7pfhhVA9H6J9oUT\nJNlGcmJkDM+ifFvkq3Tdz2mY1LeP+tCFb1XO15WbVLp2UvfbF2x2zxjR5RMU8lNrvweYauZwpqjl\nWnlSE8GkQ3JVYlM70NopujnMj8vSzkV6/pI275eTpBqcfBXOQ5510NtL8fIyWciIkwOSUIqUvay2\nJ3ql0Ck8g/dRaw+zaqUSi7lsr7QvI5vdHCT7m4yNSwhTiFm4RqsjFKIwQ4nFWSWLO5Ux5rCwuJgl\n13uzbX18rne8RjLmtDDpE7tljaqVrUebbeEKBoPBYDAYDIaug73kGgwGg8FgMBi6Dhs6XEGcKiVE\nfVDW+IzZrkC6lGszLOds2aEDpLdHs9KoRFqDyxnq70Uq61iabqb64rfL1h+NWbnSgYqIJVkL00oP\nNQaUOmF9RsyEZSzWTJm4nDkfP2tSpQ87lFzUPlIYBGfqsgJAOF4qvCJDX7fZQ5m8vUSn19pLQLJa\nQar0LR03hkFwiUOe55S6QgxBoJCLPLWbotvlq+3bp/qQb/8+TClEcOZr6A9rG3NWdkrpgsI5kmN1\nyDAuTvlrozyqc8fXSH2QrpeoY0xUK5f9zZOObpyf1HVjMKwy4r3F9HNtWO1sabb93mX52JTyCZml\nGMKWdY8CQHmKymQvBFuzwLE72mRFlEZfoPdZHpaz3QOdnSrNyvcQ28ZI5bM95e1Y9zTa8k75OR2e\nIckitrklUhiYay9/nAptyAgnSIVMZJUAZjqd7T/vI8PGuVwHW5MR1tGs0Hi4ivxkMNrN7D5I1vR1\nMnFRR7fTOcmfegyugzpO5amp1P6BdJhEbWcfLffHi3YeAHIzHcJFTobVxElgTzGDwWAwGAwGQ9fB\nXnINBoPBYDAYDF2HNQlXEJFhAB8F8Gz4PMNfAfAQgE8D2A/gcQBvds6Nd9iFRwvIzwe6aS5S25qp\nWGCquZYhpE30BdNVqcz3jOx9pi1SBRgCmj2UpcnpwMxAhXCDPJWV5XVjOAKX/2syBUIlgiPtl5/N\npmlSxEqkYRaInu5QFCBSMllZnADgiN6P85Oi7OkYifIDUVWtHg53oPmN5Xf5/FGmLmejZvaNk5hZ\nTSDQWCkRBfo9X+WQlXa6h0M8uNx2DE3gzOPiOIVMhC42skr9Ii0yHgXUU/0mcPGQmOGbI5H5woy2\nayN6kTR60xntQPp6amXNQzyUMV+bHqtmsx2rKoRrkUJoClQyN0fKBkWt5ZCAbTaH2ySqAMwuU+hT\nSnw/2KuUukih/R4DgOJMsHEUilTf0q4Ek1K5yaDmU8fjcIUOFHNryBe3yE1pSXSpt4+30z44HKrV\no7bTDXkVIQ4Vy4/rRGeWimUFgkFVIUoUM7iUeAdqPZmTTs8VfhbE8AhWI0ipW9AzL6OAA4PXTcLJ\nePpb9MwM+8ixyg1NR327qnkk9r1Cc1PO9h9WnpgOfekQysHhjWGczQqpjHCBpUXOu8FjrTy5HwZw\nm3PuEgCXA3gAwAcA3OGcuxDAHeFvg8FgMKw9zGYbDIYNh2fckysigwCuAvB2AHDO1QDUROQ6AFeH\n1T4B4E4Av33KfbUc8sFbGL8gi+P6tcv6sDkuR5uRgMSewpR3tnGSVwtAs5++jMvtX+p8LMd5Bey4\njGUFZ9XD0KCvxqjb2+Iyi9SHVHJbjPnPd/jC5eD72K5mf2X7QiXxeBlfxOR5aFa4NHAoXctasOR5\nSLzjKV1a8mBmeA1S2rg59oxSmcS4P96ePfS1Vttyl+GlBdJeTvYoJb+TtydP6+aDNmEqKYPmNz/b\nXh6XPR6pUsdZ3hMGkwzx2qNtaoPkqeHrIXr7yfuVStIstrejR9eZl2BTYzVtNtDuxSxMaQKUy1do\nvQybwJ7C+Q42O7JVnPjECVUZyVPMpqR0VjO0ydkLx8mozeDJq/cPUIe1WZqgRNqMkucpDyTrp9cy\nktR4s0KGt7iDN7lVaS9jnirpTTY76Q9r1NKzr9lTaFuXn308T1ne88791XZ9IENDlueGnwWhP6m5\nJRtYnKBEu4xzyXrlyTY92WXf2WYnz2pOLJfsZ3F9u/fKF49TOeFUH1Vrvbq9nSVIzVNGmedmSObu\nxARuRqyFJ/c8AMcB/JWI3CsiHxWRPgA7nXOHASD8v2MN+mYwGAyGNMxmGwyGDYm1eMktAHg+gI84\n564AMIvToLlE5F0ico+I3FNvZARqGQwGg2E1sXo2u24222AwPHNYi8SzgwAOOufuCn9/Dt5gHhWR\n3c65wyKyG8CxrI2dczcCuBEABgb3uUYoY1qMmovldgoFSCcx5BY8bcQJBEglGzAdEigdoluywgoA\nDSHgZDKmOBpEK2XSCYtVUeVytdV2yqdFZXRT2rcpLcZYfpED6omOInom7k86aB+m6JmYeMbHLdEx\n5j0Nw6V8c9RfpstjEiHTaM2K7ovHno+0E4U21LYqzcPJJ0lFxQ4hAaw9nI9JEx20Yh2FHrT6e0If\nMsJCoHRjodZOh/n+MO3UE/rNtBSfeC5vGTWCiQrka4jDccL8sM5ogeheLgdsCWeGk7BqNnuwfy8Z\nk2Bb6fpnSjmVtJXc59kJO6kwqGCveHvXmx0alYQmsE3QqIL0DRUTVzkcjbeLNqFDOFSm3ckq9Xvy\nKrPterYd9Wqztqf+tjKec/lWh1COjLLeqXPCz9dwfnKTTMOTsWEd46DfnZ+lsAJ+xqRKjMcsZO6E\nNlOa59P+GZMKr+JIDnoOJsnWXFKdE85DfwpHJuhg2eEKjZ1Dbf1KaaJz7nN4Zhb5PHCZ4tTY4vYd\nzi9tFzXRk9BFCzFL8Ix7cp1zRwA8JSIXh0XXAPgRgFsAXB+WXQ/g88903wwGg8GQhtlsg8GwUbFW\nFc/eC+BT4rOcDgD4ZfgX7s+IyDsAPAngTWvUN4PBYDCkYTbbYDBsOKzJS65z7j4AL8z46ZrT2k9B\nUBvyQ4iZ4EyhN0vt2Yd+w0B9MzXAjHCNs2v9D/U+ptbbs9YBpQryM5ohiZbSZFGrlPfBNL2k6B//\nf4EoHdYzZLWBZB+dGApmYQLFkaLymAIvsdZfe9ZufiG7ZG6kznlZSt0ihBukwhm4TfMQqZb6IIkB\ncx+IVorZwlJgJYYOdGHmUtov6TrGsoytTlRSPUOBg8ChI8m1l9JkZP6OKTdPTeaqfL2RVjJlRzcz\ntBizFBUADaGpjej1mGf1Cp6yk7Whjfna9Fgtm90qCub3eAWFnqMhhCnXroDShnwMbVikrCxYbaZD\naXPebcjEZ3o3x6oABQq5CjbOtWhfGc+QyiGKO260P0tSWIrWabT1TP/n2u1l6hhM//Nzgyn1YCcL\nJ0hRISNjPxVGkRHCAJAm7hJo8viMcTm174WZ7NCF0qRfXhsi1R9CYZqftSGkhVfg+CxW2AjnOBWi\nkBGOkBXCcPLywjFfqjcX9IyBdHhds5Lx3GfVBr726Hopn/DPAh57k8NuyNbHZ0HU3zebrbCKZwaD\nwWAwGAyGroO95BoMBoPBYDAYug5rFZO7aohsRHTXuw4qCY5GmlWylTMgizPaThUTCJCUqD9tN+Wp\nlfoWFjR3me2IVMk+prZiJm9K7DpDGJv7xSLmGdn9ANAq+324DmUHkSorGCgbLgVLpXi5kIWT9hAQ\nHltCk9PvBVKhyHVQukh+5xAFCqPIVJmg88uhJzGMgVUFpNYe+gBQmUqm6uj8sfi8zAXKjNelUprN\nSqmt36lQAppHyVBg4PLHqRCFeO1TWA5fr5IRplKcoWuB6c8MeqtlguKG1YZIcr0mtrqTwACL78fC\nBZ3KXdM9X5hrv4c4TCqXEV7kOLRtmpYzJRzsQ6uo9zbbl0RVh/fPkQ0tDiXKKEHbIXQhFmBIhXpx\ncaOsY3QomFCYU1tTz7U/T1LPz1xU4mlXJgLSoW3JeDop1zDVH9v8fOax0zCj0k6FQgC5GFOqeEUm\nyE432guGpMI+uPBSUJlwKftP23O4WdhHjkpH8/M3v6D7nQuhOnO79R2hTEVCQNEX8RlTmM1WgKhu\n033E52orHspMdwLz5BoMBoPBYDAYug4b3pMbg/1b0cOVSgSgpDD6tIlf/RyTXpwlndVB/kL1K/U9\nrVqFKY8cefdisHpKG7f/1Nq4KR1XSgRywYtaJ01e/souTtPXX/AKdkogY89FfSTosHK5yUkK+mcn\nR9SbZE9LgeeRPIjBo5qjL9i0lzqUfaQxsgcyt9D+lZyfZw80jYe8J3F/zQ6/szcz7i9VUpc9HlzW\nNyRCpLwnHbQckZHswZ6WeF00erI9uXzeY1lMPn88tmYPe1rQhkaFEuUyJEXzVdZwpiHwPISbKJnH\nxTL2DIYlQhoOPSeCDna0h66D24lZpXy715c1Uhe2qp2UEW93+p+Yo3XJJtA90Bhu16VubFUPWZ68\nwvX+UDa2nm0Hou6r61AKlkvHI+6jQ6ne1nCfrhoTcGns5cPkbuZdSLvHm599nIwXbXKq/G6e+h7s\nTsq2kk3mcsyRIczNdPCs0ptGnFMuC5xiHrnUbqvdthZIaz0zMaxD8pvroeS16JVl7XoufxwSvKL+\nLJB+dvGzKdHnZS94qZ0VBFSvv9GnfeRrN1enZ2a4Rgrz5BWm95SUXrMlCXeEeXINBoPBYDAYDF0H\ne8k1GAwGg8FgMHQdxHUoJbgRICLH4euoj651X84QtqE7x9at4wK6c2znOOe2r3UnDBsfwWY/ge68\nT4DuHRfQvWPrxnGZzQ7Y0C+5ACAi9zjnskTKNzy6dWzdOi6gu8dmMKwWuvU+6dZxAd07tm4dl8HD\nwhUMBoPBYDAYDF0He8k1GAwGg8FgMHQduuEl98a17sAZRLeOrVvHBXT32AyG1UK33ifdOi6ge8fW\nreMyoAticg0Gg8FgMBgMhpPRDZ5cg8FgMBgMBoMhBXvJNRgMBoPBYDB0HTb0S66IvFpEHhKRR0Tk\nA2vdn+VCRM4Ska+KyAMicr+IvC8s3yIiXxaRH4f/R9a6r8uFiORF5F4R+WL4+1wRuSuM7dMiUlps\nH+sNIjIsIp8TkQfDuXtZN50zg2G10S02G+h+u92NNhswu73ZsGFfckUkD+AvAFwL4FIAbxWRS9e2\nV8tGA8BvOeeeBeClAN4dxvIBAHc45y4EcEf4e6PifQAeoL8/CODPwtjGAbxjTXq1MnwYwG3OuUsA\nXA4/vm46ZwbDqqHLbDbQ/Xa7G202YHZ7U2HDvuQCeDGAR5xzB5xzNQA3A7hujfu0LDjnDjvnvhfa\n0/A33V748XwirPYJAK9fmx6uDCKyD8DPAfho+FsA/BSAz4VVNtzYRGQQwFUAPgYAzrmac24CXXLO\nDIYzgK6x2UB32+1utNmA2e3NiI38krsXwFP098GwbENDRPYDuALAXQB2OucOA96gAtixdj1bET4E\n4N8DaIW/twKYcM41wt8b8dydB+A4gL8KlN5HRaQP3XPODIbVRlfabKAr7XY32mzA7Pamw0Z+yZWM\nZRtaD01E+gH8LYDfcM5NrXV/VgMi8loAx5xz3+XFGatutHNXAPB8AB9xzl0BYBZGcRkMp0I33Pdt\n6Da73cU2GzC7vemwkV9yDwI4i/7eB+DQGvVlxRCRIryh/JRz7n+FxUdFZHf4fTeAY2vVvxXgSgCv\nE5HH4enJn4L3EgyLSCGssxHP3UEAB51zd4W/PwdvPLvhnBkMZwJdZbOBrrXb3WqzAbPbmw4b+SX3\nbgAXhozPEoC3ALhljfu0LIR4p48BeMA596f00y0Arg/t6wF8/pnu20rhnLvBObfPObcf/hx9xTn3\niwC+CuAXwmobbmzOuSMAnhKRi8OiawD8CF1wzgyGM4SusdlA99rtbrXZgNntzYgNXfFMRF4D/4WZ\nB3CTc+4P17hLy4KI/CSArwP4ITQG6nfg47s+A+BsAE8CeJNzbmxNOrkKEJGrAbzfOfdaETkP3kuw\nBcC9AH7JOVddy/6dLkTkefCJGSUABwD8MvyHY9ecM4NhNdEtNhvYHHa722w2YHZ7s2FDv+QaDAaD\nwWAwGAxZ2MjhCgaDwWAwGAwGQybsJddgMBgMBoPB0HWwl1yDwWAwGAwGQ9fBXnINBoPBYDAYDF0H\ne8k1GAwGg8FgMHQd7CXXYDAYDAaDwdB1sJdcg8FgMBgMBkPX4f8H5Psr6bubWvUAAAAASUVORK5C\nYII=\n", 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -371,53 +222,45 @@ "axs[4].set_ylabel('D_star (perfusion)', fontsize=15)\n", "axs[6].set_ylabel('D (diffusion)', fontsize=15)\n", "\n", - "im = axs[0].imshow(ivim_fit.S0)\n", + "args = {'vmin': 0., 'interpolation': 'nearest'}\n", + "im = axs[0].imshow(ivim_fit_dmipy.S0, **args)\n", "fig.colorbar(im, ax=axs[0], shrink=0.7)\n", - "im = axs[1].imshow(ivimfit.S0_predicted)\n", + "im = axs[1].imshow(ivim_fit_dipy.S0_predicted, **args)\n", "fig.colorbar(im, ax=axs[1], shrink=0.7)\n", - "im = axs[2].imshow(ivim_fit.fitted_parameters['partial_volume_0'], vmin=0., vmax=1.)\n", + "im = axs[2].imshow(ivim_fit_dmipy.fitted_parameters['partial_volume_1'], vmax=1., **args)\n", "fig.colorbar(im, ax=axs[2], shrink=0.7)\n", - "im = axs[3].imshow(ivimfit.perfusion_fraction, vmin=0., vmax=1.)\n", + "im = axs[3].imshow(ivim_fit_dipy.perfusion_fraction, vmax=1., **args)\n", "fig.colorbar(im, ax=axs[3], shrink=0.7)\n", - "im = axs[4].imshow(ivim_fit.fitted_parameters['G1Ball_1_lambda_iso'] * 1e9, vmin=0, vmax=20)\n", + "im = axs[4].imshow(ivim_fit_dmipy.fitted_parameters['G1Ball_2_lambda_iso'] * 1e9, vmax=20, **args)\n", "fig.colorbar(im, ax=axs[4], shrink=0.7)\n", - "im = axs[5].imshow(ivimfit.D_star * 1e3, vmin=0, vmax=20)\n", + "im = axs[5].imshow(ivim_fit_dipy.D_star * 1e3, vmax=20, **args)\n", "fig.colorbar(im, ax=axs[5], shrink=0.7)\n", - "im = axs[6].imshow(ivim_fit.fitted_parameters['G1Ball_2_lambda_iso'] * 1e9, vmin=0., vmax=3)\n", + "im = axs[6].imshow(ivim_fit_dmipy.fitted_parameters['G1Ball_1_lambda_iso'] * 1e9, vmax=3, **args)\n", "fig.colorbar(im, ax=axs[6], shrink=0.7)\n", - "im = axs[7].imshow(ivimfit.D * 1e3, vmin=0., vmax=3)\n", + "im = axs[7].imshow(ivim_fit_dipy.D * 1e3, vmax=3, **args)\n", "fig.colorbar(im, ax=axs[7], shrink=0.7)" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Dmipy does not split the data, Dipy does.\n", - "\n", - "What is physically correct in IVIM?" - ] - }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 31, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -425,9 +268,16 @@ } ], "source": [ - "plt.plot(gtab.bvals, ivim_fit.predict()[10, 10])\n", + "plt.plot(gtab.bvals, ivim_fit_dmipy.predict()[10, 10])\n", "plt.scatter(gtab.bvals, data_slice[10, 10])" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -446,7 +296,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", - "version": "2.7.13" + "version": "2.7.15" } }, "nbformat": 4, From 5034f52d7d8afa8d3b0a51de57d91fa3fabeddcd Mon Sep 17 00:00:00 2001 From: Lucas Fidon Date: Fri, 2 Nov 2018 17:37:23 +0100 Subject: [PATCH 12/37] dividing x0 parameter inside brute2fine optimizer now --- dmipy/optimizers/brute2fine.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/dmipy/optimizers/brute2fine.py b/dmipy/optimizers/brute2fine.py index 22c2f578..a25a4751 100644 --- a/dmipy/optimizers/brute2fine.py +++ b/dmipy/optimizers/brute2fine.py @@ -278,6 +278,8 @@ def __call__(self, data, x0_vector): x_fine: array of size (Nparameters,), array of the optimized model parameters. """ + x0_bool = np.isnan(x0_vector) + x0_vector[~x0_bool] /= self.model.scales_for_optimization[~x0_bool] N_fractions = len(self.model.models) fit_args = (data,) bounds = self.model.bounds_for_optimization From 5717c0ddc003b4b023feae1aef9c366263eafa6f Mon Sep 17 00:00:00 2001 From: Lucas Fidon Date: Fri, 2 Nov 2018 17:37:53 +0100 Subject: [PATCH 13/37] small simplification --- dmipy/core/fitted_modeling_framework.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dmipy/core/fitted_modeling_framework.py b/dmipy/core/fitted_modeling_framework.py index 81e51910..4e5174d1 100644 --- a/dmipy/core/fitted_modeling_framework.py +++ b/dmipy/core/fitted_modeling_framework.py @@ -181,7 +181,7 @@ def predict(self, acquisition_scheme=None, S0=None, mask=None): if S0 is None: S0_mult = np.ones_like(self.S0) elif isinstance(S0, float): - S0_mult = 1. / self.S0 * S0 + S0_mult = S0 / self.S0 if mask is None: mask = self.mask From 63764b4f3f7d29455ec8ac6c2b39f4d1a63ab584 Mon Sep 17 00:00:00 2001 From: Lucas Fidon Date: Fri, 2 Nov 2018 17:38:30 +0100 Subject: [PATCH 14/37] improvement modeling framework --- dmipy/core/modeling_framework.py | 11 ++++------- 1 file changed, 4 insertions(+), 7 deletions(-) diff --git a/dmipy/core/modeling_framework.py b/dmipy/core/modeling_framework.py index 769b08b2..f695883f 100644 --- a/dmipy/core/modeling_framework.py +++ b/dmipy/core/modeling_framework.py @@ -867,9 +867,9 @@ def _add_S0_parameter(self, data, mask=None, optimize_S0=False): msg += "has no b0 measurements." raise ValueError(msg) - parameter_scale = S0.max() + parameter_scale = np.max(S0) S0_norm = S0 / parameter_scale - range_max = S0_norm * 1.1 + range_max = np.max(S0_norm) * 1.1 parameter_card = 1 parameter_flag = optimize_S0 @@ -1211,11 +1211,8 @@ def __call__(self, acquisition_scheme_or_vertices, ) if quantity == "signal": - values = kwargs['S0'] * ( - values + - partial_volume * model( - acquisition_scheme_or_vertices, **parameters) - ) + values += kwargs['S0'] * partial_volume * model( + acquisition_scheme_or_vertices, **parameters) elif quantity == "FOD": try: values = ( From 0959ae5dea8f62c8423aa7370a53fb51fe2b0766 Mon Sep 17 00:00:00 2001 From: Lucas Fidon Date: Sat, 3 Nov 2018 12:37:14 +0100 Subject: [PATCH 15/37] custom ivim optimizers --- .../intra_voxel_incoherent_motion.py | 195 ++++++++++++++++++ 1 file changed, 195 insertions(+) create mode 100644 dmipy/custom_optimizers/intra_voxel_incoherent_motion.py diff --git a/dmipy/custom_optimizers/intra_voxel_incoherent_motion.py b/dmipy/custom_optimizers/intra_voxel_incoherent_motion.py new file mode 100644 index 00000000..3b9bdbea --- /dev/null +++ b/dmipy/custom_optimizers/intra_voxel_incoherent_motion.py @@ -0,0 +1,195 @@ +from dmipy.signal_models.gaussian_models import G1Ball +from dmipy.core.modeling_framework import MultiCompartmentModel +from dmipy.core.acquisition_scheme import acquisition_scheme_from_bvalues +import numpy as np +from time import time + + +def ivim_2step(acquisition_scheme, data, mask=None, bvalue_threshold=4e8, + solver='brute2fine', optimize_S0=True, **fit_args): + """ + Dmipy implementation of the classic 2-compartment intra-voxel incoherent + motion (IVIM) model [1]_, following the 2-step optimization scheme. The + model consists of 2 Ball compartments (isotropic Gaussian), each fitting + the blood flow and diffusion volume fractions and diffusivities, + respectively. Changes in e.g. blood volume fraction has been linked to many + pathologies such as the vasculature in tumor tissue [2]_. + + Because the apparent diffusivity of blood flow is much higher than that of + Brownian motion, the optimization bounds for the diffusivities of the two + Balls are disjoint; the diffusivies of the diffusion compartment range + between [0.5 - 6]e-3 mm^2/s (results in more precise fit according to [3]), + and those of the blood compartment range between [6 - 20]e-3 mm^2/s + (following [4]). + + The 2-step optimization [5] hinges on the observation that the blood-flow + signal is negligible at b-values above 200-400 s/mm^2, but it does have + a constribution below that bvalue (and to the b0). + The optimization steps are as follows: + - step 1: fit only the "diffusion" part of the data using a single Ball + compartment, so the data is truncated to only include measurements + above the bvalue_threshold value. This step estimates the "diffusion" + S0 (which is lower or equal to the actual SO) and the "diffusion" + diffusivity of this compartment. + - step 2: fit the 2-compartment model to the whole signal, but fixing the + "diffusion" diffusivity to the value estimated in step 1. + + In the fitted ivim_fit model, partial_volume_0 and G1Ball_1_lambda_iso + represent the tissue fraction and diffusivity, and partial_volume_1 and + G1Ball_2_lambda_iso represent the blood fraction and diffusivity. + + Parameters + ---------- + acquisition_scheme: Dmipy AcquisitionScheme instance, + acquisition scheme containing all the information of the ivim + acquisition. + data: ND-array of shape (Nx, ..., N_DWI), + measured data corresponding to the acquisition scheme. + mask : (N-1)-dimensional integer/boolean array of size (N_x, N_y, ...), + Optional mask of voxels to be included in the optimization. + bvalue_threshold: float, + the bvalue threshold at which to separate the blood/diffusion parts of + the data. + Default: 400s/mm^2, but other works experiment with this value. + solver: float, + which solver to use for the algorithm. Default: 'brute2fine'. + optimize_S0: boolean, + whether or not to optimize (or just fix it to the mean of the b0-data) + the S0 value in the second optimization step. + fit_args: other keywords that are passed to the optimizer + + Returns + ------- + ivim_fit: Dmipy FittedMultiCompartmentModel instance, + contains the fitted IVIM parameters. + + References + ---------- + .. [1] Le Bihan, D., Breton, E., Lallemand, D., Aubin, M. L., Vignaud, J., + & Laval-Jeantet, M. (1988). Separation of diffusion and perfusion in + intravoxel incoherent motion MR imaging. Radiology, 168(2), 497-505. + .. [2] Le Bihan, D. (2017). What can we see with IVIM MRI?. NeuroImage. + .. [3] Gurney-Champion OJ, Froeling M, Klaassen R, Runge JH, Bel A, Van + Laarhoven HWM, et al. Minimizing the Acquisition Time for Intravoxel + Incoherent Motion Magnetic Resonance Imaging Acquisitions in the Liver + and Pancreas. Invest Radiol. 2016;51: 211–220. + .. [4] Park HJ, Sung YS, Lee SS, Lee Y, Cheong H, Kim YJ, et al. Intravoxel + incoherent motion diffusion-weighted MRI of the abdomen: The effect of + fitting algorithms on the accuracy and reliability of the parameters. + J Magn Reson Imaging. 2017;45: 1637–1647. + """ + start = time() + + if fit_args is None: + fit_args = {} + fit_args.update({'verbose': False, 'mask': mask, 'solver': solver}) + + bvalue_mask = acquisition_scheme.bvalues > bvalue_threshold + gaussian_acquisition_scheme = acquisition_scheme_from_bvalues( + bvalues=acquisition_scheme.bvalues[bvalue_mask], + gradient_directions=acquisition_scheme.gradient_directions[ + bvalue_mask]) + + gaussian_data = np.atleast_2d(data)[..., bvalue_mask] + + gaussian_mod = MultiCompartmentModel([G1Ball()]) + gaussian_mod.set_parameter_optimization_bounds( + 'G1Ball_1_lambda_iso', [0.5e-9, 6e-9]) # [3] + print('Starting step 1 of IVIM fitting algorithm.') + gaussian_fit = gaussian_mod.fit( + acquisition_scheme=gaussian_acquisition_scheme, + data=gaussian_data, + optimize_S0=True, + **fit_args) + + ivim_mod = MultiCompartmentModel([G1Ball(), G1Ball()]) + ivim_mod.set_parameter_optimization_bounds( + 'G1Ball_2_lambda_iso', [6e-9, 20e-9]) # [4] + ivim_mod.set_fixed_parameter( + parameter_name='G1Ball_1_lambda_iso', + value=gaussian_fit.fitted_parameters['G1Ball_1_lambda_iso']) + print('Starting step 2 of IVIM fitting algorithm.') + ivim_fit = ivim_mod.fit( + acquisition_scheme=acquisition_scheme, + data=data, + optimize_S0=optimize_S0, + **fit_args) + + computation_time = time() - start + N_voxels = np.sum(ivim_fit.mask) + msg = 'IVIM optimization of {0:d} voxels'.format(N_voxels) + msg += ' complete in {0:.3f} seconds'.format(computation_time) + print(msg) + return ivim_fit + + +def ivim_Dstar_fixed(acquisition_scheme, data, mask=None, Dstar_value=7e-9, + solver='brute2fine', optimize_S0=True, **fit_args): + """ + Implementation of second best performing IVIM algorithm following [1]_. + Basically, it is just a non-linear least squares fit with fixing the + blood diffusivity Dstar to 7e-3 mm^2/s. This value apparently improves the + stability of the fit (in healthy volunteers) [2]_. + + The optimization range for the tissue diffusivity is set to + [0.5 - 6]e-3 mm^2/s to improve precision [3]_. + + In the fitted ivim_fit model, partial_volume_0 and G1Ball_1_lambda_iso + represent the tissue fraction and diffusivity, and partial_volume_1 and + G1Ball_2_lambda_iso represent the blood fraction and diffusivity. + + Parameters + ---------- + acquisition_scheme: Dmipy AcquisitionScheme instance, + acquisition scheme containing all the information of the ivim + acquisition. + data: ND-array of shape (Nx, ..., N_DWI), + measured data corresponding to the acquisition scheme. + mask : (N-1)-dimensional integer/boolean array of size (N_x, N_y, ...), + Optional mask of voxels to be included in the optimization. + Dstar_value: float, + the fixed Dstar blood diffusivity value. Default: 7e-9 m^2/s [2]_. + solver: float, + which solver to use for the algorithm. Default: 'brute2fine'. + optimize_S0: boolean, + whether or not to optimize (or just fix it to the mean of the b0-data) + the S0 value in the second optimization step. + fit_args: other keywords that are passed to the optimizer + + Returns + ------- + ivim_fit: Dmipy FittedMultiCompartmentModel instance, + contains the fitted IVIM parameters. + + References + ---------- + .. [1] Gurney-Champion, O. J., Klaassen, R., Froeling, M., Barbieri, S., + Stoker, J., Engelbrecht, M. R., ... & Nederveen, A. J. (2018). + Comparison of six fit algorithms for the intra-voxel incoherent motion + model of diffusion-weighted magnetic resonance imaging data of + pancreatic cancer patients. PloS one, 13(4), e0194590. + .. [2] Gurney-Champion OJ, Froeling M, Klaassen R, Runge JH, Bel A, Van + Laarhoven HWM, et al. Minimizing the Acquisition Time for Intravoxel + Incoherent Motion Magnetic Resonance Imaging Acquisitions in the Liver + and Pancreas. Invest Radiol. 2016;51: 211–220. + .. [3] Park HJ, Sung YS, Lee SS, Lee Y, Cheong H, Kim YJ, et al. Intravoxel + incoherent motion diffusion-weighted MRI of the abdomen: The effect of + fitting algorithms on the accuracy and reliability of the parameters. + J Magn Reson Imaging. 2017;45: 1637–1647. + """ + if fit_args is None: + fit_args = {} + + ivim_mod = MultiCompartmentModel([G1Ball(), G1Ball()]) + ivim_mod.set_fixed_parameter( + 'G1Ball_2_lambda_iso', Dstar_value) # following [2] + ivim_mod.set_parameter_optimization_bounds( + 'G1Ball_2_lambda_iso', [.5e-9, 6e-9]) # following [3] + ivim_fit = ivim_mod.fit( + acquisition_scheme=acquisition_scheme, + data=data, + mask=mask, + solver=solver, + optimize_S0=optimize_S0, + **fit_args) + return ivim_fit \ No newline at end of file From 3c77f7b6ff14bad2e2e1a362a60213b2d909fa55 Mon Sep 17 00:00:00 2001 From: Lucas Fidon Date: Sat, 3 Nov 2018 12:38:42 +0100 Subject: [PATCH 16/37] fix for nonexistant S0 --- dmipy/core/modeling_framework.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/dmipy/core/modeling_framework.py b/dmipy/core/modeling_framework.py index f695883f..4200c899 100644 --- a/dmipy/core/modeling_framework.py +++ b/dmipy/core/modeling_framework.py @@ -1043,7 +1043,6 @@ def fit(self, acquisition_scheme, data, optimize_S0=False, data_, x0_) x0_bool = np.all( np.isnan(x0_), axis=tuple(np.arange(x0_.ndim - 1))) - # x0_[..., ~x0_bool] /= self.scales_for_optimization[~x0_bool] if use_parallel_processing and not have_pathos: msg = 'Cannot use parallel processing without pathos.' @@ -1178,6 +1177,11 @@ def __call__(self, acquisition_scheme_or_vertices, kwargs: keyword arguments to the model parameter values, Is internally given as **parameter_dictionary. """ + try: + S0 = kwargs['S0'] + except KeyError: + S0 = 1. + if quantity == "signal" or quantity == "FOD": values = 0 elif quantity == "stochastic cost function": From 380a4d0eecf72019427aa7c4a0f530d619258a7b Mon Sep 17 00:00:00 2001 From: Lucas Fidon Date: Sat, 3 Nov 2018 12:47:34 +0100 Subject: [PATCH 17/37] bugfix --- dmipy/core/modeling_framework.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/dmipy/core/modeling_framework.py b/dmipy/core/modeling_framework.py index 4200c899..f4d32d0e 100644 --- a/dmipy/core/modeling_framework.py +++ b/dmipy/core/modeling_framework.py @@ -1215,7 +1215,7 @@ def __call__(self, acquisition_scheme_or_vertices, ) if quantity == "signal": - values += kwargs['S0'] * partial_volume * model( + values += S0 * partial_volume * model( acquisition_scheme_or_vertices, **parameters) elif quantity == "FOD": try: @@ -1227,8 +1227,8 @@ def __call__(self, acquisition_scheme_or_vertices, except AttributeError: continue elif quantity == "stochastic cost function": - values[:, counter] = model(acquisition_scheme_or_vertices, - **parameters) + values[:, counter] = S0 * model(acquisition_scheme_or_vertices, + **parameters) counter += 1 return values From 0c8b23bee9497072fdf34060334ecac5ec7b8ea5 Mon Sep 17 00:00:00 2001 From: Lucas Fidon Date: Sun, 4 Nov 2018 16:09:48 +0100 Subject: [PATCH 18/37] update --- dmipy/core/modeling_framework.py | 5 ----- .../intra_voxel_incoherent_motion.py | 17 +++++++++++++---- dmipy/optimizers/mix.py | 3 +++ 3 files changed, 16 insertions(+), 9 deletions(-) diff --git a/dmipy/core/modeling_framework.py b/dmipy/core/modeling_framework.py index f4d32d0e..b788c64e 100644 --- a/dmipy/core/modeling_framework.py +++ b/dmipy/core/modeling_framework.py @@ -1041,8 +1041,6 @@ def fit(self, acquisition_scheme, data, optimize_S0=False, **self.x0_parameters) x0_ = homogenize_x0_to_data( data_, x0_) - x0_bool = np.all( - np.isnan(x0_), axis=tuple(np.arange(x0_.ndim - 1))) if use_parallel_processing and not have_pathos: msg = 'Cannot use parallel processing without pathos.' @@ -1414,9 +1412,6 @@ def fit(self, acquisition_scheme, data, **self.x0_parameters) x0_ = homogenize_x0_to_data( data_, x0_) - x0_bool = np.all( - np.isnan(x0_), axis=tuple(np.arange(x0_.ndim - 1))) - x0_[..., ~x0_bool] /= self.scales_for_optimization[~x0_bool] if use_parallel_processing and not have_pathos: msg = 'Cannot use parallel processing without pathos.' diff --git a/dmipy/custom_optimizers/intra_voxel_incoherent_motion.py b/dmipy/custom_optimizers/intra_voxel_incoherent_motion.py index 3b9bdbea..ef1ea3f3 100644 --- a/dmipy/custom_optimizers/intra_voxel_incoherent_motion.py +++ b/dmipy/custom_optimizers/intra_voxel_incoherent_motion.py @@ -95,7 +95,7 @@ def ivim_2step(acquisition_scheme, data, mask=None, bvalue_threshold=4e8, gaussian_mod = MultiCompartmentModel([G1Ball()]) gaussian_mod.set_parameter_optimization_bounds( 'G1Ball_1_lambda_iso', [0.5e-9, 6e-9]) # [3] - print('Starting step 1 of IVIM fitting algorithm.') + print('Starting step 1 of IVIM 2-step algorithm.') gaussian_fit = gaussian_mod.fit( acquisition_scheme=gaussian_acquisition_scheme, data=gaussian_data, @@ -108,7 +108,7 @@ def ivim_2step(acquisition_scheme, data, mask=None, bvalue_threshold=4e8, ivim_mod.set_fixed_parameter( parameter_name='G1Ball_1_lambda_iso', value=gaussian_fit.fitted_parameters['G1Ball_1_lambda_iso']) - print('Starting step 2 of IVIM fitting algorithm.') + print('Starting step 2 of IVIM 2-step algorithm.') ivim_fit = ivim_mod.fit( acquisition_scheme=acquisition_scheme, data=data, @@ -117,7 +117,7 @@ def ivim_2step(acquisition_scheme, data, mask=None, bvalue_threshold=4e8, computation_time = time() - start N_voxels = np.sum(ivim_fit.mask) - msg = 'IVIM optimization of {0:d} voxels'.format(N_voxels) + msg = 'IVIM 2-step optimization of {0:d} voxels'.format(N_voxels) msg += ' complete in {0:.3f} seconds'.format(computation_time) print(msg) return ivim_fit @@ -177,19 +177,28 @@ def ivim_Dstar_fixed(acquisition_scheme, data, mask=None, Dstar_value=7e-9, fitting algorithms on the accuracy and reliability of the parameters. J Magn Reson Imaging. 2017;45: 1637–1647. """ + start = time() + if fit_args is None: fit_args = {} + print('Starting IVIM Dstar-fixed algorithm.') ivim_mod = MultiCompartmentModel([G1Ball(), G1Ball()]) ivim_mod.set_fixed_parameter( 'G1Ball_2_lambda_iso', Dstar_value) # following [2] ivim_mod.set_parameter_optimization_bounds( - 'G1Ball_2_lambda_iso', [.5e-9, 6e-9]) # following [3] + 'G1Ball_1_lambda_iso', [.5e-9, 6e-9]) # following [3] ivim_fit = ivim_mod.fit( acquisition_scheme=acquisition_scheme, data=data, mask=mask, solver=solver, optimize_S0=optimize_S0, + verbose=False, **fit_args) + computation_time = time() - start + N_voxels = np.sum(ivim_fit.mask) + msg = 'IVIM Dstar-fixed optimization of {0:d} voxels'.format(N_voxels) + msg += ' complete in {0:.3f} seconds'.format(computation_time) + print(msg) return ivim_fit \ No newline at end of file diff --git a/dmipy/optimizers/mix.py b/dmipy/optimizers/mix.py index c66e36e7..81dd6177 100644 --- a/dmipy/optimizers/mix.py +++ b/dmipy/optimizers/mix.py @@ -76,6 +76,9 @@ def __call__(self, data, x0_vector=np.array([np.nan])): """ # if there is only one model then MIX only uses DE. + x0_bool = np.isnan(x0_vector) + x0_vector[~x0_bool] /= self.model.scales_for_optimization[~x0_bool] + bounds = list(self.model.bounds_for_optimization) if self.Nmodels == 1: bounds_de = bounds From 90d0c8ceaf4134e850cb6797daa8cc1036ad663e Mon Sep 17 00:00:00 2001 From: Lucas Fidon Date: Sun, 4 Nov 2018 23:26:36 +0100 Subject: [PATCH 19/37] working brute optimizer with S0 --- dmipy/core/fitted_modeling_framework.py | 2 +- dmipy/core/modeling_framework.py | 4 ++-- dmipy/optimizers/brute2fine.py | 15 +++++++-------- 3 files changed, 10 insertions(+), 11 deletions(-) diff --git a/dmipy/core/fitted_modeling_framework.py b/dmipy/core/fitted_modeling_framework.py index 4e5174d1..f692c021 100644 --- a/dmipy/core/fitted_modeling_framework.py +++ b/dmipy/core/fitted_modeling_framework.py @@ -39,7 +39,7 @@ def __init__(self, model, mask, fitted_parameters_vector): self.model = model self.mask = mask self.fitted_parameters_vector = fitted_parameters_vector - self.S0 = self.fitted_parameters_vector[..., 0] + self.S0 = self.fitted_and_linked_parameters['S0'] @property def fitted_parameters(self): diff --git a/dmipy/core/modeling_framework.py b/dmipy/core/modeling_framework.py index b788c64e..f5a1f409 100644 --- a/dmipy/core/modeling_framework.py +++ b/dmipy/core/modeling_framework.py @@ -1082,7 +1082,7 @@ def fit(self, acquisition_scheme, data, optimize_S0=False, voxel_x0_vector = x0_[pos] if solver == 'brute2fine': if global_brute.global_optimization_grid is True: - voxel_x0_vector = global_brute(voxel_E) + voxel_x0_vector = global_brute(voxel_E, voxel_x0_vector[0]) fit_args = (voxel_E, voxel_x0_vector) if use_parallel_processing: fitted_parameters_lin[idx] = pool.apipe(fit_func, *fit_args) @@ -1462,7 +1462,7 @@ def fit(self, acquisition_scheme, data, voxel_x0_vector = x0_[pos] if solver == 'brute2fine': if global_brute.global_optimization_grid is True: - voxel_x0_vector = global_brute(voxel_E) + voxel_x0_vector = global_brute(voxel_E, voxel_x0_vector[0]) fit_args = (voxel_E, voxel_x0_vector) if use_parallel_processing: diff --git a/dmipy/optimizers/brute2fine.py b/dmipy/optimizers/brute2fine.py index a25a4751..eee02a66 100644 --- a/dmipy/optimizers/brute2fine.py +++ b/dmipy/optimizers/brute2fine.py @@ -58,18 +58,19 @@ def __init__(self, model, acquisition_scheme, x0_vector=None, Ns=5, N_sphere_samples=30): self.model = model self.acquisition_scheme = acquisition_scheme - self.x0_vector = x0_vector + self.x0_vector = x0_vector[..., 1:] # currently hardcoded no S0 self.Ns = Ns if x0_vector is None: self.global_optimization_grid = True x0_vector = np.tile(np.nan, len(model.bounds_for_optimization)) self.precompute_signal_grid(model, x0_vector, Ns, N_sphere_samples) - elif x0_vector.squeeze().ndim == 1: + elif self.x0_vector.squeeze().ndim == 1: self.global_optimization_grid = True self.precompute_signal_grid( - model, x0_vector.squeeze(), Ns, N_sphere_samples) - elif np.all(np.isnan(x0_vector.reshape([-1, x0_vector.shape[-1]])[0])): + model, self.x0_vector.squeeze(), Ns, N_sphere_samples) + elif np.all(np.isnan( + self.x0_vector.reshape([-1, self.x0_vector.shape[-1]])[0])): x0_vector_ = np.tile(np.nan, len(model.bounds_for_optimization)) self.global_optimization_grid = True self.precompute_signal_grid( @@ -167,7 +168,7 @@ def precompute_signal_grid(self, model, x0_vector, Ns, N_sphere_samples): self.signal_grid = model.simulate_signal( self.acquisition_scheme, self.parameter_grid) - def __call__(self, data, parameter_scale_normalization=True): + def __call__(self, data, S0): """ Calculates the closest parameter combination based on the sum-squared distances between the measured data and the simulated signal grid. @@ -186,10 +187,8 @@ def __call__(self, data, parameter_scale_normalization=True): estimated closest model parameters in the parameter grid. """ if self.global_optimization_grid is True: - argmin = find_minimum_argument(self.signal_grid, data) + argmin = find_minimum_argument(S0 * self.signal_grid, data) parameters_brute = self.parameter_grid[argmin] - if parameter_scale_normalization: - return parameters_brute / self.model.scales_for_optimization return parameters_brute else: msg = "Global Parameter Grid could not be set because parameter " From 1e4cf51057be3d6a8ce75e4b63cca63d872ed66d Mon Sep 17 00:00:00 2001 From: Lucas Fidon Date: Sun, 4 Nov 2018 23:27:11 +0100 Subject: [PATCH 20/37] nearly finished example --- examples/example_ivim.ipynb | 494 ++++++++++++++++++++++++++---------- 1 file changed, 361 insertions(+), 133 deletions(-) diff --git a/examples/example_ivim.ipynb b/examples/example_ivim.ipynb index d0112b5f..66a82d42 100644 --- a/examples/example_ivim.ipynb +++ b/examples/example_ivim.ipynb @@ -8,203 +8,329 @@ ] }, { - "cell_type": "code", - "execution_count": 1, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "import matplotlib.pyplot as plt\n", - "from dipy.reconst.ivim import IvimModel\n", - "from dipy.data.fetcher import read_ivim" + "Intra-voxel incoherent motion (IVIM) is a 2-compartment model that separates diffusion signal contributions originating from blood flow and Brownian diffusion *(Le Bihan et al. 1988)*. The model consists of 2 Ball compartments (isotropic Gaussian), each fitting the blood flow and diffusion volume fractions and diffusivities, respectively. Changes in e.g. blood volume fraction has been linked to many pathologies such as the vasculature in tumor tissue *(Le Bihan 2018)*.\n", + "\n", + "\\begin{align}\n", + " E_{\\textrm{IVIM}}= \\underbrace{f_{\\textrm{blood}}\\overbrace{E_{\\textrm{iso}}(\\lambda_{\\textrm{Blood}})}^{\\textrm{Ball}}}_{\\textrm{Blood}} + \\underbrace{f_{\\textrm{Diffusion}}\\overbrace{E_{\\textrm{iso}}(\\cdot|\\lambda_{\\textrm{Diffusion}})}^{\\textrm{Ball}}}_{\\textrm{Diffusion}}\n", + "\\end{align}\n", + "\n", + "Because the apparent diffusivity of blood flow is much higher than that of Brownian motion, the optimization bounds for the diffusivities of the two Balls are disjoint; the diffusivies of the diffusion compartment range\n", + "between [0.5 - 6]e-3 $mm^2/s$ (results in more precise fit according to *(Gurney-Champion et al. 2016)*), and those of the blood compartment range between [6 - 20]e-3 $mm^2/s$ (following *(Park et al. 2017)*). \n", + "\n", + "The separability of blood and diffusion signal hinges on the observation that the blood-flow signal is negligible at b-values above 200-400 s/mm^2, but it does have a constribution below that bvalue (and to the b0).\n", + " \n", + "Many different optimization strategies have been proposed to fit the IVIM model *(Wong et al. 2018, Gurney-Champion et al. 2018)*, of which in this example we will use Dmipy to implement and fit two:\n", + "- Following *(Wong et al. 2018)*, a two-step optimization based on the approach that first fits the 'diffusion' diffusivity by fitting a single Ball compartment to the signal where all b-values below b=400$s/mm^2$ have been truncated. Fixing this initial diffusivity, the 2-compartment model is then fitted to the whole signal.\n", + "- Following *(Gurney-Champion et al. 2018)*, they found simply fixing $\\lambda_{blood}=7e-9 mm^2/s$ results in the second-best IVIM fitting performance (after fancy Bayesian fitting).\n", + "\n", + "We compare our implemented IVIM algorithms with the one available in Dipy, and evaluate/compare the fitted parameter maps and fitting errors." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Implementing 2-step IVIM using Dmipy\n", + "The 2-step fitting approach used in e.g. *(Wong et al. 2018)* consists of two steps:\n", + "- step 1: fit only the \"diffusion\" part of the data using a single Ball compartment, so the data is truncated to only include measurements above the bvalue_threshold value. This step estimates the \"diffusion\" S0 (which is lower or equal to the actual SO) and the \"diffusion\" diffusivity of this compartment.\n", + "- step 2: fit the 2-compartment model to the whole signal, but fixing the \"diffusion\" diffusivity to the value estimated in step 1.\n", + "\n", + "We'll use the same example dataset and acquisition scheme that Dipy uses as well:\n", + "\n", + "### Load IVIM acquisition scheme and data" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Dataset is already in place. If you want to fetch it again please first remove the folder /home/lucas/.dipy/ivim \n" + "Dataset is already in place. If you want to fetch it again please first remove the folder /home/lucas/.dipy/ivim \n", + "Acquisition scheme summary\n", + "\n", + "total number of measurements: 21\n", + "number of b0 measurements: 1\n", + "number of DWI shells: 20\n", + "\n", + "shell_index |# of DWIs |bvalue [s/mm^2] |gradient strength [mT/m] |delta [ms] |Delta[ms] |TE[ms]\n", + "0 |1 |0 |N/A |N/A |N/A |N/A \n", + "1 |1 |10 |N/A |N/A |N/A |N/A \n", + "2 |1 |20 |N/A |N/A |N/A |N/A \n", + "3 |1 |30 |N/A |N/A |N/A |N/A \n", + "4 |1 |40 |N/A |N/A |N/A |N/A \n", + "5 |1 |60 |N/A |N/A |N/A |N/A \n", + "6 |1 |80 |N/A |N/A |N/A |N/A \n", + "7 |1 |100 |N/A |N/A |N/A |N/A \n", + "8 |1 |120 |N/A |N/A |N/A |N/A \n", + "9 |1 |140 |N/A |N/A |N/A |N/A \n", + "10 |1 |160 |N/A |N/A |N/A |N/A \n", + "11 |1 |180 |N/A |N/A |N/A |N/A \n", + "12 |1 |200 |N/A |N/A |N/A |N/A \n", + "13 |1 |300 |N/A |N/A |N/A |N/A \n", + "14 |1 |400 |N/A |N/A |N/A |N/A \n", + "15 |1 |500 |N/A |N/A |N/A |N/A \n", + "16 |1 |600 |N/A |N/A |N/A |N/A \n", + "17 |1 |700 |N/A |N/A |N/A |N/A \n", + "18 |1 |800 |N/A |N/A |N/A |N/A \n", + "19 |1 |900 |N/A |N/A |N/A |N/A \n", + "20 |1 |1000 |N/A |N/A |N/A |N/A \n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/lucas/anaconda2/lib/python2.7/site-packages/dmipy-0.1.dev0-py2.7.egg/dmipy/core/acquisition_scheme.py:852: UserWarning: pulse_separation (big_delta) or pulse_duration (small_delta) are not defined in the Dipy gtab. This means the resulting DmipyAcquisitionScheme cannot be used with CompartmentModels that need these.\n" ] } ], "source": [ - "img, gtab = read_ivim()" + "from dipy.data.fetcher import read_ivim\n", + "from dmipy.core.acquisition_scheme import gtab_dipy2dmipy, acquisition_scheme_from_bvalues\n", + "img, gtab = read_ivim()\n", + "scheme_ivim = gtab_dipy2dmipy(gtab, b0_threshold=1e6, min_b_shell_distance=1e6)\n", + "scheme_ivim.print_acquisition_info\n", + "\n", + "data = img.get_data()\n", + "data_slice = data[90: 155, 90: 170, 33, :]\n", + "test_voxel = data_slice[0, 0]" ] }, { - "cell_type": "code", - "execution_count": 3, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "gtab.big_delta" + "### Step 1: Fit only Diffusion model using higher b-value data" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "metadata": {}, "outputs": [ { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "data.shape (256, 256, 54, 21)\n" + "/home/lucas/anaconda2/lib/python2.7/site-packages/dmipy-0.1.dev0-py2.7.egg/dmipy/core/acquisition_scheme.py:171: UserWarning: No b0 measurements were detected. Check if the b0_threshold option is high enough, or if there is a mistake in the acquisition design.\n" ] } ], "source": [ - "data = img.get_data()\n", - "print('data.shape (%d, %d, %d, %d)' % data.shape)\n", - "z = 33\n", - "x1, x2 = 90, 155\n", - "y1, y2 = 90, 170\n", - "data_slice = data[x1:x2, y1:y2, z, :]" + "bvalue_threshold = 4e8\n", + "bvalue_mask = scheme_ivim.bvalues > bvalue_threshold\n", + "gaussian_acquisition_scheme = acquisition_scheme_from_bvalues(\n", + " bvalues=scheme_ivim.bvalues[bvalue_mask],\n", + " gradient_directions=scheme_ivim.gradient_directions[\n", + " bvalue_mask])\n", + "gaussian_data = test_voxel[bvalue_mask]" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "/home/lucas/anaconda2/lib/python2.7/site-packages/dipy-0.14.0-py2.7-linux-x86_64.egg/dipy/reconst/ivim.py:404: UserWarning: x0 obtained from linear fitting is not feasibile as initial guess for leastsq while estimating f and D_star. Using parameters from the linear fit.\n", - " warnings.warn(warningMsg, UserWarning)\n", - "/home/lucas/anaconda2/lib/python2.7/site-packages/dipy-0.14.0-py2.7-linux-x86_64.egg/dipy/reconst/ivim.py:498: UserWarning: x0 is unfeasible for leastsq fitting. Returning x0 values from the linear fit.\n", - " warnings.warn(warningMsg, UserWarning)\n", - "/home/lucas/anaconda2/lib/python2.7/site-packages/dipy-0.14.0-py2.7-linux-x86_64.egg/dipy/reconst/ivim.py:293: UserWarning: Bounds are violated for leastsq fitting. Returning parameters from linear fit\n", - " warnings.warn(warningMsg, UserWarning)\n" + "Using parallel processing with 8 workers.\n", + "Setup brute2fine optimizer in 0.00380110740662 seconds\n", + "Fitting of 1 voxels complete in 0.430498123169 seconds.\n", + "Average of 0.430498123169 seconds per voxel.\n" ] } ], "source": [ - "ivimmodel = IvimModel(gtab)\n", - "ivim_fit_dipy = ivimmodel.fit(data_slice)" + "from dmipy.signal_models.gaussian_models import G1Ball\n", + "from dmipy.core.modeling_framework import MultiCompartmentModel\n", + "gaussian_mod = MultiCompartmentModel([G1Ball()])\n", + "gaussian_mod.set_parameter_optimization_bounds(\n", + " 'G1Ball_1_lambda_iso', [0.5e-9, 6e-9]) # [3]\n", + "gaussian_fit = gaussian_mod.fit(\n", + " acquisition_scheme=gaussian_acquisition_scheme,\n", + " data=gaussian_data,\n", + " optimize_S0=True)" ] }, { - "cell_type": "code", - "execution_count": 6, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "from dmipy.signal_models import gaussian_models\n", - "from dmipy.core.modeling_framework import MultiCompartmentModel\n", - "from dmipy.core.acquisition_scheme import gtab_dipy2dmipy, acquisition_scheme_from_bvalues" + "### Step 2: Fit whole signal with 2-compartment IVIM model (D fixed from step 1)" ] }, { "cell_type": "code", - "execution_count": 7, - "metadata": { - "scrolled": true - }, + "execution_count": 4, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Acquisition scheme summary\n", - "\n", - "total number of measurements: 21\n", - "number of b0 measurements: 1\n", - "number of DWI shells: 20\n", - "\n", - "shell_index |# of DWIs |bvalue [s/mm^2] |gradient strength [mT/m] |delta [ms] |Delta[ms] |TE[ms]\n", - "0 |1 |0 |N/A |N/A |N/A |N/A \n", - "1 |1 |10 |N/A |N/A |N/A |N/A \n", - "2 |1 |20 |N/A |N/A |N/A |N/A \n", - "3 |1 |30 |N/A |N/A |N/A |N/A \n", - "4 |1 |40 |N/A |N/A |N/A |N/A \n", - "5 |1 |60 |N/A |N/A |N/A |N/A \n", - "6 |1 |80 |N/A |N/A |N/A |N/A \n", - "7 |1 |100 |N/A |N/A |N/A |N/A \n", - "8 |1 |120 |N/A |N/A |N/A |N/A \n", - "9 |1 |140 |N/A |N/A |N/A |N/A \n", - "10 |1 |160 |N/A |N/A |N/A |N/A \n", - "11 |1 |180 |N/A |N/A |N/A |N/A \n", - "12 |1 |200 |N/A |N/A |N/A |N/A \n", - "13 |1 |300 |N/A |N/A |N/A |N/A \n", - "14 |1 |400 |N/A |N/A |N/A |N/A \n", - "15 |1 |500 |N/A |N/A |N/A |N/A \n", - "16 |1 |600 |N/A |N/A |N/A |N/A \n", - "17 |1 |700 |N/A |N/A |N/A |N/A \n", - "18 |1 |800 |N/A |N/A |N/A |N/A \n", - "19 |1 |900 |N/A |N/A |N/A |N/A \n", - "20 |1 |1000 |N/A |N/A |N/A |N/A \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/lucas/anaconda2/lib/python2.7/site-packages/dmipy-0.1.dev0-py2.7.egg/dmipy/core/acquisition_scheme.py:852: UserWarning: pulse_separation (big_delta) or pulse_duration (small_delta) are not defined in the Dipy gtab. This means the resulting DmipyAcquisitionScheme cannot be used with CompartmentModels that need these.\n" + "Using parallel processing with 8 workers.\n", + "Setup brute2fine optimizer in 0.0126860141754 seconds\n", + "Fitting of 1 voxels complete in 0.221951007843 seconds.\n", + "Average of 0.221951007843 seconds per voxel.\n" ] } ], "source": [ - "scheme_ivim = gtab_dipy2dmipy(gtab, b0_threshold=1e6, min_b_shell_distance=1e6)\n", - "scheme_ivim.print_acquisition_info" + "ivim_mod = MultiCompartmentModel([G1Ball(), G1Ball()])\n", + "ivim_mod.set_parameter_optimization_bounds(\n", + " 'G1Ball_2_lambda_iso', [6e-9, 20e-9]) # [4]\n", + "ivim_mod.set_fixed_parameter(\n", + " parameter_name='G1Ball_1_lambda_iso',\n", + " value=gaussian_fit.fitted_parameters['G1Ball_1_lambda_iso'])\n", + "ivim_fit_2step = ivim_mod.fit(\n", + " acquisition_scheme=scheme_ivim,\n", + " data=test_voxel,\n", + " optimize_S0=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Implementing Fixed Dstar IVIM using Dmipy" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ - "from dmipy.custom_optimizers import intra_voxel_incoherent_motion" + "ivim_mod = MultiCompartmentModel([G1Ball(), G1Ball()])\n", + "ivim_mod.set_fixed_parameter(\n", + " 'G1Ball_2_lambda_iso', 7e-9) # following [2]\n", + "ivim_mod.set_parameter_optimization_bounds(\n", + " 'G1Ball_1_lambda_iso', [.5e-9, 6e-9]) # following [3]\n", + "ivim_fit_Dfixed = ivim_mod.fit(\n", + " acquisition_scheme=scheme_ivim,\n", + " data=test_voxel,\n", + " verbose=False)" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "from dipy.reconst.ivim import IvimModel\n", + "ivimmodel = IvimModel(gtab)\n", + "ivim_fit_dipy = ivimmodel.fit(test_voxel)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n", + "\n", + "fig, axs = plt.subplots(ncols=3, figsize=[10, 4], sharey=True)\n", + "fig.suptitle('Test signal fit comparisons IVIM algorithms', fontsize=15)\n", + "axs[0].set_ylabel('Signal Intensity')\n", + "axs[0].set_xlabel('b-value [s/m^2]')\n", + "axs[1].set_xlabel('b-value [s/m^2]')\n", + "axs[2].set_xlabel('b-value [s/m^2]')\n", + "\n", + "axs[0].scatter(scheme_ivim.bvalues, test_voxel, label='Measured DWIs')\n", + "axs[0].plot(scheme_ivim.bvalues, gaussian_fit.predict(scheme_ivim)[0], label='Step 1 Fit')\n", + "axs[0].plot(scheme_ivim.bvalues, ivim_fit_2step.predict()[0], label='Step 2 Fit')\n", + "axs[1].scatter(scheme_ivim.bvalues, test_voxel, label='Measured DWIs')\n", + "axs[1].plot(scheme_ivim.bvalues, ivim_fit_Dfixed.predict()[0], label='Dstar Fixed Fit')\n", + "axs[2].scatter(scheme_ivim.bvalues, test_voxel, label='Measured DWIs')\n", + "axs[2].plot(scheme_ivim.bvalues, ivim_fit_dipy.predict(gtab), label='Dipy IVIM reference')\n", + "for ax in axs:\n", + " ax.legend()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Parameter map comparison IVIM 2-step, Dstar_fixed, and Dipy reference" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In practice we can just load the IVIM implementations above directly as follows:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Starting step 1 of IVIM fitting algorithm.\n", + "Starting step 1 of IVIM 2-step algorithm.\n", + "Starting step 2 of IVIM 2-step algorithm.\n", "Cannot estimate signal grid with voxel-dependent x0_vector.\n", - "Starting step 2 of IVIM fitting algorithm.\n", - "Cannot estimate signal grid with voxel-dependent x0_vector.\n", - "IVIM optimization of 5200 voxels complete in 129.643 seconds\n" + "IVIM 2-step optimization of 5200 voxels complete in 106.958 seconds\n", + "Starting IVIM Dstar-fixed algorithm.\n", + "IVIM Dstar-fixed optimization of 5200 voxels complete in 57.999 seconds\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/lucas/anaconda2/lib/python2.7/site-packages/dipy-0.14.0-py2.7-linux-x86_64.egg/dipy/reconst/ivim.py:404: UserWarning: x0 obtained from linear fitting is not feasibile as initial guess for leastsq while estimating f and D_star. Using parameters from the linear fit.\n", + " warnings.warn(warningMsg, UserWarning)\n", + "/home/lucas/anaconda2/lib/python2.7/site-packages/dipy-0.14.0-py2.7-linux-x86_64.egg/dipy/reconst/ivim.py:498: UserWarning: x0 is unfeasible for leastsq fitting. Returning x0 values from the linear fit.\n", + " warnings.warn(warningMsg, UserWarning)\n", + "/home/lucas/anaconda2/lib/python2.7/site-packages/dipy-0.14.0-py2.7-linux-x86_64.egg/dipy/reconst/ivim.py:293: UserWarning: Bounds are violated for leastsq fitting. Returning parameters from linear fit\n", + " warnings.warn(warningMsg, UserWarning)\n" ] } ], "source": [ - "ivim_fit_dmipy = intra_voxel_incoherent_motion.intra_voxel_incoherent_motion(\n", - " scheme_ivim, data_slice, Ns=10)" + "from dmipy.custom_optimizers.intra_voxel_incoherent_motion import ivim_2step, ivim_Dstar_fixed\n", + "ivim_fit_dmipy_2step = ivim_2step(scheme_ivim, data_slice)\n", + "ivim_fit_dmipy_fixed = ivim_Dstar_fixed(scheme_ivim, data_slice)\n", + "ivim_fit_dipy = ivimmodel.fit(data_slice)" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 9, "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", "text/plain": [ - "" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -212,55 +338,66 @@ } ], "source": [ - "fig, axs = plt.subplots(nrows=4, ncols=2, figsize=[12, 15])\n", - "fig.suptitle('IVIM Comparison Dmipy vs Dipy', fontsize=25, y=0.93)\n", + "import numpy as np\n", + "fig, axs = plt.subplots(nrows=4, ncols=3, figsize=[15, 16])\n", + "fig.suptitle('IVIM Parameter Map Comparison', fontsize=25, y=0.93)\n", "axs = axs.ravel()\n", - "axs[0].set_title('Dmipy', fontsize=18)\n", - "axs[1].set_title('Dipy', fontsize=18)\n", + "axs[0].set_title('Dmipy 2-Step', fontsize=18)\n", + "axs[1].set_title('Dmipy Dstar-Fixed', fontsize=18)\n", + "axs[2].set_title('Dipy', fontsize=18)\n", "axs[0].set_ylabel('S0-Predicted', fontsize=15)\n", - "axs[2].set_ylabel('perfusion fraction', fontsize=15)\n", - "axs[4].set_ylabel('D_star (perfusion)', fontsize=15)\n", - "axs[6].set_ylabel('D (diffusion)', fontsize=15)\n", + "axs[3].set_ylabel('perfusion fraction', fontsize=15)\n", + "axs[6].set_ylabel('D_star (perfusion)', fontsize=15)\n", + "axs[9].set_ylabel('D (diffusion)', fontsize=15)\n", "\n", "args = {'vmin': 0., 'interpolation': 'nearest'}\n", - "im = axs[0].imshow(ivim_fit_dmipy.S0, **args)\n", - "fig.colorbar(im, ax=axs[0], shrink=0.7)\n", - "im = axs[1].imshow(ivim_fit_dipy.S0_predicted, **args)\n", - "fig.colorbar(im, ax=axs[1], shrink=0.7)\n", - "im = axs[2].imshow(ivim_fit_dmipy.fitted_parameters['partial_volume_1'], vmax=1., **args)\n", - "fig.colorbar(im, ax=axs[2], shrink=0.7)\n", - "im = axs[3].imshow(ivim_fit_dipy.perfusion_fraction, vmax=1., **args)\n", - "fig.colorbar(im, ax=axs[3], shrink=0.7)\n", - "im = axs[4].imshow(ivim_fit_dmipy.fitted_parameters['G1Ball_2_lambda_iso'] * 1e9, vmax=20, **args)\n", - "fig.colorbar(im, ax=axs[4], shrink=0.7)\n", - "im = axs[5].imshow(ivim_fit_dipy.D_star * 1e3, vmax=20, **args)\n", - "fig.colorbar(im, ax=axs[5], shrink=0.7)\n", - "im = axs[6].imshow(ivim_fit_dmipy.fitted_parameters['G1Ball_1_lambda_iso'] * 1e9, vmax=3, **args)\n", - "fig.colorbar(im, ax=axs[6], shrink=0.7)\n", - "im = axs[7].imshow(ivim_fit_dipy.D * 1e3, vmax=3, **args)\n", - "fig.colorbar(im, ax=axs[7], shrink=0.7)" + "im0 = axs[0].imshow(ivim_fit_dmipy_2step.S0, **args)\n", + "im1 = axs[1].imshow(ivim_fit_dmipy_fixed.S0, **args)\n", + "im2 = axs[2].imshow(ivim_fit_dipy.S0_predicted, **args)\n", + "im3 = axs[3].imshow(ivim_fit_dmipy_2step.fitted_parameters['partial_volume_1'], vmax=1., **args)\n", + "im4 = axs[4].imshow(ivim_fit_dmipy_fixed.fitted_parameters['partial_volume_1'], vmax=1., **args)\n", + "im5 = axs[5].imshow(ivim_fit_dipy.perfusion_fraction, vmax=1., **args)\n", + "im6 = axs[6].imshow(ivim_fit_dmipy_2step.fitted_parameters['G1Ball_2_lambda_iso'] * 1e9, vmax=20, **args)\n", + "im7 = axs[7].imshow(np.ones_like(ivim_fit_dmipy_2step.S0) * \n", + " ivim_fit_dmipy_fixed.fitted_and_linked_parameters['G1Ball_2_lambda_iso'] * 1e9, vmax=20, **args)\n", + "axs[7].text(10, 10, 'Fixed to 7e-9 mm^2/s', fontsize=14, color='white')\n", + "im8 = axs[8].imshow(ivim_fit_dipy.D_star * 1e3, vmax=20, **args)\n", + "im9 = axs[9].imshow(ivim_fit_dmipy_2step.fitted_parameters['G1Ball_1_lambda_iso'] * 1e9, vmax=3, **args)\n", + "im10 = axs[10].imshow(ivim_fit_dmipy_fixed.fitted_parameters['G1Ball_1_lambda_iso'] * 1e9, vmax=3, **args)\n", + "im11 = axs[11].imshow(ivim_fit_dipy.D * 1e3, vmax=3, **args)\n", + "\n", + "for im, ax in zip([im0, im1, im2, im3, im4, im5, im6, im7, im8, im9, im10, im11], axs):\n", + " fig.colorbar(im, ax=ax, shrink=0.7)" ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 10, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/lucas/.local/lib/python2.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" + ] + }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 16, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -268,16 +405,107 @@ } ], "source": [ - "plt.plot(gtab.bvals, ivim_fit_dmipy.predict()[10, 10])\n", - "plt.scatter(gtab.bvals, data_slice[10, 10])" + "import seaborn as sns\n", + "fig, axs = plt.subplots(2, 2, figsize=[10, 9])\n", + "fig.suptitle('Comparison Parameter Histograms', fontsize=20)\n", + "axs = axs.ravel()\n", + "sns.distplot(ivim_fit_dmipy_2step.S0.ravel(), ax=axs[0], label='Dmipy 2-step')\n", + "sns.distplot(ivim_fit_dmipy_fixed.S0.ravel(), ax=axs[0], label='Dmipy Dstar-Fixed')\n", + "sns.distplot(ivim_fit_dipy.S0_predicted.ravel(), ax=axs[0], label='Dipy Reference')\n", + "axs[0].set_title('S0')\n", + "\n", + "sns.distplot(ivim_fit_dmipy_2step.fitted_parameters['partial_volume_1'].ravel(), ax=axs[1], label='Dmipy 2-step')\n", + "sns.distplot(ivim_fit_dmipy_fixed.fitted_parameters['partial_volume_1'].ravel(), ax=axs[1], label='Dmipy Dstar-Fixed')\n", + "sns.distplot(ivim_fit_dipy.perfusion_fraction.ravel(), ax=axs[1], label='Dipy Reference')\n", + "axs[1].set_title('Perfusion Fraction')\n", + "\n", + "sns.distplot(ivim_fit_dmipy_2step.fitted_parameters['G1Ball_2_lambda_iso'].ravel() * 1e9, ax=axs[2], label='Dmipy 2-step')\n", + "axs[2].axvline(x=7, label='Dmipy Dstar-Fixed')\n", + "sns.distplot(ivim_fit_dipy.D_star.ravel() * 1e3, ax=axs[2], label='Dipy Reference')\n", + "axs[2].set_ylim(0, 0.005)\n", + "axs[2].set_title('D_star (perfusion)')\n", + "\n", + "sns.distplot(ivim_fit_dmipy_2step.fitted_parameters['G1Ball_1_lambda_iso'].ravel() * 1e9, ax=axs[3], label='Dmipy 2-step')\n", + "sns.distplot(ivim_fit_dmipy_fixed.fitted_parameters['G1Ball_1_lambda_iso'].ravel() * 1e9, ax=axs[3], label='Dmipy Dstar-Fixed')\n", + "sns.distplot(ivim_fit_dipy.D.ravel() * 1e3, ax=axs[3], label='Dipy Reference')\n", + "axs[3].set_title('D (diffusion)')\n", + "\n", + "axs[0].legend()\n", + "axs[1].legend()\n", + "axs[2].legend()\n", + "axs[3].legend()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Fitting error comparison" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "mse_2step = ivim_fit_dmipy_2step.mean_squared_error(data_slice)\n", + "mse_Dstar_fixed = ivim_fit_dmipy_fixed.mean_squared_error(data_slice)\n", + "mse_dipy = np.mean(\n", + " (ivim_fit_dipy.predict(gtab) / ivim_fit_dipy.S0_predicted[..., None] - \n", + " data_slice / ivim_fit_dipy.S0_predicted[..., None]) ** 2, axis=-1)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plt.subplots(nrows=2, ncols=2, figsize=[10, 8])\n", + "fig.suptitle('IVIM fitting error comparison', fontsize=20)\n", + "axs = axs.ravel()\n", + "im0 = axs[0].imshow(mse_2step, vmax=0.08)\n", + "im1 = axs[1].imshow(mse_Dstar_fixed, vmax=0.08)\n", + "im2 = axs[2].imshow(mse_dipy, vmax=0.08)\n", + "\n", + "axs[0].set_title('Dmipy IVIM 2-step')\n", + "axs[1].set_title('Dmipy IVIM Dstar-Fixed')\n", + "axs[2].set_title('Dipy IVIM reference')\n", + "\n", + "for im, ax in zip([im0, im1, im2], axs):\n", + " fig.colorbar(im, ax=ax, shrink=0.7)\n", + "\n", + "axs[3].boxplot(\n", + " x=[mse_2step.ravel(), mse_Dstar_fixed.ravel(), mse_dipy.ravel()],\n", + " labels=['Dmipy 2-step', 'Dmipy D-fixed', 'Dipy reference']);\n", + "axs[3].set_ylabel('Mean Squared Error')\n", + "axs[3].set_title('Fitting Error Boxplots', fontsize=13);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### References\n", + "- Le Bihan, D., Breton, E., Lallemand, D., Aubin, M. L., Vignaud, J., & Laval-Jeantet, M. (1988). Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology, 168(2), 497-505.\n", + "- Le Bihan, D. (2017). What can we see with IVIM MRI?. NeuroImage\n", + "- Gurney-Champion OJ, Froeling M, Klaassen R, Runge JH, Bel A, Van Laarhoven HWM, et al. Minimizing the Acquisition Time for Intravoxel Incoherent Motion Magnetic Resonance Imaging Acquisitions in the Liver and Pancreas. Invest Radiol. 2016;51: 211–220.\n", + "- Park HJ, Sung YS, Lee SS, Lee Y, Cheong H, Kim YJ, et al. Intravoxel incoherent motion diffusion-weighted MRI of the abdomen: The effect of fitting algorithms on the accuracy and reliability of the parameters. J Magn Reson Imaging. 2017;45: 1637–1647.\n", + "- Wong, S. M., Backes, W. H., Zhang, C. E., Staals, J., van Oostenbrugge, R. J., Jeukens, C. R. L. P. N., & Jansen, J. F. A. (2018). On the Reproducibility of Inversion Recovery Intravoxel Incoherent Motion Imaging in Cerebrovascular Disease. American Journal of Neuroradiology.\n", + "- Gurney-Champion, O. J., Klaassen, R., Froeling, M., Barbieri, S., Stoker, J., Engelbrecht, M. R., ... & Nederveen, A. J. (2018). Comparison of six fit algorithms for the intra-voxel incoherent motion model of diffusion-weighted magnetic resonance imaging data of pancreatic cancer patients. PloS one, 13(4), e0194590." + ] } ], "metadata": { From 435c2bf03f6d9d8bc5606526cd0245ff148f4b6e Mon Sep 17 00:00:00 2001 From: Rutger Fick Date: Mon, 5 Nov 2018 15:12:03 +0100 Subject: [PATCH 21/37] pep8" --- .travis.yml | 2 +- .../intra_voxel_incoherent_motion.py | 26 +++++++++---------- 2 files changed, 14 insertions(+), 14 deletions(-) diff --git a/.travis.yml b/.travis.yml index 0a8f49ac..be0d2e2a 100644 --- a/.travis.yml +++ b/.travis.yml @@ -55,7 +55,7 @@ install: - python setup.py install --record installed_files.txt script: -- flake8 --ignore N802,N806,E731,F401,W504 `find . -name \*.py | grep -v setup.py | grep -v /doc/` +- flake8 --ignore N802,N806,E731,F401,W504,W605 `find . -name \*.py | grep -v setup.py | grep -v /doc/` - nosetests --with-coverage -v #- travis-sphinx build -s doc #- for a in examples/*ipynb; do diff --git a/dmipy/custom_optimizers/intra_voxel_incoherent_motion.py b/dmipy/custom_optimizers/intra_voxel_incoherent_motion.py index ef1ea3f3..baf62366 100644 --- a/dmipy/custom_optimizers/intra_voxel_incoherent_motion.py +++ b/dmipy/custom_optimizers/intra_voxel_incoherent_motion.py @@ -14,14 +14,14 @@ def ivim_2step(acquisition_scheme, data, mask=None, bvalue_threshold=4e8, the blood flow and diffusion volume fractions and diffusivities, respectively. Changes in e.g. blood volume fraction has been linked to many pathologies such as the vasculature in tumor tissue [2]_. - + Because the apparent diffusivity of blood flow is much higher than that of Brownian motion, the optimization bounds for the diffusivities of the two Balls are disjoint; the diffusivies of the diffusion compartment range between [0.5 - 6]e-3 mm^2/s (results in more precise fit according to [3]), - and those of the blood compartment range between [6 - 20]e-3 mm^2/s - (following [4]). - + and those of the blood compartment range between [6 - 20]e-3 mm^2/s + (following [4]). + The 2-step optimization [5] hinges on the observation that the blood-flow signal is negligible at b-values above 200-400 s/mm^2, but it does have a constribution below that bvalue (and to the b0). @@ -33,11 +33,11 @@ def ivim_2step(acquisition_scheme, data, mask=None, bvalue_threshold=4e8, diffusivity of this compartment. - step 2: fit the 2-compartment model to the whole signal, but fixing the "diffusion" diffusivity to the value estimated in step 1. - + In the fitted ivim_fit model, partial_volume_0 and G1Ball_1_lambda_iso represent the tissue fraction and diffusivity, and partial_volume_1 and G1Ball_2_lambda_iso represent the blood fraction and diffusivity. - + Parameters ---------- acquisition_scheme: Dmipy AcquisitionScheme instance, @@ -46,7 +46,7 @@ def ivim_2step(acquisition_scheme, data, mask=None, bvalue_threshold=4e8, data: ND-array of shape (Nx, ..., N_DWI), measured data corresponding to the acquisition scheme. mask : (N-1)-dimensional integer/boolean array of size (N_x, N_y, ...), - Optional mask of voxels to be included in the optimization. + Optional mask of voxels to be included in the optimization. bvalue_threshold: float, the bvalue threshold at which to separate the blood/diffusion parts of the data. @@ -57,12 +57,12 @@ def ivim_2step(acquisition_scheme, data, mask=None, bvalue_threshold=4e8, whether or not to optimize (or just fix it to the mean of the b0-data) the S0 value in the second optimization step. fit_args: other keywords that are passed to the optimizer - + Returns ------- ivim_fit: Dmipy FittedMultiCompartmentModel instance, contains the fitted IVIM parameters. - + References ---------- .. [1] Le Bihan, D., Breton, E., Lallemand, D., Aubin, M. L., Vignaud, J., @@ -89,7 +89,7 @@ def ivim_2step(acquisition_scheme, data, mask=None, bvalue_threshold=4e8, bvalues=acquisition_scheme.bvalues[bvalue_mask], gradient_directions=acquisition_scheme.gradient_directions[ bvalue_mask]) - + gaussian_data = np.atleast_2d(data)[..., bvalue_mask] gaussian_mod = MultiCompartmentModel([G1Ball()]) @@ -101,7 +101,7 @@ def ivim_2step(acquisition_scheme, data, mask=None, bvalue_threshold=4e8, data=gaussian_data, optimize_S0=True, **fit_args) - + ivim_mod = MultiCompartmentModel([G1Ball(), G1Ball()]) ivim_mod.set_parameter_optimization_bounds( 'G1Ball_2_lambda_iso', [6e-9, 20e-9]) # [4] @@ -155,7 +155,7 @@ def ivim_Dstar_fixed(acquisition_scheme, data, mask=None, Dstar_value=7e-9, whether or not to optimize (or just fix it to the mean of the b0-data) the S0 value in the second optimization step. fit_args: other keywords that are passed to the optimizer - + Returns ------- ivim_fit: Dmipy FittedMultiCompartmentModel instance, @@ -201,4 +201,4 @@ def ivim_Dstar_fixed(acquisition_scheme, data, mask=None, Dstar_value=7e-9, msg = 'IVIM Dstar-fixed optimization of {0:d} voxels'.format(N_voxels) msg += ' complete in {0:.3f} seconds'.format(computation_time) print(msg) - return ivim_fit \ No newline at end of file + return ivim_fit From fa2060fd17d4b7768e5b6f1abc6804dca4dfe0a9 Mon Sep 17 00:00:00 2001 From: Rutger Fick Date: Mon, 5 Nov 2018 15:35:43 +0100 Subject: [PATCH 22/37] update README --- README.md | 45 +++++++++++++++++++++++---------------------- 1 file changed, 23 insertions(+), 22 deletions(-) diff --git a/README.md b/README.md index 6aa8051f..e2a63d6a 100644 --- a/README.md +++ b/README.md @@ -34,7 +34,7 @@ Dmipy allows the user to do Microstructure Imaging research at the highest level - clone repository - python setup.py install -See solutions to [common issues](https://github.com/AthenaEPI/mipy/blob/master/common_issues.md) +See solutions to [common issues](https://github.com/AthenaEPI/dmipy/blob/master/common_issues.md) ## Dependencies Recommended to use Anaconda Python distribution. - numpy >= 1.13 @@ -47,47 +47,48 @@ Recommended to use Anaconda Python distribution. ## Getting Started To get a feeling for how to use Dmipy, we provide a few tutorial notebooks: -- [Setting up an acquisition scheme](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/tutorial_setting_up_acquisition_scheme.ipynb) -- [Simulating and fitting data using a simple Stick model](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/tutorial_simulating_and_fitting_using_a_simple_model.ipynb) -- [Combining biophysical models into a Microstructure model](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/tutorial_combining_biophysical_models_into_microstructure_model.ipynb) +- [Setting up an acquisition scheme](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/tutorial_setting_up_acquisition_scheme.ipynb) +- [Simulating and fitting data using a simple Stick model](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/tutorial_simulating_and_fitting_using_a_simple_model.ipynb) +- [Combining biophysical models into a Microstructure model](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/tutorial_combining_biophysical_models_into_microstructure_model.ipynb) - [Creating a dispersed and/or distributed axon bundle representation](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/tutorial_distributed_model_representations.ipynb) -- [Imposing parameter links and constraints](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/tutorial_imposing_parameter_links.ipynb) -- [Parameter Cascading: Using a simple model to initialize a complex one](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/tutorial_parameter_cascading_and_simulating_nd_datasets.ipynb) +- [Imposing parameter links and constraints](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/tutorial_imposing_parameter_links.ipynb) +- [Parameter Cascading: Using a simple model to initialize a complex one](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/tutorial_parameter_cascading_and_simulating_nd_datasets.ipynb) ## Explanations and Illustrations of Dmipy Contents ### Biophysical Models and Distributions -- [Cylinder Models (Axons, e.g. [Assaf et al. 2004])](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/example_cylinder_models.ipynb) -- [Sphere Models (Tumor cells, e.g. [Panagiotaki et al. 2014])](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/example_sphere_models.ipynb) -- [Parameter Distribution Models (Axon Diameter Distribution, e.g. [Assaf et al. 2008])](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/example_diameter_distributions.ipynb) -- [Gaussian Models (Extra-axonal, e.g. [Behrens et al. 2003])](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/example_gaussian_models.ipynb) +- [Cylinder Models (Axons, e.g. [Assaf et al. 2004])](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_cylinder_models.ipynb) +- [Sphere Models (Tumor cells, e.g. [Panagiotaki et al. 2014])](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_sphere_models.ipynb) +- [Parameter Distribution Models (Axon Diameter Distribution, e.g. [Assaf et al. 2008])](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_diameter_distributions.ipynb) +- [Gaussian Models (Extra-axonal, e.g. [Behrens et al. 2003])](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_gaussian_models.ipynb) - Tissue Response Function Models and Estimation (WM/GM/CSF, e.g. [Jeurissen et al. 2014]) -- [Spherical Distribution Models (Axon Dispersion, e.g. [Kaden et al. 2007])](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/example_watson_bingham.ipynb) -- [Spherical Mean of any Compartment Model](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/example_spherical_mean_models.ipynb) +- [Spherical Distribution Models (Axon Dispersion, e.g. [Kaden et al. 2007])](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_watson_bingham.ipynb) +- [Spherical Mean of any Compartment Model](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_spherical_mean_models.ipynb) ### Global Multi-Compartment Optimizers - [Brute Force to Gradient Descent (Brute2Fine)](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_brute_force_optimization.ipynb) - [Stochastic (MIX) [Farooq et al. 2016]](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_stochastic_mix_optimization.ipynb) ### Constrained Spherical Deconvolution Optimizers - [Generalized Multi-Shell Multi-Compartment CSD [Tournier et al. 2007, Jeurissen et al. 2014]](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_generalized_csd_optimizer.ipynb) ## Dmipy implementations of Microstructure Models in Literature -Dmipy uses HCP data to illustrate microstructure model examples. To reproduce these examples, dmipy provides a direct way to download HCP data (using your own AWS credentials) in the [HCP tutorial](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/tutorial_human_connectome_project_aws.ipynb). +Dmipy uses HCP data to illustrate microstructure model examples. To reproduce these examples, dmipy provides a direct way to download HCP data (using your own AWS credentials) in the [HCP tutorial](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/tutorial_human_connectome_project_aws.ipynb). ### Single Bundle Models -- [Ball and Stick [Behrens et al. 2003]](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/example_ball_and_stick.ipynb) -- [Ball and Racket [Sotiropoulos et al. 2012]](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/example_ball_and_racket.ipynb) -- [NODDI-Watson [Zhang et al. 2012]](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/example_noddi_watson.ipynb) -- [NODDI-Bingham [Tariq et al. 2016]](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/example_noddi_bingham.ipynb) -- [AxCaliber [Assaf et al. 2008]](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/example_axcaliber.ipynb) +- [Ball and Stick [Behrens et al. 2003]](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_ball_and_stick.ipynb) +- [Ball and Racket [Sotiropoulos et al. 2012]](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_ball_and_racket.ipynb) +- [NODDI-Watson [Zhang et al. 2012]](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_noddi_watson.ipynb) +- [NODDI-Bingham [Tariq et al. 2016]](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_noddi_bingham.ipynb) +- [AxCaliber [Assaf et al. 2008]](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_axcaliber.ipynb) - [AxCaliber with Extra-Axonal Diffusion Time-Dependence [De Santis et al. 2016]](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_axcaliber_temporal_zeppeline.ipynb) ### Crossing Bundle Models -- [Ball and Sticks [Behrens et al. 2003]](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/example_ball_and_sticks.ipynb) -- [NODDI in Crossings (NODDIx) [Farooq et al. 2016]](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/example_mix_microstructure_imaging_in_crossings.ipynb) +- [Ball and Sticks [Behrens et al. 2003]](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_ball_and_sticks.ipynb) +- [NODDI in Crossings (NODDIx) [Farooq et al. 2016]](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_mix_microstructure_imaging_in_crossings.ipynb) ### Tumor Models -- [VERDICT [Panagiotaki et al. 2014]](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/example_verdict.ipynb) +- [IVIM [Le Bihan et al. 1988]](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/ivim/examples/example_ivim.ipynb) +- [VERDICT [Panagiotaki et al. 2014]](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_verdict.ipynb) ### Spherical Mean-Based Models Any Spherical Mean model can also estimate parametric FODs. - [Spherical Mean Technique [Kaden et al. 2015]](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_spherical_mean_technique.ipynb) -- [Multi-Compartment Microscopic Diffusion Imaging [Kaden et al. 2016]](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/example_multi_compartment_spherical_mean_technique.ipynb) +- [Multi-Compartment Microscopic Diffusion Imaging [Kaden et al. 2016]](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_multi_compartment_spherical_mean_technique.ipynb) ### Spherical Deconvolution-Based Models Constrained spherical deconvolution (CSD) models are primarily used for Fiber Orientation Distribution (FOD) estimation. Multi-Tissue CSD models improve FOD estimation by separating WM/GM/CSF signal contributions using multiple tissue response functions. - [Multi-Shell Multi-Compartment CSD [model-based version of Jeurissen et al. 2014]](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_multi_compartment_constrained_spherical_deconvolution.ipynb) From 052d4edc9bf347412381d5b99fce14c21d370646 Mon Sep 17 00:00:00 2001 From: Rutger Fick Date: Tue, 6 Nov 2018 16:37:09 +0100 Subject: [PATCH 23/37] bugfix and update tests --- dmipy/core/tests/test_optimization.py | 97 ++++++++++++++++----------- dmipy/optimizers/brute2fine.py | 11 +-- 2 files changed, 65 insertions(+), 43 deletions(-) diff --git a/dmipy/core/tests/test_optimization.py b/dmipy/core/tests/test_optimization.py index 9f6f4dbc..375ea55c 100644 --- a/dmipy/core/tests/test_optimization.py +++ b/dmipy/core/tests/test_optimization.py @@ -17,16 +17,23 @@ def test_simple_stick_optimization(): stick_model = modeling_framework.MultiCompartmentModel( models=[stick]) + gt_parameters = {'C1Stick_1_lambda_par': gt_lambda_par, + 'C1Stick_1_mu': gt_mu} + gt_parameter_vector = stick_model.parameters_to_parameter_vector( - C1Stick_1_lambda_par=gt_lambda_par, C1Stick_1_mu=gt_mu) + **gt_parameters) E = stick_model.simulate_signal(scheme, gt_parameter_vector) stick_model.set_initial_guess_parameter('C1Stick_1_lambda_par', (np.random.rand() + 1.) * 1e-9) stick_model.set_initial_guess_parameter('C1Stick_1_mu', np.random.rand(2)) - res = stick_model.fit(scheme, E).fitted_parameters_vector - assert_array_almost_equal(gt_parameter_vector, res.squeeze(), 2) + fit = stick_model.fit(scheme, E) + for parname, gt_value in gt_parameters.items(): + fitval = fit.fitted_parameters[parname][0] + scale = stick_model.parameter_scales[parname] + assert_array_almost_equal( + abs(fitval / scale), gt_value / scale, 2) def test_simple_ball_and_stick_optimization(): @@ -42,13 +49,14 @@ def test_simple_ball_and_stick_optimization(): gt_lambda_iso = gt_lambda_par / 2. gt_partial_volume = 0.3 + gt_parameters = {'C1Stick_1_lambda_par': gt_lambda_par, + 'G1Ball_1_lambda_iso': gt_lambda_iso, + 'C1Stick_1_mu': gt_mu, + 'partial_volume_0': gt_partial_volume, + 'partial_volume_1': 1 - gt_partial_volume} + gt_parameter_vector = ball_and_stick.parameters_to_parameter_vector( - C1Stick_1_lambda_par=gt_lambda_par, - G1Ball_1_lambda_iso=gt_lambda_iso, - C1Stick_1_mu=gt_mu, - partial_volume_0=gt_partial_volume, - partial_volume_1=1 - gt_partial_volume - ) + **gt_parameters) E = ball_and_stick.simulate_signal( scheme, gt_parameter_vector) @@ -63,8 +71,12 @@ def test_simple_ball_and_stick_optimization(): ball_and_stick.set_initial_guess_parameter('partial_volume_0', vf_rand) ball_and_stick.set_initial_guess_parameter('partial_volume_1', 1 - vf_rand) - res = ball_and_stick.fit(scheme, E).fitted_parameters_vector - assert_array_almost_equal(gt_parameter_vector, res.squeeze(), 2) + fit = ball_and_stick.fit(scheme, E) + for parname, gt_value in gt_parameters.items(): + fitval = fit.fitted_parameters[parname][0] + scale = ball_and_stick.parameter_scales[parname] + assert_array_almost_equal( + abs(fitval / scale), gt_value / scale, 2) def test_multi_dimensional_x0(): @@ -84,14 +96,15 @@ def test_multi_dimensional_x0(): for j, mu2 in enumerate(np.linspace(-np.pi, np.pi, 10)): gt_mu_array[i, j] = np.r_[mu1, mu2] + gt_parameters = {'C1Stick_1_lambda_par': gt_lambda_par, + 'G1Ball_1_lambda_iso': gt_lambda_iso, + 'C1Stick_1_mu': gt_mu_array, + 'partial_volume_0': gt_partial_volume, + 'partial_volume_1': 1 - gt_partial_volume} + gt_parameter_vector = ( ball_and_stick.parameters_to_parameter_vector( - C1Stick_1_lambda_par=gt_lambda_par, - G1Ball_1_lambda_iso=gt_lambda_iso, - C1Stick_1_mu=gt_mu_array, - partial_volume_0=gt_partial_volume, - partial_volume_1=1 - gt_partial_volume) - ) + **gt_parameters)) E_array = ball_and_stick.simulate_signal( scheme, gt_parameter_vector) @@ -107,16 +120,12 @@ def test_multi_dimensional_x0(): ball_and_stick.set_initial_guess_parameter( 'partial_volume_1', 1 - gt_partial_volume) # I'm giving a voxel-dependent initial condition with gt_mu_array - res = ball_and_stick.fit(scheme, E_array).fitted_parameters_vector - # optimization should stop immediately as I'm giving the ground truth. - assert_equal(np.all(np.ravel(res - gt_parameter_vector) == 0.), True) + fit = ball_and_stick.fit(scheme, E_array) # and the parameter vector dictionaries of the results and x0 should also # be the same. - res_parameters = ball_and_stick.parameter_vector_to_parameters(res) - x0_parameters = ball_and_stick.parameter_vector_to_parameters( - gt_parameter_vector) - for key in res_parameters.keys(): - assert_array_equal(x0_parameters[key], res_parameters[key]) + for parname, gt_value in gt_parameters.items(): + fitval = fit.fitted_parameters[parname] + assert_array_almost_equal(gt_parameters[parname], fitval) def test_stick_and_tortuous_zeppelin_to_spherical_mean_fit(): @@ -217,21 +226,26 @@ def test_MIX_fitting_multimodel(): modeling_framework.MultiCompartmentModel( models=[ball, zeppelin])) + gt_parameters = {'G1Ball_1_lambda_iso': 2.7e-9, + 'partial_volume_0': .2, + 'partial_volume_1': .8, + 'G2Zeppelin_1_lambda_perp': .5e-9, + 'G2Zeppelin_1_mu': (np.pi / 2., np.pi / 2.), + 'G2Zeppelin_1_lambda_par': 1.7e-9} + parameter_vector = ball_and_zeppelin.parameters_to_parameter_vector( - G1Ball_1_lambda_iso=2.7e-9, - partial_volume_0=.2, - partial_volume_1=.8, - G2Zeppelin_1_lambda_perp=.5e-9, - G2Zeppelin_1_mu=(np.pi / 2., np.pi / 2.), - G2Zeppelin_1_lambda_par=1.7e-9 - ) + **gt_parameters) E = ball_and_zeppelin.simulate_signal( scheme, parameter_vector) fit = ball_and_zeppelin.fit( scheme, - E, solver='mix').fitted_parameters_vector - assert_array_almost_equal(abs(fit).squeeze(), parameter_vector, 2) + E, solver='mix') + for parname, gt_value in gt_parameters.items(): + fitval = fit.fitted_parameters[parname][0] + scale = ball_and_zeppelin.parameter_scales[parname] + assert_array_almost_equal( + abs(fitval / scale), gt_value / scale, 2) def test_MIX_fitting_singlemodel(): @@ -240,14 +254,19 @@ def test_MIX_fitting_singlemodel(): modeling_framework.MultiCompartmentModel( models=[stick])) + gt_parameters = {'C1Stick_1_mu': [np.pi / 2., np.pi / 2.], + 'C1Stick_1_lambda_par': 1.7e-9} + parameter_vector = stick_mod.parameters_to_parameter_vector( - C1Stick_1_mu=(np.pi / 2., np.pi / 2.), - C1Stick_1_lambda_par=1.7e-9 - ) + **gt_parameters) E = stick_mod.simulate_signal( scheme, parameter_vector) fit = stick_mod.fit( scheme, - E, solver='mix').fitted_parameters_vector - assert_array_almost_equal(abs(fit).squeeze(), parameter_vector, 2) + E, solver='mix') + for parname, gt_value in gt_parameters.items(): + fitval = fit.fitted_parameters[parname][0] + scale = stick_mod.parameter_scales[parname] + assert_array_almost_equal( + abs(fitval / scale), gt_value / scale, 2) diff --git a/dmipy/optimizers/brute2fine.py b/dmipy/optimizers/brute2fine.py index eee02a66..f39c800f 100644 --- a/dmipy/optimizers/brute2fine.py +++ b/dmipy/optimizers/brute2fine.py @@ -58,20 +58,23 @@ def __init__(self, model, acquisition_scheme, x0_vector=None, Ns=5, N_sphere_samples=30): self.model = model self.acquisition_scheme = acquisition_scheme - self.x0_vector = x0_vector[..., 1:] # currently hardcoded no S0 self.Ns = Ns if x0_vector is None: self.global_optimization_grid = True x0_vector = np.tile(np.nan, len(model.bounds_for_optimization)) self.precompute_signal_grid(model, x0_vector, Ns, N_sphere_samples) - elif self.x0_vector.squeeze().ndim == 1: + elif x0_vector.squeeze().ndim == 1: self.global_optimization_grid = True + x0_vector_ = x0_vector.copy() + x0_vector[0] = 1. self.precompute_signal_grid( - model, self.x0_vector.squeeze(), Ns, N_sphere_samples) + model, x0_vector.squeeze(), Ns, N_sphere_samples) elif np.all(np.isnan( - self.x0_vector.reshape([-1, self.x0_vector.shape[-1]])[0])): + x0_vector[..., 1:].reshape( + [-1, x0_vector[..., 1:].shape[-1]])[0])): x0_vector_ = np.tile(np.nan, len(model.bounds_for_optimization)) + x0_vector_[0] = 1. self.global_optimization_grid = True self.precompute_signal_grid( model, x0_vector_, Ns, N_sphere_samples) From 8a67b8e5014012a287d9c2166272e39ebf703eed Mon Sep 17 00:00:00 2001 From: Rutger Fick Date: Tue, 6 Nov 2018 17:08:57 +0100 Subject: [PATCH 24/37] adapted spherical mean model --- dmipy/core/fitted_modeling_framework.py | 4 ++-- dmipy/core/modeling_framework.py | 23 +++++------------------ 2 files changed, 7 insertions(+), 20 deletions(-) diff --git a/dmipy/core/fitted_modeling_framework.py b/dmipy/core/fitted_modeling_framework.py index f692c021..73e12454 100644 --- a/dmipy/core/fitted_modeling_framework.py +++ b/dmipy/core/fitted_modeling_framework.py @@ -241,11 +241,11 @@ class FittedMultiCompartmentSphericalMeanModel: fitted model parameters array. """ - def __init__(self, model, S0, mask, fitted_parameters_vector): + def __init__(self, model, mask, fitted_parameters_vector): self.model = model - self.S0 = S0 self.mask = mask self.fitted_parameters_vector = fitted_parameters_vector + self.S0 = self.fitted_and_linked_parameters['S0'] @property def fitted_parameters(self): diff --git a/dmipy/core/modeling_framework.py b/dmipy/core/modeling_framework.py index f5a1f409..41703ed7 100644 --- a/dmipy/core/modeling_framework.py +++ b/dmipy/core/modeling_framework.py @@ -1023,7 +1023,6 @@ def fit(self, acquisition_scheme, data, optimize_S0=False, self._check_tissue_model_acquisition_scheme(acquisition_scheme) self._check_model_params_with_acquisition_params(acquisition_scheme) self.scheme = acquisition_scheme - # estimate S0 data_ = np.atleast_2d(data,) if mask is None: mask = data_[..., 0] > 0 @@ -1298,7 +1297,7 @@ def _delete_orientation_parameters(self): del self.parameter_cardinality[appended_param_name] del self.parameter_types[appended_param_name] - def fit(self, acquisition_scheme, data, + def fit(self, acquisition_scheme, data, optimize_S0=False, mask=None, solver='brute2fine', Ns=5, maxiter=300, N_sphere_samples=30, use_parallel_processing=have_pathos, number_of_processors=None, verbose=True): @@ -1380,27 +1379,15 @@ def fit(self, acquisition_scheme, data, """ self._check_tissue_model_acquisition_scheme(acquisition_scheme) self._check_model_params_with_acquisition_params(acquisition_scheme) - - # estimate S0 self.scheme = acquisition_scheme data_ = np.atleast_2d(data) - if self.scheme.TE is None or len(np.unique(self.scheme.TE)) == 1: - S0 = np.mean(data_[..., self.scheme.b0_mask], axis=-1) - else: # if multiple TE are in the data - S0 = np.ones(np.r_[data_.shape[:-1], - len(acquisition_scheme.shell_TE)]) - for TE_ in self.scheme.shell_TE: - TE_mask = self.scheme.shell_TE == TE_ - TE_mask_shell = self.scheme.TE == TE_ - TE_b0_mask = np.all([self.scheme.b0_mask, TE_mask_shell], - axis=0) - S0[..., TE_mask] = np.mean( - data_[..., TE_b0_mask], axis=-1)[..., None] if mask is None: mask = data_[..., 0] > 0 else: mask = np.all([mask, data_[..., 0] > 0], axis=0) + self._add_S0_parameter(data_, mask, optimize_S0) + mask_pos = np.where(mask) N_parameters = len(self.bounds_for_optimization) @@ -1458,7 +1445,7 @@ def fit(self, acquisition_scheme, data, start = time() for idx, pos in enumerate(zip(*mask_pos)): - voxel_E = data_to_fit[pos] / S0[pos] + voxel_E = data_to_fit[pos] voxel_x0_vector = x0_[pos] if solver == 'brute2fine': if global_brute.global_optimization_grid is True: @@ -1485,7 +1472,7 @@ def fit(self, acquisition_scheme, data, fitted_parameters_lin * self.scales_for_optimization) return FittedMultiCompartmentSphericalMeanModel( - self, S0, mask, fitted_parameters) + self, mask, fitted_parameters) def simulate_signal(self, acquisition_scheme, parameters_array_or_dict): """ From 9995438c870c5d19e4e3598c820bbfc4e6a9520f Mon Sep 17 00:00:00 2001 From: Rutger Fick Date: Tue, 6 Nov 2018 17:09:16 +0100 Subject: [PATCH 25/37] bugfix --- dmipy/optimizers/brute2fine.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/dmipy/optimizers/brute2fine.py b/dmipy/optimizers/brute2fine.py index f39c800f..3a6fb491 100644 --- a/dmipy/optimizers/brute2fine.py +++ b/dmipy/optimizers/brute2fine.py @@ -66,10 +66,10 @@ def __init__(self, model, acquisition_scheme, self.precompute_signal_grid(model, x0_vector, Ns, N_sphere_samples) elif x0_vector.squeeze().ndim == 1: self.global_optimization_grid = True - x0_vector_ = x0_vector.copy() - x0_vector[0] = 1. + x0_vector_ = x0_vector.copy().squeeze() + x0_vector_[0] = 1. # setting S0 to 1 for precalculation self.precompute_signal_grid( - model, x0_vector.squeeze(), Ns, N_sphere_samples) + model, x0_vector_, Ns, N_sphere_samples) elif np.all(np.isnan( x0_vector[..., 1:].reshape( [-1, x0_vector[..., 1:].shape[-1]])[0])): @@ -192,6 +192,7 @@ def __call__(self, data, S0): if self.global_optimization_grid is True: argmin = find_minimum_argument(S0 * self.signal_grid, data) parameters_brute = self.parameter_grid[argmin] + parameters_brute[0] = S0 return parameters_brute else: msg = "Global Parameter Grid could not be set because parameter " From 320ed11c7b0b48fd2c864048468e14def258cf41 Mon Sep 17 00:00:00 2001 From: Rutger Fick Date: Tue, 6 Nov 2018 17:59:11 +0100 Subject: [PATCH 26/37] update message when scheme has no b0s --- dmipy/core/acquisition_scheme.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/dmipy/core/acquisition_scheme.py b/dmipy/core/acquisition_scheme.py index c6cd2d4c..d300988c 100644 --- a/dmipy/core/acquisition_scheme.py +++ b/dmipy/core/acquisition_scheme.py @@ -165,9 +165,11 @@ def __init__(self, bvalues, gradient_directions, qvalues, self.shell_sh_orders[shell_index], theta_, phi_)[0] # warning in case there are no b0 measurements if sum(self.b0_mask) == 0: - msg = "No b0 measurements were detected. Check if the b0_threshold" - msg += " option is high enough, or if there is a mistake in the " - msg += "acquisition design." + msg = "No b0 measurements were detected. If this is the case, you " + msg += "need to estimate it from the data by setting " + msg += "optimize_S0=True when fitting. If not, check if the " + msg += "b0_threshold option is high enough, or if there is a " + msg += "mistake in the acquisition design." warn(msg) self.spherical_mean_scheme = SphericalMeanAcquisitionScheme( From 6695d0c3cf8f46133067ada38eea116ef6651f25 Mon Sep 17 00:00:00 2001 From: Rutger Fick Date: Tue, 6 Nov 2018 18:10:19 +0100 Subject: [PATCH 27/37] fix test --- dmipy/core/tests/test_optimization.py | 27 +++++++++++++++------------ 1 file changed, 15 insertions(+), 12 deletions(-) diff --git a/dmipy/core/tests/test_optimization.py b/dmipy/core/tests/test_optimization.py index 375ea55c..b493ccb3 100644 --- a/dmipy/core/tests/test_optimization.py +++ b/dmipy/core/tests/test_optimization.py @@ -1,8 +1,7 @@ from dmipy.signal_models import ( cylinder_models, gaussian_models, sphere_models) from dmipy.core import modeling_framework -from numpy.testing import ( - assert_equal, assert_array_almost_equal, assert_array_equal) +from numpy.testing import assert_array_almost_equal import numpy as np from dmipy.data.saved_acquisition_schemes import wu_minn_hcp_acquisition_scheme @@ -165,13 +164,14 @@ def test_stick_and_tortuous_zeppelin_to_spherical_mean_fit(): 'G2Zeppelin_1_lambda_par' ) + gt_parameters = {'C1Stick_1_lambda_par': gt_lambda_par, + 'C1Stick_1_mu': gt_mu, + 'partial_volume_0': gt_partial_volume, + 'partial_volume_1': 1 - gt_partial_volume} + gt_parameter_vector = ( stick_and_zeppelin.parameters_to_parameter_vector( - C1Stick_1_lambda_par=gt_lambda_par, - C1Stick_1_mu=gt_mu, - partial_volume_0=gt_partial_volume, - partial_volume_1=1 - gt_partial_volume) - ) + **gt_parameters)) E = stick_and_zeppelin.simulate_signal( scheme, gt_parameter_vector) @@ -192,11 +192,14 @@ def test_stick_and_tortuous_zeppelin_to_spherical_mean_fit(): 'G2Zeppelin_1_lambda_par', 'C1Stick_1_lambda_par') - res_sm = stick_and_tortuous_zeppelin_sm.fit(scheme, E - ).fitted_parameters_vector - - assert_array_almost_equal( - np.r_[gt_lambda_par, gt_partial_volume], res_sm.squeeze()[:-1], 2) + fit = stick_and_tortuous_zeppelin_sm.fit(scheme, E) + for parname, gt_value in gt_parameters.items(): + if parname not in fit.fitted_parameters.keys(): + continue + fitval = fit.fitted_parameters[parname][0] + scale = stick_and_tortuous_zeppelin_sm.parameter_scales[parname] + assert_array_almost_equal( + abs(fitval / scale), gt_value / scale, 2) def test_fractions_add_up_to_one(): From f46b615af5184da3dd2ee8e761f15559c06bb34c Mon Sep 17 00:00:00 2001 From: Rutger Fick Date: Tue, 6 Nov 2018 19:37:17 +0100 Subject: [PATCH 28/37] completed ivim example --- examples/example_ivim.ipynb | 241 +++++++++++++++++++++++------------- 1 file changed, 158 insertions(+), 83 deletions(-) diff --git a/examples/example_ivim.ipynb b/examples/example_ivim.ipynb index 66a82d42..2debe719 100644 --- a/examples/example_ivim.ipynb +++ b/examples/example_ivim.ipynb @@ -45,14 +45,14 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Dataset is already in place. If you want to fetch it again please first remove the folder /home/lucas/.dipy/ivim \n", + "Dataset is already in place. If you want to fetch it again please first remove the folder /home/rutger/.dipy/ivim \n", "Acquisition scheme summary\n", "\n", "total number of measurements: 21\n", @@ -82,13 +82,6 @@ "19 |1 |900 |N/A |N/A |N/A |N/A \n", "20 |1 |1000 |N/A |N/A |N/A |N/A \n" ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/lucas/anaconda2/lib/python2.7/site-packages/dmipy-0.1.dev0-py2.7.egg/dmipy/core/acquisition_scheme.py:852: UserWarning: pulse_separation (big_delta) or pulse_duration (small_delta) are not defined in the Dipy gtab. This means the resulting DmipyAcquisitionScheme cannot be used with CompartmentModels that need these.\n" - ] } ], "source": [ @@ -103,6 +96,13 @@ "test_voxel = data_slice[0, 0]" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Notice that this scheme has 1 b-value per \"shell\" for different b-values." + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -110,21 +110,22 @@ "### Step 1: Fit only Diffusion model using higher b-value data" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The first step is to truncate the data below a lower b-value threshold and fit a single-compartment Ball model to estimate the \"diffusion\" signal diffusivity.\n", + "\n", + "Note that to do this we need to estimate the S0 intensity of the signal without having any b0-measurements. This is handled internally by dmipy by fitting a Gaussian to the available data points and extrapolating the b0." + ] + }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 14, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/lucas/anaconda2/lib/python2.7/site-packages/dmipy-0.1.dev0-py2.7.egg/dmipy/core/acquisition_scheme.py:171: UserWarning: No b0 measurements were detected. Check if the b0_threshold option is high enough, or if there is a mistake in the acquisition design.\n" - ] - } - ], + "outputs": [], "source": [ - "bvalue_threshold = 4e8\n", + "bvalue_threshold = 4e8 # s/m^2 lower threshold b-value\n", "bvalue_mask = scheme_ivim.bvalues > bvalue_threshold\n", "gaussian_acquisition_scheme = acquisition_scheme_from_bvalues(\n", " bvalues=scheme_ivim.bvalues[bvalue_mask],\n", @@ -133,9 +134,16 @@ "gaussian_data = test_voxel[bvalue_mask]" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note that we must set `optimize_S0=True` here to explicity estimate it." + ] + }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -143,18 +151,19 @@ "output_type": "stream", "text": [ "Using parallel processing with 8 workers.\n", - "Setup brute2fine optimizer in 0.00380110740662 seconds\n", - "Fitting of 1 voxels complete in 0.430498123169 seconds.\n", - "Average of 0.430498123169 seconds per voxel.\n" + "Setup brute2fine optimizer in 0.00290489196777 seconds\n", + "Fitting of 1 voxels complete in 0.0232429504395 seconds.\n", + "Average of 0.0232429504395 seconds per voxel.\n" ] } ], "source": [ "from dmipy.signal_models.gaussian_models import G1Ball\n", "from dmipy.core.modeling_framework import MultiCompartmentModel\n", + "\n", "gaussian_mod = MultiCompartmentModel([G1Ball()])\n", "gaussian_mod.set_parameter_optimization_bounds(\n", - " 'G1Ball_1_lambda_iso', [0.5e-9, 6e-9]) # [3]\n", + " 'G1Ball_1_lambda_iso', [0.5e-9, 6e-9]) # optimization range according to Gurney-Champion 2016\n", "gaussian_fit = gaussian_mod.fit(\n", " acquisition_scheme=gaussian_acquisition_scheme,\n", " data=gaussian_data,\n", @@ -168,9 +177,16 @@ "### Step 2: Fit whole signal with 2-compartment IVIM model (D fixed from step 1)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The second step is done by fixing the diffusion diffusivity in the 2-compartment Ball model and fitting the entire signal." + ] + }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -178,23 +194,22 @@ "output_type": "stream", "text": [ "Using parallel processing with 8 workers.\n", - "Setup brute2fine optimizer in 0.0126860141754 seconds\n", - "Fitting of 1 voxels complete in 0.221951007843 seconds.\n", - "Average of 0.221951007843 seconds per voxel.\n" + "Setup brute2fine optimizer in 0.00647616386414 seconds\n", + "Fitting of 1 voxels complete in 0.0268499851227 seconds.\n", + "Average of 0.0268499851227 seconds per voxel.\n" ] } ], "source": [ "ivim_mod = MultiCompartmentModel([G1Ball(), G1Ball()])\n", "ivim_mod.set_parameter_optimization_bounds(\n", - " 'G1Ball_2_lambda_iso', [6e-9, 20e-9]) # [4]\n", + " 'G1Ball_2_lambda_iso', [6e-9, 20e-9]) # Following Gurney-Champion, 2018\n", "ivim_mod.set_fixed_parameter(\n", " parameter_name='G1Ball_1_lambda_iso',\n", " value=gaussian_fit.fitted_parameters['G1Ball_1_lambda_iso'])\n", "ivim_fit_2step = ivim_mod.fit(\n", " acquisition_scheme=scheme_ivim,\n", - " data=test_voxel,\n", - " optimize_S0=True)" + " data=test_voxel)" ] }, { @@ -205,16 +220,25 @@ ] }, { - "cell_type": "code", - "execution_count": 5, + "cell_type": "markdown", "metadata": {}, + "source": [ + "The fixed D-star IVIM implementation is very simple. We set the blood diffusivity to 7e-9 $m^2/s$ and fit the model as usual." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "ivim_mod = MultiCompartmentModel([G1Ball(), G1Ball()])\n", "ivim_mod.set_fixed_parameter(\n", - " 'G1Ball_2_lambda_iso', 7e-9) # following [2]\n", + " 'G1Ball_2_lambda_iso', 7e-9) # Following Gurney-Champion 2016\n", "ivim_mod.set_parameter_optimization_bounds(\n", - " 'G1Ball_1_lambda_iso', [.5e-9, 6e-9]) # following [3]\n", + " 'G1Ball_1_lambda_iso', [.5e-9, 6e-9]) # Following Gurney-Champion 2016\n", "ivim_fit_Dfixed = ivim_mod.fit(\n", " acquisition_scheme=scheme_ivim,\n", " data=test_voxel,\n", @@ -222,9 +246,18 @@ ] }, { - "cell_type": "code", - "execution_count": 6, + "cell_type": "markdown", "metadata": {}, + "source": [ + "We also fit the Dipy IVIM implementation as a reference" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "from dipy.reconst.ivim import IvimModel\n", @@ -232,16 +265,23 @@ "ivim_fit_dipy = ivimmodel.fit(test_voxel)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally we can visualize the signal fits to this test voxel for the three different IVIM algorithms. Note they're all very similar." + ] + }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 19, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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S7N69m2uvvdZr9XuCkJAQEhMTfXpemrPnKCKblVKeW3dfTArXiTwXZ2md0HgG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\nSkQeFJF+lzd3BOfrAgKE93s2IqpyMZ6ZFUvMH2e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vg8mdbTNPlfJTkRHhTH64GUmpGfSb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\ngEqVKjX9888/XfxbKXdatuM4z8yMBeCD+xtzR90ysHcZzHnYdkDPiVC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" + "" ] }, "metadata": {}, @@ -281,12 +321,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "In practice we can just load the IVIM implementations above directly as follows:" + "To properly evaluate the three algorithms we fit them to the same example slice as in the dipy IVIM example.\n", + "\n", + "Note that in practice we can import custom (prepared) multi-compartment models directly:" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -296,41 +338,40 @@ "Starting step 1 of IVIM 2-step algorithm.\n", "Starting step 2 of IVIM 2-step algorithm.\n", "Cannot estimate signal grid with voxel-dependent x0_vector.\n", - "IVIM 2-step optimization of 5200 voxels complete in 106.958 seconds\n", + "IVIM 2-step optimization of 5200 voxels complete in 35.485 seconds\n", "Starting IVIM Dstar-fixed algorithm.\n", - "IVIM Dstar-fixed optimization of 5200 voxels complete in 57.999 seconds\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/lucas/anaconda2/lib/python2.7/site-packages/dipy-0.14.0-py2.7-linux-x86_64.egg/dipy/reconst/ivim.py:404: UserWarning: x0 obtained from linear fitting is not feasibile as initial guess for leastsq while estimating f and D_star. Using parameters from the linear fit.\n", - " warnings.warn(warningMsg, UserWarning)\n", - "/home/lucas/anaconda2/lib/python2.7/site-packages/dipy-0.14.0-py2.7-linux-x86_64.egg/dipy/reconst/ivim.py:498: UserWarning: x0 is unfeasible for leastsq fitting. Returning x0 values from the linear fit.\n", - " warnings.warn(warningMsg, UserWarning)\n", - "/home/lucas/anaconda2/lib/python2.7/site-packages/dipy-0.14.0-py2.7-linux-x86_64.egg/dipy/reconst/ivim.py:293: UserWarning: Bounds are violated for leastsq fitting. Returning parameters from linear fit\n", - " warnings.warn(warningMsg, UserWarning)\n" + "IVIM Dstar-fixed optimization of 5200 voxels complete in 16.440 seconds\n", + "Dipy computation time: 149.582684994 s\n" ] } ], "source": [ "from dmipy.custom_optimizers.intra_voxel_incoherent_motion import ivim_2step, ivim_Dstar_fixed\n", + "from time import time\n", "ivim_fit_dmipy_2step = ivim_2step(scheme_ivim, data_slice)\n", "ivim_fit_dmipy_fixed = ivim_Dstar_fixed(scheme_ivim, data_slice)\n", - "ivim_fit_dipy = ivimmodel.fit(data_slice)" + "dipy_start = time()\n", + "ivim_fit_dipy = ivimmodel.fit(data_slice)\n", + "print('Dipy computation time: {} s'.format(time() - dipy_start))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can then visualize the fitted parameter maps together:" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 21, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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Iv7bucOABVd0CoKp3isjRwDP952m4Wcr3ichTVfXPDRMka1z9DDgK+DRwDU67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\nW3fX3ZkPP++/s/XIcw2NyVr4gTsK65fZwK1xt77+xXDf8fZltjLlazEpx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hdX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\n8TXU73qmO42x9cPGg0ZVrwAdft2mNftOpD9xU+NI3Nq5L46zSM7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k8XBtqhPP7/89lKjU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cpVSYhCWTWXI7OVin9QZu3Z7PfzsNLlmP62HgibSsPayjejd3gFe9hZvveQYA4K+eflmx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\ncDgcDofD4XA8gvj/Af9rJ1m+LPEVAAAAAElFTkSuQmCC\n", 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" + "" ] }, "metadata": {}, @@ -362,42 +403,45 @@ " ivim_fit_dmipy_fixed.fitted_and_linked_parameters['G1Ball_2_lambda_iso'] * 1e9, vmax=20, **args)\n", "axs[7].text(10, 10, 'Fixed to 7e-9 mm^2/s', fontsize=14, color='white')\n", "im8 = axs[8].imshow(ivim_fit_dipy.D_star * 1e3, vmax=20, **args)\n", - "im9 = axs[9].imshow(ivim_fit_dmipy_2step.fitted_parameters['G1Ball_1_lambda_iso'] * 1e9, vmax=3, **args)\n", - "im10 = axs[10].imshow(ivim_fit_dmipy_fixed.fitted_parameters['G1Ball_1_lambda_iso'] * 1e9, vmax=3, **args)\n", - "im11 = axs[11].imshow(ivim_fit_dipy.D * 1e3, vmax=3, **args)\n", + "im9 = axs[9].imshow(ivim_fit_dmipy_2step.fitted_parameters['G1Ball_1_lambda_iso'] * 1e9, vmax=6, **args)\n", + "im10 = axs[10].imshow(ivim_fit_dmipy_fixed.fitted_parameters['G1Ball_1_lambda_iso'] * 1e9, vmax=6, **args)\n", + "im11 = axs[11].imshow(ivim_fit_dipy.D * 1e3, vmax=6, **args)\n", "\n", "for im, ax in zip([im0, im1, im2, im3, im4, im5, im6, im7, im8, im9, im10, im11], axs):\n", " fig.colorbar(im, ax=ax, shrink=0.7)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Notice that the 2 Dmipy algorithms perform very similarly, meaning that fixing Dstar apparently does not influence the optimized values of other values much (as expected, otherwise this would not be the finding of *(Gurney-Champion 2016)*.\n", + "\n", + "Interestingly, the Dipy IVIM algorithm finds overall higher perfusion volume fractions than either Dmipy implementation, as well as extremely high D-star values outside of the optimization range.\n", + "\n", + "Our findings become more clear in the following parameter histograms in the example slice:" + ] + }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 22, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/lucas/.local/lib/python2.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" - ] - }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 10, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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5f9q0acydO5df/OIXRKOpJ7t89tln+d73vkd5eTnTp0+nqamJbdtcU8zZZ5/N\n0KFDKS4u5uKLL+all17KcDeMyVNvrHTf339+37ZEkNZ7mbR0CbNs+6SlYnVY/2B90ozpoC1btuD3\n+xkxwn26LiwsTOzz+XyJ330+H5FIJOU1kjsBx3+eNm0aW7du5YUXXiAajXL88cenPHf16tXcdddd\nvPDCC4nH+uY3v5n4BLtp0yZ+/vOfs3btWp566inKy8sT/VGSqSqPP/44xxxzTIvta9eubdNJuR+P\nsjSm85pdVoaCQfu2JZo7eyeT1l4urTOjO60O6z8sk2ZMB1RWVnL99dczb968Lv3TxzvKrlixgpNP\nPjmx/eqrr2b27NlpP4Fu3LiRr3zlK6xatSpRwQLcddddbNq0KVGRvf/++0ydOpWFCxcybNgwPvzw\nQ0pKSqitrU2cM2PGDBYvXpz4RL1x48bEvj/+8Y9UVVXR2NjIypUrmTZtWqefqzH9VnMdiB8C+4KY\nvsikpZsQrTM1kNVh/Ytl0oxpR2NjI+Xl5YTDYQKBAHPmzOGWW27p0jVDoRBTp04lFovxm9/8JrH9\nqquu4vbbb080JbQ2f/586urquOyyywAYNWoUq1atSnnce++9h6py1llnMWHCBEaNGpVoGvjGN77B\nt771LW666SbGjx+PqjJ69GiefPJJAE499VTmzJnD5s2bufLKK5k0aVKXnq8x/VK4AQoGtmxvDBQB\n0q/6pFkd1n/rMOlMp8NcM2nSJO2vnQK7W75NwfHWW29x3HHH9XUxutXo0aPZsGEDw4YNa7Pvscce\n44knnuChhx7qg5I5y5YtY8OGDSxZsqTPypAs1WtARF5V1f5Z67Zi9VcOSF4sfVJSBujnn3HTcJx+\na8vjn/kGjPw0XPNUu1NwdLUO21m3k+pQNSMG7ss6xZeF+qD6AwRhdNnoTl+/M6wO65iu1GGWScsj\nj777KBv3ViV+nzg49agZk5tuvPFGfv/73+93kzUak7Oa610mrbXgAIj0ViZNM7Zr5tKKA1aHdT8L\n0ozpZelGSy1evLh3C5LG3LlzmTt3bl8Xw5i+11zfcrWBuGBxLw4cSE+QPgnSrA7rPTZwwBhjjEml\nuS59Jq03p+DIkErLpUya6X5ZBWkicq6IvCMim0XkthT7C0Vkhbd/rYiMTtr3DW/7OyIyo71rinOX\niLwrIm+JyFe79hSNMcaYDlLdN3CgtWBxIkjbsbeR5kjH1sHsUDEyBGEi0v7IAtOvtdvcKSJ+4CfA\n2cB2YL2VuJ4MAAAgAElEQVSIrFLVN5MO+xLwiaoeKSJXAN8HLheRscAVwDhgJLBaRI72zkl3zbnA\np4BjVTUmIklTPZuMtr7C8Kr6fb9bnzRjjOmcpmrQWNpMWnNTPd9/8k3uf+kDAj5h/KfKOHHUAd1f\nDu3apLWmf8smkzYF2KyqW1S1GVgOzGx1zEzgV97PjwFniZuAZSawXFVDqvoBsNm7XqZr/guwUFVj\nAKpa0fmnZ4wxxnRCozcIK1WQFigmEG3i3Y9r8AlEYspPn9/MI2u3dXgB9fb0p4EDpvtlE6QdAnyY\n9Pt2b1vKY1Q1AlQDQzOcm+maR+CycBtE5PciclSqQonIdd4xGyorK7N4GsZ0jt/vp7y8nHHjxjFh\nwgQWLVpELNax5o077riD1atXd7ksCxYs4JBDDqG8vJyjjjqKiy++mDfffDPjOStXrmz3mGxMnz6d\nY445hvLycsrLyxOLLZ9yyildvja0XMDZmD7X4AVpwRRBWkExPo3yYUUVhw0dyLBBhezY29RjRUmX\nScs2w2Z1mNMf67BsRnemehW0Dt3THZNue6rgMH7NQqBJVSeJyMXAL4HPtDlYdSmwFNw8Q6mLbvJO\n8nxG3WFS6lmxkxUXFydmwa6oqODKK6+kurqaO++8M+uHWbhwYaeL2NrNN9/M17/+dcDN9n3mmWfy\n97//neHDh6c8fuXKlVxwwQWMHTs268eIRCIEAm2rh4cffrjNpJCvvPJKB0pvTO5Z+8G+qYumxl/e\nDXvc93QDB4CGmiomjB3BrpomtlVlOZCgg3XYgNAnBKNhCpPLEXA/D2yq4pPjWzdstWV12D79rQ7L\nJpO2HddHLO5QYEe6Y0QkAJQBVRnOzXTN7cDj3s+/A8ZnUUZjesWIESNYunQpS5YsQVVZtmwZs2bN\n4sILL2TMmDEsWbKERYsWMXHiRE466SSqqlzln/wJa/To0dx6661MmTKFKVOmsHnzZmpraxkzZgzh\ncBiAmpoaRo8enfg9ncsvv5xzzjmHRx55BIDbbruNsWPHMn78eL7+9a/zyiuvsGrVKubPn095eTnv\nv/8+v/jFL5g8eTITJkzgkksuoaGhIVHGW265hTPOOINbb70108O2MGiQW9fwd7/7HZ/97GdRVXbu\n3MnRRx/Nxx9/TDQaZf78+UyePJnx48dz7733Am6m9Hnz5jF27FjOP/98KiqsZ4PJIQ0Zmju9paHK\npJ4jhg1kZFkxexvCNIRSr3PZVWkzaZ0YOGB1WFu5XIdlk0lbDxwlImOAj3ADAa5sdcwq4AvAX4BL\ngedUVUVkFfCIiCzCDRw4CliHy7Clu+ZK4ExcBu104N3OP7392xHbHnU/+N3s1NlkjUz7Dj/8cGKx\nWOIf8vXXX2fjxo00NTVx5JFH8v3vf5+NGzdy88038+CDD3LTTTe1uUZpaSnr1q1L7H/yySeZPn06\nTz31FLNmzWL58uVccsklBIPBdstz4okn8vbbb1NVVcXvfvc73n77bUSEvXv3MnjwYC666CIuuOAC\nLr30UgAGDx7Ml7/8ZQBuv/127r//fm688UYA3n33XVavXo3f70/5WFdddRXFxe4N6k9/+hNDhw5N\n7Pv85z/P448/zk9+8hP+8Ic/cOedd3LQQQexdOlSysrKWL9+PaFQiGnTpnHOOeewceNG3nnnHf7+\n97+za9cuxo4dyxe/+MUO/CWM6UGZMmkB9z9QQgMHlhXRHHWR0o7qJo4cMajt8V2g2v190qwO6z91\nWLtBmqpGRGQe8AzgB36pqm+IyEJgg6quAu4HHhKRzbgM2hXeuW+IyG+BN4EIcIOqRgFSXdN7yO8B\nD4vIzUAdcG33Pd39ywuRdwDYVuUqmcv6sjB5Jnk5tTPOOIOSkhJKSkooKyvjwgsvBOCEE07gtdde\nS3l+fF272bNnc/PNNwNw7bXX8oMf/IBZs2bxwAMP8Itf/KJDZSktLaWoqIhrr72W888/nwsuuCDl\n8a+//jq33347e/fupa6ujhkzEjPjcNlll6Wt3CB1U0GyxYsXc/zxx3PSSSclnuOzzz7La6+9lvgU\nXl1dzXvvvceLL77I7Nmz8fv9jBw5kjPPPDOr52tMr2jY7S2uXtR2X9BtG1HYTGHAz0Fl7vddNd0f\npGXSlTGfVoellmt1WFYrDqjq08DTrbbdkfRzE2liAFW9C7grm2t62/cC52dTLmP6wpYtW/D7/YwY\n4WaHKSwsTOzz+XyJ330+H5FI6uYPSVqwOf7ztGnT2Lp1Ky+88ALRaJTjjz8+q/Js3LiRSZMmEQgE\nWLduHX/6059Yvnw5S5Ys4bnnnmtz/Ny5c1m5ciUTJkxg2bJlrFmzJrFv4MB9WYMZM2awa9cuJk2a\nxH333ZdVWT766CN8Ph+7du0iFovh8/lQVRYvXtyiIgV4+umnW9wHY3JKfSUUDmq5uHqcF7gdXOia\n8gYW+An4hNqmzE17PaEzmTSrw9LLtTrMVhwwpgMqKyu5/vrrmTdvXpf+OVesWJH4fvLJJye2X331\n1cyePZtrrsmuafrxxx/n2WefZfbs2dTV1VFdXc3nPvc57rnnnkRH4ZKSEmpraxPn1NbWcvDBBxMO\nh3n44YfTXvuZZ55h06ZNWVdukUiEa665hkceeYTjjjuORYsWAa6i/NnPfpbom/Luu+9SX1/Paaed\nxvLly4lGo+zcuZPnn38+q8cxplfU74aCktT7vCBtREEz4IKUQUUBapp6t08adLxPmtVh6eViHWZr\ndxrTjsbGRsrLywmHwwQCAebMmcMtt9zSpWuGQiGmTp1KLBbjN7/5TWL7VVddxe23355Is6dy9913\n8+tf/5r6+nqOP/54nnvuOYYPH87OnTuZOXMmTU1NqCp33303AFdccQVf/vKX+fGPf8xjjz3Gt7/9\nbaZOncphhx3GCSec0KLy64rvfOc7fOYzn+Ezn/kM5eXlTJ48mfPPP59rr72WrVu3cuKJJ6KqDB8+\nnJUrV/L5z3+e5557jhNOOIGjjz6a008/vVvKYUy3iGfSUqiOFVMGDCtoJp47Ky0K9kgmLblZMuX+\nLKI0q8Oyk4t1mLT3AugPJk2apBs2bOjrYvS5R5+9mQ/21LfZPmao1yftnLt7u0hd9tZbb3Hcccf1\ndTG61ejRo9mwYQPDhg1rs++xxx7jiSee4KGHHuqDkuWmVK8BEXlVVdN3LOlHrP7qe2sf/WHi56mX\nfc39cM8JMHAETPznNsf/bY+PCX/5Ks8deA0fn+iCnYfX/oPK2hA3ffZorpw6KnFsV+uwrdVbUZSy\nwrLEtiFFbjDYjrod1DbXcsyQYzp9/c6wOqxjulKHWSbNmBxx44038vvf/56nn27TVdMY09vqd8OQ\nI1Lu2lof5Agtoswf4mNvW0lRgPcr63qvfJ5cWnHA6rDuZ0GaMb1s69atKbcvXry4dwtijEktVOct\nrp66uXN7g586iimhMbGttChIUzhGONq9i60rmnNrd1od1nts4IAxxhiTrN5bajBNn7SPG300UExh\nbF/3kpIil/Oo7ebBA5kyZdKJgQOmf7EgzRhjjElWv9t9TzO6c2eDnyYpJBhJDtLcpK3dPnhAST8K\nU3KrudN0P2vuNMaYbiYiW4F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SbJ60/GdBWp6pjdUxKhyhKjiUaEGAMaECdhY0EuuGdeSM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\nAElFTkSuQmCC\n", "text/plain": [ - "
" + "" ] }, "metadata": {}, @@ -424,6 +468,8 @@ "sns.distplot(ivim_fit_dipy.D_star.ravel() * 1e3, ax=axs[2], label='Dipy Reference')\n", "axs[2].set_ylim(0, 0.005)\n", "axs[2].set_title('D_star (perfusion)')\n", + "axs[2].text(450, 0.001, 'Dipy IVIM does not respect\\noptimization boundaries')\n", + "axs[2].arrow(800, 0.0005, 100, -0.0001, width=0.00005, head_length=80.)\n", "\n", "sns.distplot(ivim_fit_dmipy_2step.fitted_parameters['G1Ball_1_lambda_iso'].ravel() * 1e9, ax=axs[3], label='Dmipy 2-step')\n", "sns.distplot(ivim_fit_dmipy_fixed.fitted_parameters['G1Ball_1_lambda_iso'].ravel() * 1e9, ax=axs[3], label='Dmipy Dstar-Fixed')\n", @@ -436,6 +482,17 @@ "axs[3].legend()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In the histograms notice again that the 2 Dmipy implementations find similar parameter values, and the Dipy implementation differs.\n", + "- S0 is basically the same for all algorithms.\n", + "- Perfusion fraction very similar for Dmipy IVIMs, and Dipy IVIM finds a very particular peak just above 0.25.\n", + "- D_star values for Dmipy fall within the optimization ranges, but it's impossible to see with the Dipy D_star values, which apparently sometimes find value sof 1000 (i.e. 3000 mm^2/s, 1000 times free water diffusivity).\n", + "- The regular D estimation for Dmipy IVIMs are very similar again, with Dipy IVIM being somewhat lower overall." + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -444,9 +501,18 @@ ] }, { - "cell_type": "code", - "execution_count": 11, + "cell_type": "markdown", "metadata": {}, + "source": [ + "Following our previous findings we can also calculate the mean squared fitting error for the three algorithms." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "mse_2step = ivim_fit_dmipy_2step.mean_squared_error(data_slice)\n", @@ -458,14 +524,14 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 24, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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OGmfRNcw7U46zCjDETutoAFjHcZwSFl3Dut+ZmtS0mTKDD9TXII7RSt8JMz/L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F8LHEu4tfl1Znao2RqO40weTTZTx0m6JXm+2cw2J8+XAfclz3cA59StURkTCyPvA5YQ8p3OAa4G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\nNtXV21UST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" + "" ] }, "metadata": {}, @@ -494,6 +560,15 @@ "axs[3].set_title('Fitting Error Boxplots', fontsize=13);" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Notice that Dmipy 2-step and D-fixed have very similar fitting error, with 2-step having 2 outliers (local minima could possibly be avoided by increasing brute-force sampling rate Ns). The Dipy IVIM has significantly higher fitting error compared to the Dmipy IVIMs, even with some extreme outliers.\n", + "\n", + "This example demonstrated that Dmipy can be easily used to generate, fit and evaluate differet IVIM implementations, and that it's performance is better and faster than the Dipy reference implementation at the moment of this writing." + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -524,7 +599,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", - "version": "2.7.15" + "version": "2.7.13" } }, "nbformat": 4, From 109dff4525f5ac0d79397e6af17d243749cbec27 Mon Sep 17 00:00:00 2001 From: Rutger Fick Date: Tue, 6 Nov 2018 20:14:50 +0100 Subject: [PATCH 29/37] bugfix --- dmipy/core/fitted_modeling_framework.py | 4 ++++ dmipy/tissue_response/tests/test_tissue_response_models.py | 4 ++-- 2 files changed, 6 insertions(+), 2 deletions(-) diff --git a/dmipy/core/fitted_modeling_framework.py b/dmipy/core/fitted_modeling_framework.py index 73e12454..5c7482f5 100644 --- a/dmipy/core/fitted_modeling_framework.py +++ b/dmipy/core/fitted_modeling_framework.py @@ -447,6 +447,8 @@ def return_parametric_fod_model( parameters[i]) for parameters in parameter_pairs: + if smt_par_name == 'S0': # temporary solution + continue smt_parameter_name = parameters[0] mc_parameter_name = parameters[1] mc_bundles_model.set_fixed_parameter( @@ -526,6 +528,8 @@ def return_spherical_harmonics_fod_model(self, sh_order=8): del sh_model.parameter_optimization_flags[param_to_delete] for smt_par_name in self.model.parameter_names: + if smt_par_name == 'S0': # temporary solution + continue sh_model.set_fixed_parameter( smt_par_name, self.fitted_parameters[smt_par_name]) return sh_model diff --git a/dmipy/tissue_response/tests/test_tissue_response_models.py b/dmipy/tissue_response/tests/test_tissue_response_models.py index f1528d4b..bb944c26 100644 --- a/dmipy/tissue_response/tests/test_tissue_response_models.py +++ b/dmipy/tissue_response/tests/test_tissue_response_models.py @@ -98,8 +98,8 @@ def test_tissue_response_model_multi_compartment_models(): test_data = [test_mc_data, test_mc_data_sm] params = { - 'partial_volume_0': [0.5], - 'partial_volume_1': [0.5], + 'partial_volume_0': 0.5, + 'partial_volume_1': 0.5, 'AnisotropicTissueResponseModel_1_mu': np.array( [np.pi / 2, np.pi / 2]) } From 77f510d8897aeb531a1b4f1a485e6d3672938898 Mon Sep 17 00:00:00 2001 From: Rutger Fick Date: Tue, 6 Nov 2018 21:19:38 +0100 Subject: [PATCH 30/37] update brute2fine --- dmipy/optimizers/brute2fine.py | 32 +++++++++++++++++++++++--------- 1 file changed, 23 insertions(+), 9 deletions(-) diff --git a/dmipy/optimizers/brute2fine.py b/dmipy/optimizers/brute2fine.py index 3a6fb491..6a9c689d 100644 --- a/dmipy/optimizers/brute2fine.py +++ b/dmipy/optimizers/brute2fine.py @@ -240,8 +240,13 @@ def __init__(self, model, acquisition_scheme, Ns=5): self.acquisition_scheme = acquisition_scheme self.Ns = Ns - def objective_function(self, parameter_vector, data): + def objective_function( + self, parameter_vector_, data, x0_vector, opt_bools): "The objective function for brute-force and gradient-based optimizer." + parameter_vector = np.empty(len(opt_bools)) + parameter_vector[opt_bools] = parameter_vector_ + parameter_vector[~opt_bools] = x0_vector[~opt_bools] + N_fractions = len(self.model.models) if N_fractions > 1: nested_fractions = parameter_vector[-(N_fractions - 1):] @@ -284,8 +289,8 @@ def __call__(self, data, x0_vector): x0_bool = np.isnan(x0_vector) x0_vector[~x0_bool] /= self.model.scales_for_optimization[~x0_bool] N_fractions = len(self.model.models) - fit_args = (data,) bounds = self.model.bounds_for_optimization + optimization_bools = np.array(self.model.opt_params_for_optimization) bounds_brute = [] bounds_fine = list(bounds) for i, x0_ in enumerate(x0_vector): @@ -295,24 +300,33 @@ def __call__(self, data, x0_vector): (bounds[i][1] - bounds[i][0]) / float(self.Ns))) if not np.isnan(x0_): bounds_brute.append(slice(x0_, x0_ + 1e-2, None)) - if (not np.isnan(x0_) and - self.model.opt_params_for_optimization[i] is False): - bounds_fine[i] = np.r_[x0_, x0_] + if not np.all(optimization_bools): + bounds_fine = [] + for i, x0_ in enumerate(x0_vector): + if optimization_bools[i]: + bounds_fine.append(bounds[i]) if N_fractions > 1: # go to nested bounds bounds_brute = bounds_brute[:-1] bounds_fine = bounds_fine[:-1] x0_vector = x0_vector[:-1] + optimization_bools = optimization_bools[:-1] + + fit_args_brute = (data, x0_vector, ~np.isnan(x0_vector)) + fit_args_fine = (data, x0_vector, optimization_bools) if np.any(np.isnan(x0_vector)): x0_brute = brute( - self.objective_function, ranges=bounds_brute, args=fit_args, - finish=None) + self.objective_function, ranges=bounds_brute, + args=fit_args_brute, finish=None) else: x0_brute = x0_vector - x_fine_nested = minimize(self.objective_function, x0_brute, - args=fit_args, bounds=bounds_fine, + x_fine_nested = minimize(self.objective_function, + x0_brute[optimization_bools], + args=fit_args_fine, bounds=bounds_fine, method='L-BFGS-B').x + x0_vector[optimization_bools] = x_fine_nested + x_fine_nested = x0_vector if N_fractions > 1: nested_fractions = x_fine_nested[-(N_fractions - 1):] normalized_fractions = nested_to_normalized_fractions( From 6cd737638554049438772c290de6935af21d85a8 Mon Sep 17 00:00:00 2001 From: Rutger Fick Date: Tue, 6 Nov 2018 22:53:10 +0100 Subject: [PATCH 31/37] bugfix --- dmipy/core/fitted_modeling_framework.py | 10 +-- dmipy/core/modeling_framework.py | 96 ++++++++++++++++++------- 2 files changed, 76 insertions(+), 30 deletions(-) diff --git a/dmipy/core/fitted_modeling_framework.py b/dmipy/core/fitted_modeling_framework.py index 5c7482f5..d1c6392b 100644 --- a/dmipy/core/fitted_modeling_framework.py +++ b/dmipy/core/fitted_modeling_framework.py @@ -193,7 +193,8 @@ def predict(self, acquisition_scheme=None, S0=None, mask=None): parameters = self.model.parameter_vector_to_parameters( self.fitted_parameters_vector[pos]) predicted_signal[pos] = self.model( - acquisition_scheme, **parameters) * S0_mult[pos] + acquisition_scheme, **parameters) * np.dot( + self.model.S0_mapping, S0_mult[pos]) return predicted_signal def R2_coefficient_of_determination(self, data): @@ -292,9 +293,9 @@ def predict(self, acquisition_scheme=None, S0=None, mask=None): dataset_shape = self.fitted_parameters_vector.shape[:-1] if S0 is None: - S0 = self.S0 + S0_mult = np.ones_like(self.S0) elif isinstance(S0, float): - S0 = np.ones(dataset_shape) * S0 + S0_mult = S0 / self.S0 if mask is None: mask = self.mask @@ -306,7 +307,8 @@ def predict(self, acquisition_scheme=None, S0=None, mask=None): parameters = self.model.parameter_vector_to_parameters( self.fitted_parameters_vector[pos]) predicted_signal[pos] = self.model( - acquisition_scheme, **parameters) * S0[pos] + acquisition_scheme, **parameters) * np.dot( + self.model.S0_mapping_sm, S0_mult[pos]) return predicted_signal def R2_coefficient_of_determination(self, data): diff --git a/dmipy/core/modeling_framework.py b/dmipy/core/modeling_framework.py index 41703ed7..f7e89e04 100644 --- a/dmipy/core/modeling_framework.py +++ b/dmipy/core/modeling_framework.py @@ -510,11 +510,11 @@ def set_fixed_parameter(self, parameter_name, value): else: msg = 'parameter_name must be a float or an ND-array.' raise ValueError(msg) - elif card == 2: + elif card > 1: value = np.array(value, dtype=float) - if value.shape[-1] != 2: - msg = '{} can only be fixed '.format(parameter_name) - msg += 'to an array or list with last dimension 2.' + if value.shape[-1] != card: + msg = '{} can only be fixed to an '.format(parameter_name) + msg += 'array or list with last dimension {}.'.format(card) raise ValueError(msg) if value.ndim == 1: self._add_fixed_parameter_value(parameter_name, value) @@ -845,37 +845,64 @@ def _add_S0_parameter(self, data, mask=None, optimize_S0=False): scheme_has_b0s = np.sum(self.scheme.b0_mask) > 0 if scheme_has_b0s: if self.scheme.TE is None or len(np.unique(self.scheme.TE)) == 1: + N_TE = 1 + self.S0_mapping = 1. + self.S0_mapping_sm = 1. S0 = np.mean(data[..., self.scheme.b0_mask], axis=-1) else: # if multiple TE are in the data - S0 = np.ones_like(data) - for TE_ in self.scheme.shell_TE: + unique_TEs = np.unique(self.scheme.TE) + N_TE = len(unique_TEs) + S0 = np.ones(np.r_[data.shape[:-1], N_TE]) + self.S0_mapping = np.zeros([data.shape[-1], N_TE]) + self.S0_mapping_sm = np.zeros( + [len(self.scheme.shell_TE), N_TE]) + for i, TE_ in enumerate(unique_TEs): TE_mask = self.scheme.TE == TE_ + TE_mask_sm = self.scheme.shell_TE == TE_ TE_b0_mask = np.all([self.scheme.b0_mask, TE_mask], axis=0) - S0[..., TE_mask] = np.mean( + S0[..., i] = np.mean( data[..., TE_b0_mask], axis=-1)[..., None] + self.S0_mapping[:, i] = TE_mask + self.S0_mapping_sm[:, i] = TE_mask_sm else: if optimize_S0: - "fit each voxel using 2nd order polynomial" - S0 = np.zeros(data.shape[:-1]) - mask_pos = np.where(mask) - for pos in zip(*mask_pos): - _, neg_log_S0 = np.polyfit( - x=self.scheme.bvalues, y=-np.log(data[pos]), deg=1) - S0[pos] = np.exp(-neg_log_S0) + if (self.scheme.TE is None or + len(np.unique(self.scheme.TE)) == 1): + "fit each voxel using 2nd order polynomial" + self.S0_mapping = self.S0_mapping_sm = 1. + S0 = np.zeros(data.shape[:-1]) + mask_pos = np.where(mask) + for pos in zip(*mask_pos): + _, neg_log_S0 = np.polyfit( + x=self.scheme.bvalues, y=-np.log(data[pos]), deg=1) + S0[pos] = np.exp(-neg_log_S0) + else: + raise NotImplementedError( + 'multi-TE S0 estimation not yet implemented') else: msg = "optimize_S0 must be True when the acquisition scheme " msg += "has no b0 measurements." raise ValueError(msg) - parameter_scale = np.max(S0) - S0_norm = S0 / parameter_scale - range_max = np.max(S0_norm) * 1.1 - parameter_card = 1 - parameter_flag = optimize_S0 + if N_TE == 1: + parameter_scale = np.max(S0) + S0_norm = S0 / parameter_scale + parameter_range = [0., np.max(S0_norm) * 1.1] + parameter_card = N_TE + parameter_flag = optimize_S0 + else: + parameter_scale = [] + parameter_range = [] + parameter_card = N_TE + parameter_flag = optimize_S0 + for i in range(N_TE): + parameter_scale.append(np.max(S0[..., i])) + S0_norm = S0[..., i] / parameter_scale[i] + parameter_range.append([0., np.max(S0_norm) * 1.1]) self._add_optimization_parameter( 'S0', - [0., range_max], + parameter_range, parameter_scale, parameter_card, 'intensity', @@ -887,6 +914,19 @@ def _add_S0_parameter(self, data, mask=None, optimize_S0=False): self.set_fixed_parameter('S0', S0) def set_parameter_optimization_bounds(self, parameter_name, bounds): + """ + Sets the parameter optimization bounds for a given parameter. + + Parameters + ---------- + parameter_name: string, + name of the parameter whose bounds should be changed. + bounds: array or size(card, 2), + upper and lower bound for each optimized value for the given + parameter, where card is + self.parameter_cardinality[parameter_name]). + + """ parameter_scale = np.max(bounds) ranges = np.array(bounds) / parameter_scale self.parameter_ranges[parameter_name] = ranges @@ -1175,7 +1215,8 @@ def __call__(self, acquisition_scheme_or_vertices, Is internally given as **parameter_dictionary. """ try: - S0 = kwargs['S0'] + S0_pars = kwargs['S0'] + S0 = np.dot(self.S0_mapping, S0_pars) except KeyError: S0 = 1. @@ -1543,6 +1584,12 @@ def __call__(self, acquisition_scheme_or_vertices, kwargs: keyword arguments to the model parameter values, Is internally given as **parameter_dictionary. """ + try: + S0_pars = kwargs['S0'] + S0 = np.dot(self.S0_mapping_sm, S0_pars) + except KeyError: + S0 = 1. + if quantity == "signal": values = 0 elif quantity == "stochastic cost function": @@ -1576,13 +1623,10 @@ def __call__(self, acquisition_scheme_or_vertices, ) if quantity == "signal": - values = ( - values + - partial_volume * model.spherical_mean( + values += S0 * partial_volume * model.spherical_mean( acquisition_scheme_or_vertices, **parameters) - ) elif quantity == "stochastic cost function": - values[:, counter] = model.spherical_mean( + values[:, counter] = S0 * model.spherical_mean( acquisition_scheme_or_vertices, **parameters) counter += 1 From d0c749bc18f8196b597fdddced55327bc595ce2c Mon Sep 17 00:00:00 2001 From: Rutger Fick Date: Tue, 6 Nov 2018 22:53:19 +0100 Subject: [PATCH 32/37] update verdict example --- examples/example_verdict.ipynb | 57 ++++++++++++++++++++-------------- 1 file changed, 33 insertions(+), 24 deletions(-) diff --git a/examples/example_verdict.ipynb b/examples/example_verdict.ipynb index 2a22d4a7..b27ab2f6 100644 --- a/examples/example_verdict.ipynb +++ b/examples/example_verdict.ipynb @@ -40,10 +40,17 @@ { "cell_type": "code", "execution_count": 1, - "metadata": { - "collapsed": true - }, - "outputs": [], + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/rutger/anaconda2/lib/python2.7/site-packages/h5py/__init__.py:34: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", + " from ._conv import register_converters as _register_converters\n" + ] + } + ], "source": [ "from dmipy.signal_models import sphere_models, cylinder_models, gaussian_models" ] @@ -117,7 +124,7 @@ "outputs": [ { "data": { - "image/png": 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0VMj8zjvvUJcuXejnn38WrnvQY1QqFa1YsUJoZ968eXTu3Dm9/k2Jbnca48eP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\n3rx52Lt3L65evYoePXqIEkNLlpCQgAEDBsDOzg6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3ce/ePYwYMQJ37tzBoEGDsHv37hrH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\n", 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HDh0SO06XVV1dTXPnziUA9OKLL7brPaOsc9uwYQPZ29uTi4sLrVu3jkdgO5ns7GyaOHGi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3nppZdQSvHzzz/z/vvv89VXX7F7926CgoLYsmULmZmZAAQHB7Nu3To6OzvZuXMnp0+fpqysDKPR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\nQgghhBBCCHEbDf8Hu8BhY/nQTtAAAAAASUVORK5CYII=\n", "text/plain": [ "" ] @@ -149,7 +156,8 @@ "outputs": [], "source": [ "verdict_mod.set_fixed_parameter('G1Ball_1_lambda_iso', 0.9e-9)\n", - "verdict_mod.parameter_ranges['C1Stick_1_lambda_par'] = (3.05, 10)" + "verdict_mod.set_parameter_optimization_bounds(\n", + " 'C1Stick_1_lambda_par', [3.05e-9, 10e-9])" ] }, { @@ -175,7 +183,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -255,16 +263,16 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Setup MIX optimizer in 7.86781311035e-06 seconds\n", - "Fitting of 1 voxels complete in 1.97516489029 seconds.\n", - "Average of 1.97516489029 seconds per voxel.\n" + "Setup MIX optimizer in 2.90870666504e-05 seconds\n", + "Fitting of 1 voxels complete in 3.41024303436 seconds.\n", + "Average of 3.41024303436 seconds per voxel.\n" ] } ], @@ -288,14 +296,14 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { - "image/png": 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4Dz6Qs9Y51y6mjvC46nXn3Kg02i3GBzYjN83Nx9/g+QX+e3co/vu4FD9eiARA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/MGDtAC4kXLDLtZySfyj0WQ73PQs7voFZj8LN846OSogstcoGseK55nRrWIGvfv6XbpO3cfJy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\n9ozOa1i5IVO7TOWpiKdYd3gd3Rd0Z8bvM8g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pASM3xZXgx6Oz8WOvIvxNdScA3WPHhsHNm8vwY7lS4LdBfZG0eJsS/S0kY2bL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\nABPA8y2e58aLbmTsr2MZv2G81/V4JDAYbnoP2j4Fv86AmbdCgm+jBiW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Sk1LoMe5HPlmz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6TSLmG/UgpUKSUiIpJXBd9QnMAyYcSus9+qD9Kqoy6fOc3uVb/7YGciril6551UfPdd4tav5/DT\nT2NecW8+U+1StZl892TikuLov6Q/Ry4fsWyPNsPGoEaDLFvPKSFF4Yk5UONOmD8CVo/37fUlR3fW\nLc/Cp9pTtXQ4T85az7uLd5GckurRmscuxLPtyAU+W3OQqNLhfDu0DffeFMnIRX/w7FdbLG8LKCIi\n1yiMEhEREREREbHDMAwiWkRy5cBFkk7abxd1Q+NmlKpYmfUL5umn7CVPKt65E5H/fJPY337nyPMv\nYLpZxVe3dF0m3zOZy0mX6b+kP0cvH/VoX4G2QCCtMqpbjW4ereWW4HDo8RnU6QyLX4Lf/mv3B1bF\nN6qUCmfO4DY83iqK8b/so+fUNZy8lOD2ejFn40lKMRm9bC8AESGBjHuiKc/fU4t5m4/w0ISVHDnv\nXtWgiIjYpzBKJAvX50pJvmfFDKlM1VEZj5nZ2/Vlnh2V/v+ajDlRdqqSHM5tsrg6ytm9FKjqnZxm\nSdl5/0zD9f+YZm3bZ2+WVIGtQhMREcmnwpuVgwCD2LX2q6MMm41mnbtz8sA+Du3Y5qPdibim5COP\nUO6lF7m0dCnHXv0HZqp71Sb1Stdj8j2TuZh4kegl0Ry7fMztPYUGhmb8+cXfXiQpNcnttdwWGAIP\nz4SGPWDZf+CnNxVI5QGhQQG81b0B7z/ciM2HztP54+Ws/eusW2tFlQojKMBgxB01Mt5mGAbD76jJ\n5F7NOXA6jq6j3V9fRERypzBKxAWKpAowK2dIZX57lhAp6+ygrHOi7AUVDgMKi1vN2Zt1VOADEy/M\n5Mp+CfuhFBTg4E9ERCQfCigSTFi90sRtPIGZbP/Gfb32txNevATrF3zro92JuK50376UGTGcC999\nx4n//MftSr6bSt/EpHsmcSHxAtFLojke67idpT0VIirw48Ef/RdIBQRCt/HQPBpWfAiLXgA3wzqx\n1oPNKjNvWFsiQgJ5bPJqt+Y8VSgeRoNKxXm8VdVsj91VrzzzhrWleFgQj09ezezVB1XhKiJiIYVR\nUig5nBuVy+OKogo4q2ZI5RIuZAQKhpnjn7OGVvaCILuBlMUhiiuBSYHk5XlSrlZKFdiPs4iISD4Q\n0SKS1Lhk4necsXtcYHAwje/pxF+b1nPm8CEf7U7EdWWGDqVUdDTnPvucU++/7/aN9/pl6jPx7omc\nTzxP9JJoTsSecHtPPev25IXmL/DjwR956beX/BNI2WzQ6QNoMwLWTYb5wyHFvXaGYq06kcWYP7wt\nd9ctz8hFfzD4kw1cTLDuOVKjXBHmDmtL+5pleG3edl6Zu43EZM2REhGxgsIoEZGsLGjbl1OQlP7/\nOtMETANM47qgIaf/9zkKpJxq3eflKqn0/RTosCSnFn6WX8L+xxgKeDWaiIhIPhBSowQBJUOIXee4\n8qPRPfcRGBTMhoVzfbAzEfcYhkG5F56nRI9HOTNlKmcmTHB7rYZlGzL+rvGcTThL/6X9ORl30q11\nxm8ZT1hQGM83f56lB5fy0m8vkZzqhyDIMODuf8Ntr8DmT+Gb/pB8xff7kGyKhgYxvmdT/tGpLj/9\ncZKuo5ez8+hFy9YvHhbElD4tGHb7jXy+9hCPT17DyYvuz6kSEZE0CqNEREREREREnGDYDCKaR5K4\n9zzJZ+wPuA8vVpybbruTnb//j9jz53y0QxHXGYZB5OuvU6xrF0599DFnZ850e63G5Roz4a4JnIo7\nRf8l/TkVd8rlNS4nXWbilon0uanPtUDqdz8GUre9CPf8B3bOgy97QpL9r33xDcMwGNC+Ol8MbE18\nUgrdx63g6/XWVaIG2AxeuLcOYx9vys6jF+kyZjmbD523bH0RkcJIYZQUWumt+rK240svfsh5SOm1\nugUVJhRwFrS5Mw3z6kyoq88p4+qyRtpjpmFe3/4t/XpZXvdobpPF1TyZ28nZ21OBrtzJ+IR6a3n7\nH2PQLCkRERF/imheHgyIXee4DVnT+7qRkpzM5qULfbAzEfcZNhsV33qLonffxYm33+H8nDlur9W4\nXGPG3zWeE3EniF4Szen40y6dXySoCIMaDQKgz019eK7Zcyw5sMR/gRSktevrPAr2LIVPH4bEy/7Z\nh2TTolopFoxoT7OqJXlhzlZe+mYrCUnWtdXr1LAC3w5tQ3CgjUcmrmLOhsOWrS0iUtgojBK5zvV3\n7bPPjZJCxdNZQebVQMo0MEzj2tsyZVDXtX8zrz838+vOzm2y+75YFErZa0WYdT8F4ksoa2CYW3CY\n0+NucvZjXCjCPxERkTwmoHgIoXVKEbvhOGZKqt1jS1WsxI3NWrJ56SKSEtXiSfI2IzCQiu+/T0S7\ndhx77XUuLHQ/RG1avmlGINV/SX+XAqkhjYbwcK2HM17vW78vzzZ7liUHlvDy7y/7L5BqHg3dJ8LB\nlTC7G8Sr4jGvKFs0hNn9WzHs9hv5Yt0hHhy/kpgzcZatX7dCMeYPa0eLaiV5/ustvDl/B0kOvv+L\niEh2CqNE3JD5vr4UcFlnBXnAMA0wSAsXrs6MMq6+nhE0mblfxJIAyOInr90ZR5nex3wta2CYOSh0\n9Loll1ellIiISF4T0SKS1EtJJOw66/DY5p26k3DpIjt/W+aDnYl4xhYcTOXRHxPWrClHX3yJS8v+\n5/Zazco3Y+ydYzkWe4wBSwZwJv6M22v1q9+PZ5s9y+IDi3nl91f8F0g1ehQemQnHtsDMLhDrWtWX\neE96W72pfZpz6GwcnUf/zk87HVewOqtkRDAz+7Wkf7sbmLHyAL2nruVsrGaIiYi4QmGUiIiIiIiI\niAtCa5fCVizYqVZ9lereROSNNdmw8DvMVP0kveR9trAwqkyYQGidOhx55hliV61ye60WkS0Yc8cY\njlw+woClAzib4DjAzU2/+v34W7O/8cOBH3hluR8Dqbpd4LHP4fRemN4RLh71zz4kR3fWLc/Cp9oT\nVTqcAbPW8+7iXSRbVMUUGGDjtc71eP/hRmyIOUeX0cvZcfSCJWuLiBQGCqOkUDNNM2N2VLbH0g7I\nYa6UhQN4JH9x51OftdWeaaTNi0r/ZQKZXs96Ts5LOm7d5rA6xgvVUW63ECwoPG3raHdp19v2qUpK\nRETEe4wAg4hm5Un48yzJFxLtH2sYNOvcnXPHjrBv4zof7VDEMwFFilBl8iSCq1bl0NBhxG3c5PZa\nLSu0ZPSdozl06RADlg7gXIL77e2i60fzTNNn+OGvH3h1+av+C6Rq3AU9v4GLx2BaBzh3wD/7kBxV\nKRXOnMFteKxlFON/2UevqWs5dcn+92pXPNisMnMG30yqafLg+JV8v0WBpIiIMxRGiWSjJnxihydP\nD+NaIJU5sHBnvpKj1m0uBVIWzjhytJ8CH5BY2NYx90s417ZP86RERES8K6JFJJgQt+64w2NrtWpL\nsbLlWP/9tz7YmYg1AkuWJGraVILKlePQoEHE79jh9lqtK7Rm9B2jibkYw4ClAzifcN7ttfo36M/T\nTZ9m0V+LeHX5q6Skpri9lkeqtYU+30HCBZjWEU7t9s8+JEehQQG8/UAD3nu4EZsOnaPTx7+z7oD7\nlXlZNaxcgvnD21G/YnFGfL6Jd37YRUqqhf3aRUQKIIVRIpBrdZSdM3AwLUcKOg/ChvRAKiOUItOY\nIcP5f7w6qpZxaYaUReFJenVX1v0YGIUvIPFzpVTGsW6EnSIiIuJYYKlQQmqWIHb9CUwHNyBtAQE0\n7diVI7t2cHyvblhL/hFYtixR06dhK1qEQwOeJHHvXrfXurnizXx8+8ccuHCAJ398kguJ7rc3G9Bg\nwLVAaoUfA6lKzaDvQkhNSmvZd3ybf/YhuXqoWWXmDm1LREggPSatZtsR69rqlS0awmdPtubxVlFM\n+HUf/Weu40J8kmXri4gUNAqjRERERERERNwQ0SKSlPOJJO5x3HaswR33EBIewfoFc32wMxHrBFWs\nSNVp0yAggJjo/lw5dMjttdpUasNHd3zEvvP7eHKp54HUU02eYuH+hf4NpCLrQ7/FEBgCMzrBIbXj\nzGvqVijGd8Pbcnfd8pyPszYsCg608Vb3BozsXp8Ve0/TbewK9py4ZOk1REQKCoVRInakz43C5cop\nKRRcnCFlkKlCxTDBMK+rjkpb03CrgsVedZTTlTEWV0elMzCyva3QVOvksbZ9heJjLiIi4kNh9Upj\niwgidq3jVn3BYeE0uPNedq9ZwYWTJ3ywOxHrBFerRtS0qZiJicT07UfSccfP+dy0q9SOD2//kL3n\n9zLwx4FcvHLR7bWebPgkI5qMYOH+hfxjxT/8F0iVqQH9foCwUjDrfvjrd//sQ3JVLDSI8T2bMrJ7\nffq0qWb5+k+0qspnT7bmUkIy3cetZOkO979GREQKKoVRIrly7u6xi3mEFDQuBA0Zbeoy/zk9kLq6\njmmYbocGjmY2Od22z8UntJHDL2eOyfct+1xtB54H2vYplBIREbGWEWgjvFk54v84S8qlKw6Pb9qx\nK4ZhsPGH+T7YnYi1QmvVosqUKaScP09Mv2iSz5xxe61bKt/CqNtGsfvcbgYtHcTFKxcxTZNP/i+Z\nolsPuLTWwIYDGdFkBAv2L+C1Fa/5L5AqWRWiF0OJKvDpQ7B7qfevefavtHlV4hTDMHiiVVXub1zJ\nK+u3qFaK70e0pXrZCAbO3sBHP+0hVXOkREQyKIwSucrR3KicH/diuYPkL57OkEr/dbVSyt3QwFEg\n4VQAlDlgcyZky+GXM8dn3lOhCUayVkp54f12p1Iqp49/ofmciIiIeCiiRSSkmsRucFztVLR0GWrf\n3J5ty5aSEHvZB7sTsVZYg/pUmTiBpGPHiOk/gJQL7rfZu7XKrYy6bRS7zu1iyI9DuHRoP8EpcMPY\nhS6vNbDhQIY3Hs73+7/n9ZWv+y+QKhoJfRdB2drwxeOw8zvvXm/uYIhZCce2evc6Bchnaw7S+u2f\n+WzNQa+sX6F4GF8NupkHmlRi1E+7GfLpBi4nJnvlWiIi+Y3CKBG70m7r2q81ELnK2UAqcxBhpr8p\nU0CT6XF3q4ecqZBxqm2fGyFb1rZ86X+2F5Q5CkYKJC+GUlkrpRyFUoUqEBQREbFYUNlwgm8oRty6\n45im45+Ab9a5O0kJ8Wz7eYkPdidivfDmzak8ejRX9u3j0MBBpFyOdXut26rcxvu3vs/OMzt5bcXr\nAKReusS5r75yea1BjQYxrPEw5u+b799AKqI09PkeKjWFr/vC5s+9d62UqxWZKdbOQSrIPl62l+MX\nEhi9bK/XrhEaFMD7jzTitc71+OmPkzwwbgUHTrv/dSIiUlAojBIRERERERHxQETLCiSfSSBxv+Mq\nkfI33EhU/YZs/GE+Kcm6gSz5U5H27aj4wfvEb9/O4WHDSE1IcHutO6Lu4L1b3yPmYkzaG0yT0+PG\nu7XW4EaDGdp4KPP3zeeNlW/4L5AKLQ695kK19jBvMKyb4p99SDZP3VGDCsVDGXFHDa9exzAM+re7\ngVnRLTl5KZGuY5bz2+5TXr2miEhepzBKxAW5tepT9ZRksFPpct3EJPPqSw6zlgyMbFVJ7rbsc1QV\n49R6LlTvZK2Kymkv9qqjCmWVjg/a9jmqlINCWp0mIiJikfD6pTFCA4ld69zA+madu3P57Bn+XLXc\nyzsT8Z5id99NxbffIm7tWg4//TTmFcdz03JzZ9U7eaX1y0DaTfwyQ4e4vdaQRkMY2mgo3+37jjdX\nvUmqmer2Wh4JjoDHv4JaHWHhc7DiI//sQ67zeKuqrHr5Th5vVdUn12tbowzzh7WjYokw+k5fy6Tf\n9jlVRSsiUhApjBLJJD1ssjc7SsShLOGCaZiuvWQOkTxs2eeoVZvTIZeTLfvszYvK3IrQsqCsIHGz\nLaLzyzs/S0r/NxIREXGNERRARNNyxG8/TUqs42qnGxo1o1SlKqxfMFc3JSVfK961K5FvvEHsr79x\n5O8vYia7PxunfaX2AMSF2vipsWf/KB7SeAhDGg1h3t55vLHyDf8FUkGh8OhsuOkB+PF1WDZS/9gu\nhKJKh/Pt0DZ0rF+Btxbt4ukvNhN/xU9VeyIifqQwSsShtDvEzlQ+efE+suRH6ZhFz5IAACAASURB\nVOFC1tftvWQcmilEMrOHUu7MkMotAHIp5MpcwePhk91RxY471WAFgoUf4+xLmw4/7pmpUkpERMR5\n4S0iIcUkbtNJh8caNhvNOnXj1IH9HNqx1Qe7E/Gekj0epdwLL3Bp8WKOvfY6ZqpnwU+qmcLELRM9\n3tfQxkPzRiAVEAQPToEmveC3/4MlryqQKoTCgwMZ83gTXri3Nt9vPcpDE1Zy+Fycv7clIuJTCqNE\nREREREREPBRcIYKgKkWJXXfcqWqneu1vJ7x4CdYvmOuD3Yl4V+n+0ZQZOpQLc+dyYuRb7lX8BQYC\nUOYiDK4bbcm+hjYeyuBGg5m3dx5vrvRjyz5bAHT5GFoNhtVj4funwYp5VkHhab/v/sHztcTrDMNg\n2O01mNqnOTFn4ug6ZgWr95/x97ZERHxGYZRIFqZp5jIb6trj2Vv5ebm/lhQMbjw9rqtiyfQ0c7dq\nyF5VjEvVUU485dPbDjqzJ3ttBAt1yz4ftu3LXAVlGIB5/YWzPS4iIiLZFGkRSfKJOK7EXHJ4bGBw\nMI3v7cRfm9Zz5nCMD3Yn4l1lRgynVJ8+nPv0U06N+tDl821hYRl/bjlqGakJCZbsa2ijoQxqOIi5\ne+fyz1X/9GMgZYMO70D752HjTJg7CFIct/W0q26XtN9/+y+sGuv5HsUn7qhTnnnD21IiPIieU9Yw\na9UBtWwVkUJBYZSIiK94ECzkNEfKk6DGUSDldOBgUVhi2WyrgshHbfswjWwzozK/rv8biYiIOBbW\nqCxGcACxa487dXyju+8jMDiE9QvmeXlnIt5nGAblXnqREg8/zJlJkzg9cZJ7CwUGErtyJYcGDyE1\nzvM2ZoZhMKzxMAY2HMi3e77lX6v+5b9AyjDgztfgzjdg29fwVR9ITnR/vaDQtN8rt4Qlr8D/3tY/\n3POJG8sWYd6wttxaqyyvf7eDF7/ZSmKy5kiJSMGmMErEaddu3+dePXXtmMJ4z1yc4GEgdV2VVPoM\nKawPpLwyR8qJLwxHlVuFNpTyQ6VUjseYhfzzICIi4oAtJIDwxmWJ33qK1IRkh8eHFyvOTbfewR+/\nLyP2/Dkf7FDEuwzDIPLNNyjWuTOnRo3i7OxPXF8kORlbsWLErV1LzMCBpFyOtWRfwxsP58kGT/LN\nnm/8G0gBtH8WOv4X/lwIn/eAKx6Gbg9NhcY94dd30kIpBVL5QrHQICb3bs7w22vw1frD9Ji0mhMX\nrakIFBHJixRGieTCXqs+EY9kDm/cOj1L2z7T80DKXvjgUus+yPn9Mlx7l3MLpNL3VChb96XzVaWU\no2ML++dBREQkFxEtIjGTUonbfMqp45ve142UlBQ2L13o5Z2J+IYREEDFt9+iyJ13cmLkSM5/861L\n59uKFqXcc89S6b3/Er9pM4cGDCDlkuPWlw73ZRiMaDIiI5D69+p/+zeQajUQ7h8L+3+BTx6AhAvu\nr2ULhK6jodUQWD0O5g+3ZiaVeJ3NZvD8vbUZ90RT/jx+iS6jl7MxRj+cICIFk8IoEREREREREYsE\nVS5CUIUIYtc516qvVMVK3NisFZuXLiIpUT8RLwWDERREpQ/eJ6LNzRx77TUuLl7s9Lllhg2l5COP\nUOy++6g06gPit28npv8AUi54ENak7+tqIDWgwQDm7J7Df1b/x7+BVJOe8OBUOLwOZnaFuLOunX9w\nZdrvW7+6OpPqbbj1Rdj0CcyJhuQr1u9ZvOK+BhX4dmgbQoMC6DFxNV+tO+TvLYmIWE5hVD5gGEbG\niyvHOnuOuC+36ikvd9OSgsDDJ0m2iqZM1VGuftnba40HLrZkM6++S5mPvVoV5ercIUdt4wp1VY4P\n2vYBDtv2gRtzxkRERAo4wzCIaBlJ0pHLXDly2alzmnfuRsKli+z4dZmXdyfiO7aQECqPGUNY48Yc\nef4FLv3yi8trFLvnHip//BEJf/xBTL9oks95XjFiGAZPNXmKAQ0G8PXur/0fSNV/AHp8Bif/gBmd\n4NIJ58/dfTXkWz0u7XfDgNtfgXtGws558MXjnrcAFJ+pE1mM+cPb0vKGUvz9m6288d12klL8+NwU\nEbGYwqg8zjCMjPlEzrSNy3ysqR7BHkv/mF/7uDszE8rDHmxSuHjQci1biGRmyicsnCEFDlqyGde/\n5PSdx8zhOGf35GiOVKEPQTx4Dhl2fjk69rotuDpnTEREpIALb1wOI8hG7NpjTh1fqc5NRN5Yk42L\n5mGm6sajFBy28HCqTJxAaK1aHHnqaWJXr3F5jaJ33EGVMaNJ3Ls3LZA662L1UA7SA6n+9fvz9e6v\nGbl6pH8DqVr3whNfw7mDML0DnHeyKqZWh7TfWw+9/u1thkOXj2HvT/DpQ5Bw0dr9iteUCA9mRr8W\nPNn+BmauOkjPKWs4cznR39sSEbGEwqgCKj1AUSAlkodkDWMsyiyzBlJWzZBythrJmXfJinfbXiBV\n6EMpNyulTDu/cnvc4ZqqlBIREcEWFkhYgzLEbT5F6hXHc1sMw6B5lwc4d+wo+zas9cEORXwnoGhR\nqkydQlBUFQ4NHUr85s0ur1Hk1lupPH4cV/76i5g+fUg+fdrjfRmGwdNNnya6fjRf7f6Kt9a85d97\nKNVvhd7zIPYMTO8IZ/Y5Pqdqm7TfGz6S/bFmfeChqXBoDczqmrau5AuBATZe7VSPUY82YvOh83Qd\ns4LtRzxvUyki4m8Ko0REREREREQsFtEyEjMxhfitp5w6vmbLNhQrW471C7718s5EfC+wZEmipk4j\nsEwZYgYOIuGPP1xeo0jbtlSZOJErh49wsHcfkk6c9HhfhmHwTNNn6Fe/H1/++SUj14z0byBVpSX0\n/R6S4tICqRM7PVuv/oOZWgDeBxedq9aUvKF7k8rMGdyGVNPkoQkr+W7zEZ/vIe5KMtVeWshr87b7\n/NoiUvAojBJxQ+YChOyt/K4dkXvTMylUTBdfrGixZ8EMKWdb42Vu0Waa2d8Fgyzvoouzo7LuzV7V\nVqGvkAKP2vY5t7xp9/MAatsnIiICEFy1GIFlw4hde9yp420BATTteD9Hdu3k2N4/vbw7Ed8LKl+O\nqtOnYQsPJ6b/ABL373d5jYjWrYiaPInk48c52LsXScc8D1cMw+BvTf9Gv5vySCBVoRH0XQQYaQHS\n0U2erVfrXnhiDlw4DNPuhbN/WbJN8Y0GlYszf3g7GlQqztNfbObtRX+Qkuq75+e5uCQAfv7DhVlm\nIiK5UBgl4kD2eV2aCSVe5uZTLFtAYHoe0DjTGu86RnpIe/2xRpZjPOEoDFEIQvZw08uhlN3j1LZP\nREQKKcMwiGgRyZWYSySdiHXqnAZ33E1IeATrF8zz8u5E/COoUiWipk8DwyCmXzRXDh92eY3w5s2p\nMnUKKWfOcrBXb64c9rxaxDAM/tbsb/S9qS9f/vml/1v2lasD0T9AcFGY2RUOrvJsvRvaQ+/5kHgx\nreLq5C5r9ik+UbZoCJ8OaE3P1lFM/G0/faev5cLVkEhEJD9RGFUApc+KcvYfTulVPZlfxDXZAysR\nD7lZJZVbQJBRseRmpZSjGVIZL+Rc9ZQeSBlpC1o2K8uZvRV6HlTcObe8/TljkL1SSp8XEREpLMKb\nloMAw+nqqOCwcBre1YE9q1dw4aR+Cl0KppAbbiBq2lRSExKI6RdN0gnXn+vhTZoQNX0aKRcvcrB3\nL64cOuTxvgzD4Nlmz9KnXh+++PML3l77tn8DqVLVIXoxFCkPs7vDvmWerVe5WVrFlZmaFkh5WnEl\nPhUcaOM/3Rrw9gMNWL3/DF3HLmf3iUv+3paIiEsURomIiIiIiIh4QUCRYMJuKk3cppOYSalOndOk\nQxcMm8HGRd95eXci/hNauzZRkyeRcuYMMf2iST571uU1who0oOqM6ZixcRzs2YsrBw54vC/DMHiu\n+XP0qdeHz3d97v9Aqngl6PcDlL4RPnsUdi30bL3y9dICrpAiVyuuVlqzT/GZx1pG8fmTrYlNTKH7\n2BUs2eHcDzuIiOQFCqMko6on84s4x3GxgeZGiYc8bNmXda2MIhmLKq7g+qoXu2tkPsbCuUbOzLcS\nXP6Ym4bzfxdknTPmTJWUKqRERKSwiGgRSWpcMvE7Tjt1fNHSZajd5ha2/e9HEmIve3l3Iv4T1rAh\nlSeMJ+nIEWL6DyD14kWX1witV4+oWTMxk5I42Ks3ifv2ebyv9ECqd73efL7rc95Z+45/75MUKQt9\nvofIBvBlL9g2x7P1SlWHfouhaCTMfgD2/GTNPsVnmlcrxYIR7ahRrgiDZm9g1I+7SfXyHKnjFxP4\nbM1Br15DRAo+hVF5XHrrt/SXrP8AUls438k+Nyp7FKVWfeIVbs7+ybGF3dW13AmkMq+Z7roWfUaW\nt6Vv2cjlJf3dsbBtnzOtBAu1rLOkvHIJ025AmHGcQikRESkkQm4sQUCpUKdb9QE079ydpIR4tv60\n2Is7E/G/iJYtqTz6YxL37uXQsOFurRFauzZVZ83ENE0O9u5Dwu7dHu/LMAyeb/48ver14rNdn/Hu\nunf9G0iFl4Le30HUzfDNANgw07P10iuuytSEz3vADs2py28ii4fy5aCbebBpZT76eQ+DPtnApQTv\nzZFKNWH0sr1eW19ECgeFUfmAvYolZ98m/nTtlqzut4pH3AgRcp2rlCkIcH0b19ZL/3aTuToqt7fl\n9njG+2ZhIJXjzCwP3ucCycLqtNwvkftMr4xjFEqJiEgBZ9gMIlqUJ3H/BZJPxzt1Trlq1Ymq34hN\ni78nJVlD6qVgK3LLLVR67z0Sr4ZIp8eO5dxXX7m0RkiNGlSdNQsjIICY3n1I2LXL430ZhsELzV+g\nZ92efPrHp/zfuv/z7/2WkKLwxNdQ4074/ilYNc6z9SLKpFVcVWoGc/rBpk+s2af4TGhQAO893JDX\nO9dj2a6TdB+3kr9Ox1p6jSIhgRl/rlW+CClersASkYJNYZSIC7JXPiloEj9wI7jJLZRyNwRwVPni\n1roWhSO5BnCe7K2g8mGllNr3iYhIYRbRLBJsELvOteqoy2fP8Oeq5V7cmUjeUOzee6gwciQAqZcu\nc3rceJfXCKl+A1Vnz8IIC+Ngn77Eb9/h8b4Mw+DvLf5Oz7o9+eSPT/wfSAWHQ4/PoG4XWPIyrJ/m\n2XphJaDXt1D9NvhuGKx2/eMu/mUYBtHtbmB2dEvOXE6k65jl/PLnSQvXv/bnX3efpv/MdVyI1w9J\niIh7FEaJiIiIiIiIeFFAsWBC65QmdsMJzJRUp86p1rgZpStHsf77b9X9QgqFEt27UebppwgoX54y\nQ4e4tUZw1apUnT2LgIgIYvr1I37LFo/3lTWQ+u/6//r3azIwBB6aAQ17wDHP3z+CI+CxL9ICrsUv\nwa//53ggsOQ5bWqUYf7wdlQqEUa/GesY/8s+S5+n/+hUl5Hd67Ni72m6jV3BnhOXLFtbRAoPhVEi\nFss850vEa9ysIsqposmT9nUmJpg5V7zktq5h2Pm/jYWVOvaqt9SyLwdebtvnziwpERGRgiSiZSSp\nl5NI+OOsU8cbhkGzTt04dfAvYrZbcMNZJB8oO2QItX79hZKPPOL2GsGVK1P1k9kElChBTHR/4jZu\n9Hhf6YHUE3WfYPbO2by3/j3/BlIBgdBtPLQYAIFhEFzEs/XSA65Gj8P/RsLSfyiQyoeqlArn26Ft\nuK9BBd5dvIunvthM/JUUy9Z/olVVPn+yNZcSkuk2dgVLdzhf7SsiAgqjRHwk7far/VuwIi7yILjJ\nKRDwJJByFPykt16zG0RlX9iSYMSZln2FloH9ACrr4xaFVc627cv8vBEREcnvQmuVJKB4MJfXOn/z\nrm672wgvXoINC+Z6cWciBU9QxYpU/WQ2gWXLEjPgSeLWrfN4TcMweLHFizxe53Fm7Zzl/0DKZoNO\n78OLf0FoMc/XCwiE+8dCy0Gwagx8/zSkWhdkiG+EBwcy5rEm/L1DbRZsPcqD41dy6GycZes3r1aK\n70e0pUa5IgycvYEPf9pNquZIiYiTFEaJuCh75VP2oMk0zRzmS4l4kcWBlOFk4GBk+ZXT2wwMMA27\n59h9v3xQJVVoQw/TzoujYz2+9PUhpr3qukL9ORIRkQLDsBmEN48kcc85ks8lOHVOYHAwTe7tzF+b\nN3D60EEv71CkYAkqX56oWTMJqlCBmCcHErtqlcdrGobBSy1fygik3l//vn8DqQ0zYHTTtN+tYLNB\nx3fhlhdg40z4ZgCkaD5QfmMYBkNvq8G0Pi04dC6O+8euYOW+0x6t+dHPe/hsTdrfQxWKh/HloJt5\nsGllPvxpD4M+2cClBD1PRMQxhVEiIiIiIiIiPhDRvDwAsetPOH1Oo3vuIzA4hA0L53lrWyIFVlC5\nclSdNZPgqCgODR7C5d+Xe7xmeiD1WJ3HmLlzJh9s+MB/gdSv78LFo2m/W8Uw4I5/wN3/gh3fwhdP\nQFK8deuLz9xepxzfDWtLyfAgek1dy/QVf7n9XL2UkMzoZXszXg8NCuC9hxvyRpd6LNt1ku7jVvLX\n6Virti4iBZTCKBGfSSsnUKs+8Ro32trl1MIuoxIFx2uZV0tkMle5YOT8tvR1sz7urfctt/3mVIWT\ntQJHrsraCtJLHxtn5knpcyQiIgVBYMlQQmqWJG79cUwn2xqFFS3GTbfeyR+//4/Y8+e8vEORgiew\ndGmiZs4guHp1Dg8dyqX//c/jNQ3D4OWWL9Ojdg9m7JjBqA2j/BNI3foiFKuY9rvV2j4NnUfBnqXw\nyUOQcNH6a4jXVS9bhHnD2nJ77bL88/udvDBnKwlJrrdfLBoayIg7alz3NsMw6Nf2Bmb3b8mZy4l0\nHbOc//150qqti0gBpDBKxA3OtuFTqz7xOTfa2uUWAjgbSGVb72rglBH5ZJkTlTmQcm1hLAlFnJ1x\nJVn4IJRKu0zuM74yjlHbPhERycciWkSScuEKCbudD5aadbqflJQUNi9Z4MWdiRRcgSVLUnX6NEJq\n1+bwU09z6aefPF7TMAxeafUKj9Z+lOk7pjNqo58CKW9qHg0PToGYVTDrfog76+8diRuKhgYxqVdz\nnrqjBnM2HObRSas5fsG5drHpnr6zJo+3qprjY21uLMP84e2oUjKc6BnrGPfL3oL3tSAillAYJWIJ\nVT1JHpM5NHDySekwkMplndzCg4zKJ/P6txsY18+mcpVFc6TS9+hojpRk4cNKKXuhlCqlRES8zzCM\nDoZh/GkYxl7DMF7K4fFRhmFsvvqy2zCM8/7YZ34TVrcUtiJBxK497vQ5JStUokbzVmxeuoikRNdu\nIIpImoASJYiaPo2wevU4/MzfuLh4icdrGobBq61eTQuktk/nw40f+vYmvDfa9GXV4CHo8Smc2AEz\nOsEl5793Sd5hsxk8e09tJvRsyp4Tl+gyZjkbDloXLlYpFc43Q9rQuWFF/m/xnwz/fBNxV5ItW19E\nCgaFUSI+d+32t+6fildlbbHm1Ck5t+3LeL7m8sTNWmmUOczJ2hovo7Wf6WHo40bglvMyuQdSCjrs\nsDAUzP0SjkMpUHgoIuINhmEEAGOBjkA94DHDMOplPsY0zb+ZptnYNM3GwGjgW9/vNP8xAm2ENytP\nwq4zpFy84vR5zTp3J+HyJXb88rMXdydSsAUULUqVqVMIa9iQI889x4UFCz1eM71C6pFajzBt+zQ+\n2viR7wIpb7bpy6x2R+g5B87HwLQOcO6gd68nXtOhfgXmDm1LWFAAPSat5ou1MZatHRYcwMc9GvNS\nxzos2naMB8at5NDZOMvWF5H8T2GUiIiIiIiIZNUS2Gua5n7TNK8AXwD32zn+MeBzn+ysAIhoEQmp\nELvhhNPnVKpdj8gatdiwaB6pqa7P+xCRNAFFihA1eRLhTZty9O9/5/y8eR6vaTNsvNr6VR6p9QhT\nt0/l400f+yaQatYXnv0j7Xdvu+EW6P0dxJ9LC6RO7fb+NcUrakcWZf7wtrSuXpqXvt3Ga/O2cyU5\n1ZK1DcNg8K03Mr1vC46ej6frmOWs3HvakrVFJP9TGCXiAc2NknzDxeqorNVCGVVCmddysF76Oelr\nOjrOo5Z9HlboZK3eyrq/nOYTFfgva2f/72xRhZr9S5h2P0dgQaWdiIhkVQk4lOn1w1fflo1hGFWB\nG4BluTw+0DCM9YZhrD916pTlG82PgsqEEVK9OLHrjmOmOveXrmEYNO/cnfPHj7Fvw1ov71CkYLNF\nRFBl0kQiWrfi2MuvcH7OHM/XvBpIPVzrYaZsm+K7QMqXKjeHvgshNRmmd4Cjm/29I3FTifBgpvdt\nwcBbqjN79UF6TlnD6cuJlq1/W+1yzB/ejrJFQ+g1bS1Tl/9V8L4eRMRlCqNELOVsC7604zRjSnzK\nxTk/uc6QMrK07XNwTtphhsOWax4HCRYEUjkFcel7U9s+O7KGgl4Kpux9jjKOUSglImKVnL6L5nYX\nqQcwxzTNHMt1TNOcZJpmc9M0m5ctW9ayDeZ3ES0jSTmbQOJ+50dt1WzZhmJly7NhwVwv7kykcLCF\nhVF53Dgi2rXj2D9e49wXX3i+pmHjH63/wUO1HmLKtimM3jS64N2Aj6wP0YshKBxmdoGDq/y9I3FT\nYICNV+6ry4ePNmbL4fN0Hb2cbYcvWLZ+tTIRfDu0LXfVLce/F+zkua+3kJCkyl6RwkxhlIiH0iuf\n7FU/OXOMiE9kDQwcHu4gmIHrwwcDTMO0+zbTMDGNnEMpjwMfi+dIZd5fxgysXPanL++rLKpWc3wZ\n1yql9DkTEXHZYaBKptcrA0dzObYHatHnsrCbymALDyR27XGnz7EFBNDsvq4c2bWTY3v+9OLuRAoH\nW2golceOocjtt3P8zX9ydtZsz9c0bLzW+jUerPkgk7dNLpiBVOkb0wKpIuVgdnfY+5O/dyQe6Nak\nEt8MaQPAQxNWMm/TEcvWLhISyPgnmvHs3bX4duMRHpm4iqPn4y1bX0TyF4VRIiIiIiIiktU6oKZh\nGDcYhhFMWuA0P+tBhmHUBkoC+tF4FxlBNsKblCN+xxlSYpOcPq/+7XcTEh7BelVHiVjCFhxM5Y8+\npOjdd3Hirbc4M22652saNl6/+fWMQGrM5jEFL5AqXhn6LYYyNeCzHrAz218Rko/Ur1Sc+SPa0ahK\nCZ75cjMjF+4kOcWaOVI2m8FTd9Zkcu/m7D8VS9cxy1l34Kwla4tI/qIwSkSkMHKhcsVha70c1jVM\nI8c/Z7yQ82yq69b1pDrKojlSmfeXudIm6/8jc3qb4HJrSNeXv75tn70KKbVYFBFxjWmaycBwYAnw\nB/CVaZo7DMP4l2EYXTMd+hjwhVng7rL6RkTLSEgxidt4wulzgsPCaXhXB/asWcmFk85XVYlI7ozg\nYCp98AFFO3bg5P/9H6cnTvJ4zcyB1KStkxi7eWzBC6SKlIU+C6BSU/i6D2z+zN87Eg+UKRLCpwNa\n0fvmqkz+/S/6zVjHhTjnf1jCkbvrlWfesDYUDQ3isUmr+WT1QcvWFpH8QWGUiOVyngdlmmZGu770\n43KfsCPiI06GBXaDo8xLZLTIM6+1Rsv055zapTkKpDwKECxoFZd1fxmhhmlc17pPcuGDWVJpl7Ef\nSoHjtn0iInI90zQXmaZZyzTNG03THHn1ba+bpjk/0zFvmqb5kv92mb8FlY8gOKoosWuPu3STuknH\nLhg2g42LVIkgYhUjKIhK//0vxbp04dSoUZwa43l4lB5IPVDzASZunci4LeMs2m2auXvm0mBmA2KT\nYi1d1yVhJaDXXLjhVpg3BNZ4HuSJ/wQF2PjX/fV554EGrN5/hocnWFv4XKNcUeYNa0v7mmX4x7zt\nvPztNhKTNUdKpLBQGCVigexBk0g+4maVVMYN/0z/PzOuvm5yfUVK5pes52ReN9v1rKho8TAIyQjU\n7Mwnyhq26VtBDnw4S8rZSikREZG8IKJlJMmn4rly8KLT5xQtVYY6bW5h27KlJFy+7MXdiRQuRmAg\nFd95m+Ldu3N6zBhOffSRJYHUGze/Qfca3ZmwZQLjNlsXSH3151cA7D+/37I13RIcAY9/CXU6ww8v\nwG//1T+487keLaP4YuDNpHjh81g8LIgpfVow7PYb+XxtDI9PXsPJiwmWX0dE8h6FUSIiIiIiIiJ+\nEtawLEZIALFrXWu516xzd5ISE9j682Iv7UykcDICAqgw8j+UePhhzkyYyMn33rMkkHqzzZt0r9Gd\n8VvGWxpI5RmBIfDwTGjYA5b9B358XYFUPtesakkWjGjHA00qcfONpS1dO8Bm8MK9dRj7eFN2Hr1I\nlzHL2RRzztJriEjeozBKxCtcacGnVn2SR7hQHZVb2z6T9BZ2ZK9EclCZ5HA2lafVUW5W5WStojEx\nwTSyHWPvdckij7TtA1WziYiI/9mCAwhvXJb4badJjU92+rxy1aoTVb8Rm36YT0qydTM9RAQMm43I\nf75Jyccf4+zUaZx85x3LAqluNboxfst4xm8e7/E+zyacBeDnmJ89XssSAYHQbTy0GAArP4YFf4NU\ntWDLz8oXC+WDRxtzU8XiXlm/U8MKfDu0DcGBNh6duJqv1h/yynVEJG9QGCXiY2rnJ3maiyFBRiBl\npr0Y6b8bYKS/bpAWB2R63N56jmZIeczJOVn29mZe7TOY0UYQ47r2b/oSd0LWgNBbwZRhXt9mMXP4\nlOW5qFaLIiLiLxEtIjGTUonbfNKl85p3eYDL587y58rfvbQzkcLLsNko/9prlOzdi7MzZ3Hi3//G\nTE31aE2bYeOfbf7J/Tfez7gt4xi/xbNA6mR82veMuXvmerSOpWw2uO89aPcsbJgO3w6EFAXm+dln\naw7S+u2f+WzNQa+sX7dCMeYPa0eLG0ry9zlbeXP+DpJSPPtaE5G8SWGUiIUUNEmB4GIVUXowk/5n\n0zDTKoOuhgBphURmxotzW8h5RlN60OPxl5kbVVLp180IpDIFHCbmdXtSIOUiL86TyggJr/5KD07T\ng6gcZ5qJiIj4WHDlogRVjCB27XGXqi+qNWpK6cpRrP/+W4+rNkQkO8MwOLFkNwAAIABJREFUKP/y\ny5TqH825zz7n+BtvWhZIdb2xK+M2j2PClglur1UurBwA3Wt292hPljMMuOsNuOtN2D4HvuwFSZoJ\nlF99vGwvxy8kMHrZXq9do2REMDP7tWRAuxuYsfIAvaau4czlRK9dT0T8Q2GUiFflXOORHlpdC66u\nHaf715KnuBrYYGScc12VUKawwZVAKqdKKUurj5yokroWOKUfnv3g9MczB2gKpNzkZuWa88tf+5Xj\n46pwExERP4loGUnSsViSjlx2+hzDMGjWuRunYg4Qs22LF3cnUngZhkG555+n9OBBnP/6a469+g/M\nFM9azwXYAvhXm3/R9caujN08lolbJrq1TqnQUgDcWuVWj/bjNe3+Bp3eh92L4dOHIPGSv3ckbnjq\njhpUKB7KiDtqePU6gQE2/tG5HqMebcSmmPN0HbOC7UcuePWaIuJbCqNERERERERE/Cy8cTmMIBux\na4+7dF7ddrcTXrwE6xfmoTZdIgWMYRiUe+YZyowYzoW5czn64kuYyc7PeMtJeiDVpXoXxmwew6St\nk1xeo2bJmgC88OsLnE8479F+vKbFAHhgEhxcCbO6QdxZf+9IXPR4q6qsevlOHm9V1SfX696kMnMG\nt8E0TR6asJLvNh/xyXVFxPsURolYLHvVk0g+50KlSk61gCbXV5ikz5FybQs5rGtldZSd9/Faezdy\nrewyDTPt/cp0TuY96tuBixx8TqyUUzvIjG3o8yciIj5kCw0krGFZ4jafIjXR+aqLwKAgmnTowoHN\nGzgdc8B7GxQRyg4bRtm//Y2LCxZw5IUXMJM8m4UUYAvg323/TZfqXRi9abTLgVTDsg0BOBF3gr6L\n+3Ii9oRH+/Gaho/Ao7Ph+FaY0Rku5dF9Sp7RoHJx5o9oR8NKJXj6i828vegPUlLVjlYkv1MYJeIn\npmlmmTGVdrs9p7Z+In7nQjhgYl4LnK626Mt2U9+NoMFeIGV5KGWHYRoZgVT6HCzDNJxqK6hQw0U+\nCKVy+7xlPK7Pn4iI+FBEy0jMKynEbz3l0nmN7u5IYHAI6xfO89LORCRdmUEDKff3v3Pph8UcefZZ\nzCtXPFovayA1eetkl9d4q91bHI87Tu8fenPgwgGP9uM1dTrBE1/DuQMwvQOcj/H3jiSPK1MkhE8G\ntKL3zVWZ+Nt++k5fy/k4z77eRMS/FEaJeJ3mQUkB4iAcyLhhfzWgMUwj+0389MoiJ8Of6y9vZqti\nsTwsyPz+5fCSW2VU1mNyCs4Uargp6/POxTlmuf3K+nhOr2dsQZ8/ERHxgeCoogSWC3e5VV9Y0WLc\ndNtd7Fr+C7Hnz3lpdyKSrnR0P8q/+iqXfvyJw089TapFgVTn6p35eNPHTNk2xanzNpzYAMDJuJNM\nu3caCSkJ9Fnch51ndnq0H6+pfhv0ngdxZ2BaBzi9x987kjwuONDGv+6vzzsPNGD1/jPcP3YFfx7X\n7DGR/EphlIiIiIiIiEgeYBgGES0juXLoEknHY106t1mn+0lJSWHT4gVe2p2IZFaqV08i33yDy7/8\nwuFhw0lNSPBovQBbAP9p+x86Ve/ERxs/ciqQ+vXwrwB8svMT6pWux8wOMwkNCCV6STTrjq/zaD9e\nU6Ul9F0IKVfSAqljW/29I8kHerSM4ouBNxN/JYXu41awePsxf29JRNygMErEC7K34BMpYLJUNaW3\nqzMzPZT+Nkzj+reTpbLExTZsubVUs7RyJfNms76eU5vqrI+bObcVzLpPcdF1TyJnT8n9l6PHnWnb\np8+jiIhYLbxJOQgwXK6OKhlZkRrNW7Plx0UkeXhTXEScU7JHDyqM/A+xy5dzeOhQUuPjPVovwBbA\nyLYjue+G+/ho40dM3TbV7vG3Vr4VgJ71egJQrXg1ZnWcRWR4JIN/HMzPMT97tB+viWwA/RZDYGja\nDKmYNf7ekeQDzaqW5PsR7ahVviiDP9nI+0v/JFVzpETyFYVRIn6WdW5U7rewRfKgrKFAbqGMaVwX\n5OQ4Q8qNUMonYU/W9/HqHKyMx+wEIzm1Fcy8TwUZHnCzbZ9rl7D/+VOwKCIi3hAQEURY/TLEbjyJ\nmZTi0rnNO3cn4fIldvyaR29AixRAJR58kApvv0Xs6jUcGjSY1FjXqhqzCrAFMLLdSDre0JEPN37I\ntO3Tcj22WflmAHSu3jnjbeUjyjOz40zqlK7Ds788y9w9cz3aj9eUqQHRiyGiDMzuBvv+5+8dST5Q\nvlgoXw5qzSPNKzN62V6enLWeiwlJ/t6WiDhJYZSIF10LmtJuaSpkkgIp0w8iOTObJ+O0nCqZ3Kh6\n8UnY4ygocxBI5bZPzSDyUNZKKS98HO19/jKOUaWUiIhYLKJlJGZCMnHbz7h0XsXadalQozYbFs4j\nNdW1IEtE3FeiWzcqvvsucRs2EPPkQFIuX/ZovUBbIG+1e4uO1ToyasMopm+f7tL5xUOKM/nuydxc\n4WZeX/m6y+f7TIkqaYFUqerw2SPwh9qMimMhgQG8+2BD/nX/Tfy6+xTdxq5g3ynPvuZExDcURomI\niIiIiIjkISHVixNYOpTYta7NxDAMg2adu3P+xDH2rVfbKxFfKt6lM5Xef4/4rVs51H8AKRcverRe\noC2Qt9qnBVIfbPjA5UApPCic0XeMpkO1Dnyw4QM+WP8BppkHW5oVKQd9F0CFRvBVb9jyhb93JPmA\nYRj0vrkanwxoxYW4JLqNWcHPf5zw97ZExAGFUSJ5QPb5UtcakOmH7CU/uTY7ys4cHjP3Cqlrb8St\nGVK5VR5ZwtG8Igf/r8ttn5bOuirM3Gn1aDj/n3FHFVJq2yciIlYyDIPwFpFc+esiSafiXDq3Zsub\nKV6uPOsXzPPS7kQkN8U6dKDyh6OI37mTmOj+pJw/79F6WQOpGdtnuHR+UEAQ77R/h0drP8r0HdN5\nY+UbJKcme7QnrwgrCb3mQbW2MHcQrJ3svWsdWKGWgAVI6+qlmT+iHVGlwxkwaz1jlu3Jm6GriAAK\no0RExEpOtNlLD6tyCmWytexzYSaQvbDH8qDHg3/bZt7ndW9XkGENH7fts9ciUgGjiIh4IqJZebAZ\nxK5z7Se9bQEBNL3vfo7+uZOju3d5aXcikpuid91F5dEfk/jnnxzsF03yuXMerZceSHWo1oH3N7zP\nzB0zXTo/wBbAq61eZXCjwczdO5fnfnmOxJREj/bkFSFF4PGvofZ9sOh5+P0D71xnxn1pM6qkwKhU\nIow5g9vQtVFF3lu6m6GfbiQ2MQ+GriKiMErE2zLPjSLHW9DXH2fozqUUBE6EATmFMtkCGUfVSO6u\nawUPA4/cvhuoSsoiPgql7H0eFTCKiIgnAooGE1q3FHEbTmAmp7p0bv3b7yYkIoINC+Z6aXciYk/R\n226j8rhxXNm/n5jefUg+49r8t6wCbYG83f5t7q12L++tf8/lQMowDIY1HsZLLV9i2aFlDPlpCJev\n5MEZO0Gh8MgsaPAI/PxP+PGNtH9QizgQFhzAh4825tX76rJkx3EeGLeSg2di/b0tEclCYZRInpV2\nizO38Eokz3MyRMqtSijbDXwXAimX1vWEh4GHvfaCCjEs4uVQKu0SqpQSERHviGgZSWpsEvF/uHYj\nOzg0jIZ3dWTP2lVcOHncS7sTEXuKtG9HlYkTuHL4MAd79yHp5EmP1gu0BfJO+3e4p+o9vLf+PWbt\nmOXyGk/UfYK327/NphObiF4SzZl4z0IyrwgIgu4ToXk0rPgQFj4Hqa4F8lI4GYbBk7dUZ2Z0S45f\nTKDrmBX8vueUz/dhmiYJSSk+v65IfqAwSkRERERERCQPCq1ZkoASIcSudT1QatKhM4bNxoZF33lh\nZyLijIjWrYmaNJGkY8eI6d2HpBOutd3MKtAWyDu3vMPdVe/mv+v/y9w9rlc/dq7emY/v+Ji/LvxF\nn8V9OHr5qEd78gqbDTp9AG2fgfVT0+ZIpST5e1eST7SvWZbvh7cjslgofaatZdJv+3w6R+rfC/6g\nzmuLOX4hwWfXFMkvFEaJ+IBa8Emh5sTsJ3tVTNd92bhY4eL0up7yoPomt1lXoOooS2X9HFn8cVXb\nPhER8QbDZhDRvDyJe8+TfNa1m1pFS5WhTttb2L7sRxIu58F2XCKFRHiLFkRNmULyqVMc7NWbpKOe\nhT9BtiDeveVd7q56N1tPb3VrjfaV2zP5nsmcTThLrx96sffcXo/25BWGAXf/E+58HbZ9BV/1gSQL\nb+5vmGHdWpLnRJUO59uhbbj3pkjeWrSLZ77cTPwV31QrbYxJmxN39EK8T64nkp8ojBLxuWu3KrN1\nITPNTDOm0o61N2dKJM8xcnlxQk6BTI43710Mfpxe1wouzre6/tScgwy1ePOQo+dibs9ZDz7WrrTt\nExERcSS8eSQAsetdr45q1qkbSYkJbPnpB6u3JSIuCG/ahKjp00g5d46DvXpz5fBhj9ZLD6TqlqoL\nwJKDS1xeo3G5xszoMAPTNOmzuA9bTm3xaE9e0/45uO89+HMhfPYIJFoUrv/6rjXrSJ4VERLIuCea\n8vw9tZi/5SgPTVjJkfMKiET8SWGUiIh4znTxxU6FlEszpJwMpVxa1woWz5FSVY0H7D0PHR3r0WWd\nq5RSKCUiIo4ElgghtFZJYtefwExx7S+octWqE9WgMZsXf09KslpcifhTWMOGRM2YTsrly2mB1MGD\nHq0XZAvKmPnkzvwogFolazGr4yyKhxTnyaVPsuLICo/25DUtn0ybI3VgOczuDvHnPF+z9RDP15A8\nzzAMht9Rkym9mxNzJo6uo5ezen8enJUmUkgojBIRERERERHJwyJaRpJ68QoJf551+dwWnbtz+dxZ\ndq34zQs7ExFXhN10E1VnzsBMSOBgr94k7v/Lo/UGNx5M+fDyDGo0yO01KhetzKyOs4gqGsXwZcNZ\n/Ndij/bkNY16wCMz4dhmmNEFLp90c6GrPwm2dgqc3mPZ9iRvu7NueeYNb0vx8CB6TlnDzJUHfDpH\nSkTSKIwS8ZHrW/Cl/ay8mUvZxPWt+kQKIAeVQzm1Ocu1KsiF1ng+r46yYI5UtsdUHWWtrBV7XvjY\n2mvbpwopERFxRmidUtiKBhG7zvVWfVUbNaVMlapsWDBXN95E8oDQOnWImjkDMyWFg717k7jX/XlN\nd22B0a8d4YGK93m0pzJhZZjeYTqNyjbi77/9nS92feHRel5Ttws8/iWc3QfTO8L5Q66vUf02sAVC\nUhxMvRtiVlu9S8mjbixbhHnD2nJb7bK8MX8HL36zlcRk6+dInbmcCMDSHa7/nS1S0CmMEvEz5+49\n5j5nSiTfcrJlX+ZQxu5NexcDqZyCLq+HUi6faj+QUnhhMS+GUmrbJyIinjACbEQ0iyRh11lSLiS6\ndq5h0KxTN07FHODgts1e2qGIuCK0Vi2qzp6FYRgc7N2HhD//dGudMxMmAnB60kSP91Q0uCgT7prA\nrZVvZeSakYzfMj5vBtg33gG95sHlUzCtA5x2I8yr2BT6/wjhpWFmV9gxz/p9Sp5ULDSISb2a89Qd\nNfhq/WEenbiaExcTLL3G8avrfbXejbBUpIBTGJUPGIaR8eKN4yVvSq+O0udRCjwnbv5nDaTsVkm5\nMEMqt3W9PkfKhfVzq6rRDCkv8mGlVLbHFEqJiEguIlqUBxNi159w+dw67W4jokRJNiyY64WdiYg7\nQqpXTwukgoOJ6d2H+B07XF4j6WTa94MLc76xZE+hgaGMun0UXW/syrjN43hn7TukmqmWrG2pqFbQ\ndwEkJ8D0DnB8u+trlLohLZCq2AS+7gurxlq+TcmbbDaDZ++pzYSeTdl94hKdRy9nw0EL5pBd1TSq\nJABnY5PYGGPduiIFgcKoPM4wjIz2bs60bnP1ePG9zK36cq97yPHMjNZ++qxKgePEzf+sXy1Ote1z\no3WfV8OArC3hnD4t96qazHvVt3yLZX0uWfjxzfz5dCaU0udWREQCS4cRcmNxYtcfx0x1rVohMCiI\nxvd25sCWjZyOOeCdDYqIy4KrVUsLpCLCiekXTfy2bS6dH1SuPADFH3rQsj0F2gL5d9t/07tebz7b\n9Rkv//4ySalJlq1vmQoNod8PEBAMM+6DQ+ucO+/iUTi2CTbMgPBS0Hse1OsKS16BH16CVOvbtkne\n1KF+BeYObUtYUAA9Jq3ii7UxlqzbvUklAIICDB6duIpZqzSfSiSdwigRERERERGRfCCiZSQp5xJJ\n3Hfe5XMb3d2RwJAQ1i9UOyqRvCS4ShWqzZ5NQLFixPSLJm7TJqfPDShVCoBid91l6Z5sho3nmz/P\n002fZtFfi3hq2VPEJ8dbeg1LlK0F0YvT2u3Nuh/2/+r4nHMHICUJfn037fWgMHhoBrQeBmvGw1e9\nISkPvq/iFbUjizJ/eFtaVy/NS99u47V527mSbE014Pcj2tG+Zlle/24Hz3y5mbgryZasK5KfKYwq\n4JS8i0i+4sQcKadnPblQgZRThYrX2+BZOEcqfa9q2+ciZ/+KdLOizbmlnauQ0udWREQAwm4qgy08\nkNi1rg9FDytajPq33cUfv//C5XNnvbA7EXFXUKVKVP1kNoGlS3Oo/wDi1q93bQEv3PsxDIMBDQbw\nxs1vsPLoSgYuHciFxAuWX8djJaKg32IoWRU+fRh2LbJ/fMlqEBAEt7547W02G3R4Czq8A7sWps2R\nij3j1W1L3lEiPJgZ/Voy6JbqzF59kJ5T1nDqkmvzGXNSPCyIKb2b8/w9tZi/5Sjdxq5g36nLFuxY\nJP9SGFUAaWZU3ufsPCi1W5RCy0Eg5dKsJxfnSOXWBs8r3JxL5Ci80LcML/JT2z5Q2z4REQEj0EZ4\n0/LE7zxDyuUrLp/f9L77SU1NYfOSBV7YnYh4IigykqhZswiMjCTmyYHErlnr8JzA8uUAOPH2O6Qm\nJHhlXw/Veoj3bn2PHWd20HdxX07GnfTKdTxStDz0XQiR9eHLnrD169yPLVYRKjSBZn2zP9Z6CDwy\nC45vhal3w9n9Xtuy5C0BNoOX76vLRz0as/XIebqOWc62w56HrzabwfA7ajIruiWnL1/h/jEr+GHb\nMQt2LJI/KYzyUG6BQuZAyNdBgmZG5TeuzY1y7XiRfMzBTX+XZj25UyWV5aZ/5tedfXH6/XQjlMot\nPAMvzrySNFkrpfwwS0qho4hI4RXRMhJSTOI2un5DuGRkRWo0b82WpYtI8tKNaxFxX1D5clSdNZPg\nypX+n737jm+q7h44/vkmXbSlFGihzJYpW1bZiAOUraAyZMtUARf68/Fxb31cbFA2MhURmQqCLNlT\nkamUvXdbOnN/f7QpaWjaJrlpkva8+8qrbXLv956SdHDPPedwauhQYjdvznZ7Q2AgALf37uVkv/6k\nXHFNNU+byDZMbD2Rs7Fn6buyLydv6jNbR1eBxaDvEohsBj8Ohh1Ts97OcmZUVmp0hr4/w+1rMKUN\nnLazSk14tUfrluGHYc0wKMUTk/7gx92n7V5j2/G078Of9pzJuK9llXCWjWhBpRLBPDNnNx8u/5vk\nVH3aAQrhTSQZJYQQQgghhBBCeAnfEoH4RYYQt+O8Q23ZG3bqSkJcLH+tX+OC6IQQzvIJC6P8zJn4\nRUZy+plnid2wwea2sb//DoChcGESDh8mpnsPEv91TTVP41KNmfbINOKT4+m7si+Hrh5yyXGc4l8Y\nev0AVR+B5S/Bpq/u3sZ6ZlRWyjeGgavBPxhmdExr3ScKjFplivDz8ObUKx/KSwv38f6yv0mxI3H0\n26G0i0Wmb47JdH/p0EIsHNqEvk0j+XbjcXp9u42LN+XCEFGwSDLKQeaKJ3MFkvVjltVJnl6hZF3F\n5cmxFlSe/hoSwmVymNVj96ynXLZY09BAU2k3MlejWH+e1c28jUNfqxMt+/J05pVIk0ezpHKqgLN+\nnqUyTggh8regRhGkXLpN0vGbdu9b5p7qlKpyD7uW/4TJlOqC6IQQzvIpVozyM6bjX7kyp58bzq21\na7PcLvj++wEoPnQIkbNmYrp9m5gePXPV4s8RNcNqMqPdDHyNvgxYNYCd5z2wasg3ALp/B7UehzXv\nwG/vZf7PWVYzo7ISVhkGroGSNdJa/23/1pVRCw9TPNif2QMb079ZFFM3Haff9O1ci8tde9yHqqW1\nzxzQPOqux/x9jLz3aC2+7l6XP8/coMPYTWz7V+aTiYJDklHirsSZI1fXCfs5l6hMO0UpRIGSTULK\nVlLKZkIqFwkE87pouVxXL0607Mtu5pUkJlzMxbOksmvJKIlHIYQoeArVDkMFGInbcd6h/Rt27MKN\nC+f5Z8c2nSMTQujFp2jRtIRU9eqcHvk8N3/59a5tAhs2BKBIp04UqlOHqAUL8AkP5+SgQVz/6SeX\nxFWxSEVmt5tNeGA4w9YMY93JdS45jlOMvtD127S5UBu/gJWvgim9siW7mVHWgsOh31Ko2hZWjIJf\n37yzjsj3fI0G3ulck8+eqMOO49foNG4TB8/lfBFI4wrFAXisXhmb2zxWrww/Pdecwv4+PDVlG99u\n+FfOx4oCQZJROrKsltKLOVlha23rREZO2wtPdec0o61ziZbPrZmcdxQFTjaJmqySUjmeoM8mIWWd\n3MpUoaKlz5Sy8WadwLKbE/OIbCWkJCmVB7KaJaVzYiq3lVJCCCHyN4OfkcC6JYj/8zKm+GS796/c\nqClFSpRk57LFLohOCKEXY0gI5adOoVDt2px56SVurliR7fZ+ZcsQNW8ugQ0acO61/3Bp7DiXnBeK\nCIpgZtuZVAmtwou/v8iSY0t0P4bTDEbo+DU0Gwnbv4Elz0Jqiv3r+AWlVVpFD4I/xsCPgyAlUf94\nhcfq1rAcC4Y2ITnVRNcJf7B8/zld1r0nojBLhjenTfWSfLjiIM/O2c2tBPt/pwvhTSQZJYQQQggh\nhBBCeJmgRhGQYiJ+z0W79zUYjNRv/xhnjxzk7JGDLohOCKEXY+HClPv2WwLr1ePMqFe48fPP2W8f\nEkL5byZTpEsXLo8fz9n/+z9MSblrL2aPogFFmfLIFKIjonlj8xvMPDBT92M4TSlo8x48+Absmwff\n94NUB/4tDEZo/3naWn8tgtld4PY1/eMVHqte+aIsHd6C6qUK89zc3Xy26hCpJucTvYUDfJnYuz7/\nbV+dX/++wKPjNnP4/C0dIhbCM0kyygtk1z7P1n3Sbs97yDwoIeyUQ9WQdUuzHKtFcmj/Z/4YlX4z\nP6aRcZ/58bv2cZaDFVJZtS0EaeeWp3LZDtL+ZXPXtk8IIUT+51c6GN+ywcTtOO/Q//1qPdAa/6Ag\nqY4SwgsYg4Mo981kAhs14uz/vcb1RT9mu73y86PURx8S/sLz3Px5KaeeHkjq9eu6xxXkG8T4h8bT\nJrINn+/8nNG7R3veuSil4L5XoN1ncGgZnNjs+DrNn4fHp8LpHTD1Ebh+Ut9YhUcrERLAvCFN6Nmo\nHBN+/4eBM3dw47bzlUxKKQbfV5E5gxpzMyGFx8ZvZsneMzpELITnkWSUEF4r59Z+QuRruUhKWSak\nsk3C2NFWza519eJAUiOnhIUkpPKQO9r2aRbtJOW5FkKIfCsoOoLk8/EknbL/Kmq/gELc27odx7Zv\n5foFx2ZPCSHyjiEwkHKTJhLUrBnn/vtfri1YmO32SinChg2j9Oefc3vfPmJ69CTppP7JEz+jH/+7\n7388WfVJpvw5hXe3vEuqKVX34zit8VB4bCIoQ9rNUbWfgD6LIfY8TGkNZ/fqF6PweP4+Rj7uWocP\nHqvFpqOXeWz8Zo5d1KeSqUnF4qwY2YJaZUJ4fv5e3l7yF0kpMqNM5C+SjNKJeT6Tx10BIrxI2mnF\nrE8dp2+R/hqTSiohLGSTqLFOxuSYkMpiLfMaloknW0ke84l/XaqibMWoY5VUdokK+TGjMxdVSmVU\n7Kn059nGc2q+X5JTQgiRvwTWDUf5GYjb7lgyqV7bTiiDgd0rPHDeixDiLoaAAMpOGE9wq1acf/tt\nrkyZCsCNpUtt7lOkYwfKz5hO6rVrxHTvQfzuPbrHZTQYebPJmwypM4RFRxfxyoZXSHKkHZ6r1X0K\n+vyU1rbPGVEt4OlfwegH09vD0dX6xCe8Ru8mkcwd3IRbCck8Nv4Pfj2gz0UdJUICmDu4CYNbVmDm\nlhN0m7yFs9dv67K2EJ5AklEOskwK2EoMmB8zJ6qEsMXxBNOdBJYQBV4OCalct+2zXEvdvYZ1Qsp8\nH5rKm0opB1r3WVZJWSfncvXvIfTlQFLR5lKaxQ0toyIqy8flTxEhCiSlVGel1NdKqdFKqcfdHY/Q\nl8Hfh0J1wrm9/xKmxBS79w8uVpzqLVrx17rVJMTGuiBCIYTeDP7+lB07huDWD5GcXul0deasbPcJ\nbNCAqAXzMYQU5mT//txcsUL3uJRSjKg3glejX2X1idU8+9uzxCXH6X4cp1VsBRVaOr9OiWowaA0U\nrwRzu8MuD5yZJVyqUYVi/Dy8BRXDgxgyexdfrzmCSYc5Ur5GA//tUIMJvepz7GIsHcduYtPRyzpE\nLIT7STJKCCGEEEIIIbyUUqqTUmqDUqpVFo9NBxYDI4ERwEKl1KK8jlG4VlCjCLQkE/H7Ljm0f4MO\nj5GcmMC+NSt1jkwI4SrKz4+yX32Ff80aABQfNDDHffyiooiaP5+AWrU489LLXJ78jUsunO5Tow8f\ntfiIned3MvCXgVxNuKr7MTxG4QgYsAIqPQBLR8LaD+QKsAKmdGghFg5tStd6Zfh6zVGGfbeLWAcu\nDslK+9qlWDK8OcWD/OgzbRvj1h7VJdkl8ocDG88w47XNHNjoXfPFJBnlJHOFVFa/wLN7TIispZU8\n5FTplFUllRQ1CIHNihPr+Ul2VTClr6cpDU1paR+T+T6FynjM/Lg3zZEy/5rKLmapnNKZdYWbTv++\n5ufY5uNW1XDyvAqRL3QG6gPbLO9USnUE+gHxwAfA/wH/Ao8ppXrmdZDCdfzKFcanZKDDrfrCIysQ\nWacee1YtJTXF+UHsQoi8oXx9qfD991T+fR3F+/XL1T4+RYtSfvpfBFkKAAAgAElEQVQ0Qjp04NJX\nX3HuzTfRkvX/vu9UqROjHxjNsevH6LeyH+diz+l+DI/hXxh6zod6fWDD/2DxMEjxwBaFwmUCfI18\n0e1e3upYg98OXeTTVYd0W7tSeDA/PdecTnVK8/mvRxg8ayc34uV3tYAdy2OIu57IjhUx7g7FLpKM\nEsJD5f78YO4SWEIUGNm0sXNohpTV50pLyzYpq22UpjJuOa6tJwcSGjklpJQio9Vbxhwsua7CNVw1\nSypdVvPCIHPrPklICeH1GgFbNE1LsLr/adJ+ugzQNO0tTdP+B7QEEoBeeRyjcCGlFEGNIkg+HUvS\nWcda7TXs8Bhx165yaPMGnaMTQriSMhjwjYiwax+Dvz+l//cZxZ8Zxo0fFnFq6FBSb93SPbZW5Vox\nuc1krty+Qp+Vffj3+r+6H8NjGH2h81h44A3YPx/mPAEJN9wdlchDSimeblGBWU83IsjfBwCDTv/R\nCvL3YXSPurzbuSYbjl6i47iN/HVGXl8FXXSHKIKK+hPdPsrdodhFeUjVjkcEURDJPCvPYq520jRQ\n2V7bntVzp3LcR4gCSXHXb5lMCSm07JMt5v0t/o5UmspcaWV1AMvvRvPfn3n2ozaLr9f2pnfHb/33\nsvyKyGOW//65+LfPKtGUG3e9Zi2Wkefcq0lqsQBSSl0AFmuaNszq/sukvSbCNIs/GpVSC4HmmqaV\nydtI0zRs2FDbuXOnOw6dr5nikzn70TaCoiMo+mhlu/fXNI1ZrwwHpej72VgH59kKIbzN9UU/cu7t\nt/GvEEW5SZPwLaP/r4bDVw8zdPVQUrVUJjw0gdrhtXU/hkfZOw9+Hg5h90Cv76GIW37dCjc6dTWe\n9Ucu0atxed1/n+46cY3n5uzmanwSHzxai27R5XRdXwhHKaV2aZrWMKftpDJKCCGEEEIIIbxXUSDT\nQA6lVHmgGLBJu/vKs+NA8TyKTeQRQ6AvgbXCiN9zEVNSqt37K6Vo0LELl0/GcOLPvS6IUAjhiUIf\n70r5Kd+SfP4Cx3v04Paff+l+jHuK3cPsdrMJ8g1i4K8D2XJ2i+7H8Ch1e6Yloa6fhCmt4bz+/6bC\ns5UrFkjvJpEuubCjQWRRlo9sQXRUUV5dtJ/XFu0nIdn+3/vC+62edoAJz6xl9bQD7g7FLpKMEsIj\nOTY3SgiRhSxa9mkWbwqVaYaOzf0t2qlpykbpSMbMKAfnU+nBnnZvSoP0mVcKlTlGqzZ95sdlzpCL\nWbfty+HfWrPxZutxm+tI2z4hvNktoKzVfQ3S3++xsY91Sz+RDwQ1ikBLSOX2n5cd2r9a81YEhRZl\n59IfdY5MCOHJgpo0IWreXAx+/pzo04dbv/2m+zHKhZRjdrvZlC1clmd/e5ZfY37V/RgepdKD8PSq\ntI+nt4N/1rk3HpGn5m47QZOPf2PuthMuWb94sD+znm7M8AcqM3/HKZ6Y9Aenrsa75FjCcx3ZfgFN\nS3vvTSQZJYQH0TQtU5LJvpn2MjdKCJuymcljmZCymZSyTgykf57pBL9lworMCSnIvLbLT/bnNpFh\nTkCYvw4tmx2UlilhIfKAHUmp3C95Jwmb3TwpSTwK4VX+BDoopYIt7utC2k+QTVlsXwHIx5PkCy6/\nCkXwCStE3I7zDu3v4+tLvbadOLF/D5dOxugbnBDCo/lXrkzUgvn4V63K6eEjuDpzpu4jHcIDw5n+\nyHRqh9Vm1PpRLDy8UNf1PU5ELRi0BoqUTZshtXeeuyMSeWTM2mOcv5HA2LXHXHYMo0Ex6pF7mNK3\nISeuxNNhzEbWHvKupIRwjtFHZXrvLSQZJYQXMyeuLCukdDxnKUT+Y3li36pSynxiPtuklK21bG6i\nZTrhn6fVJ44kMlR6QsqclNLuTqYJN3DgudSUZruCj7urA+96XCqlhPAmc0hr1bdeKTVSKTUO6AWc\nBzJdiq3S/mhsAfyd51EKl1NKERQdQVLMTZIvOnaFdJ027fDx92fXsp90jk4I4el8wsKInDmDwq1b\nc+HjT7jwwYdoKSm6HqOIfxEmt5lMy7IteX/r+3y7/9v8Pce8SJm0CqnI5vDTMFj/P7myrwAY+WBl\nShUJYMSD9s9wtFfrGiVZPqIlZYsG8vSMnXz562FSTfIaKwhadq9KUFF/Wnav6u5Q7KI85Ie+RwRR\nECml8vcvfi9153mxLMOwvS1g8TzmvI8QIp25minTXSpTO7PcnIi/67svi2+/jISU1dp59iPYxtdq\n/zppi8ivDjfK1E4xh21y+TxlquLLYifz94E87x5PUocFkFLKACwHHuFO6joZ6KVp2g9W27YGfgWe\n0zRtYl7HCtCwYUNt586d7jh0gZAam8S5j7cT3LQ0oR0rOrTGb9MmsX/NKgaPn0Zw0WI6RyiE8HSa\nycTFz7/g6rRpBLdqRZkvv8AQFKTrMZJNyby1+S2W/buM3tV780r0KxhUPr5ePiUJfh4B++dD/b7Q\n4Usw+ro7KpGPJCSn8uZPf/H9rtO0rBLG6B71KBbk5+6wRAGilNqlaVrDnLbLxz/phRBCCCGEECJ/\n0zTNBHQA+gCTgA+AxtaJqHRhwGjg57yLUOQlY7AfhWoUJ373BbQUk0NrNGj/KCZTKntWLdU5OiGE\nN1AGAyVffYWIt98iduNGYvr0IfnCRV2P4Wvw5cMWH9K7em++O/gd/930X5JNyboew6P4+EGXSXDf\nK7B7FszrAYmx7o5K5CMBvkb+9+S9fNK1NtuOX6XjmI3sOXnN3WEJFxo/bC3jh611dxh2k2SUEB7I\ncm4UZH+Zs/WcqdzsI4RIl8UcqaxmPZnf35mxZPHevI7l51keKvOsHvOaeTaXJ4s2b1oWbxmPWbV4\ny9git20MhetoFjedZ0nl1LZPZkkJ4Zk0TTNpmjZH07TnNE17S9O0vTa2m69p2ouapp3J6xhF3gmK\njsAUn8LtA1cc2j80ohRVopuyf/VKkhMSdI5OCOEtivbsSblJE0mOOUFM9+4kHDqk6/oGZeDV6FcZ\nUW8Ey/5dxgvrXuB2ym1dj+FRlIIH34BOo+GfdTCjPdxybMafELb0aFSeRcOaYTAouk3ewuwtMdIR\nS3gUSUYJIYQo2LJJSGWclNfUnZPwKJSm7rw3f2zxeU5zpCxP+OfpXJ4cZg+ZWxSak1KZWgpa7SDz\nhDyEjTlozi155/Vv63mX514IITyXf+VQjKH+xO1w/CRnw05dSIiL5a/fV+sYmRDC2wTfdx+Rc+eA\npnHiqV7Ebtyo6/pKKYbUGcKbTd5k4+mNDFs9jJtJN3U9hsdp0B96zofLx2BKG7h02N0RiXymdtki\nLBvRghaVw3hzyQFeWriP+CR9578J4ShJRgnhodKqndJnytg12SXtbLMmtVFC5F4WJ/RtJY1Q6Y8o\n65oi7e71sj3k3RVYeXZyP6uklMp6VlDGV6dsV8xIpYybWVdK6fBc5FQpBVIpJYQQnkoZFEHRESQe\nu07KFceqDEpXrU6pqtXYtWIJJlOqzhEKIbxJQLVqRC1cgG9kJKeGPcO1+fN1P0a3e7rxWavP2H95\nPwNWDeDy7cu6H8OjVH0YBiyHlASY2gZiNrs7IpHPhAb6MbVfNC+1qcpPe8/QZfwf/HtJWkMK95Nk\nlBBCCCGEEEIIkY8ENiwJCuJ2XnB4jYYdu3DjwnmO7diqY2RCCG/kW7IkkbNnE9SiOeffeZcLn36G\nZnJsLp0tbaPaMv6h8Zy6dYo+K/pw6tYpXdf3OKXrwaA1EFwSZj8Gf2Y16lEIxxkMipEPVWHmgEZc\nvJVA53GbWfXXOXeHJXS2etoBd4dgF0lGCZFPyNwoIZxkYw6PZVVQWhs7iyoQlfmmKe3OrKVctE/L\nboZUnrfts1XNpe48bqt9m8yRciOr12COjztQOXVX20rLx6RtnxBCeCSfIv4E3FOMuJ0X0FIdmxVR\nOboJRUpGsHPZYp2jE0J4I2NwEOXGj6foU09xdfp0zjz/Aqbb+s54ala6GVMensKt5Fv0XdmXw1fz\neQu7opHw9C9QpiEsGgibR98ZWiyETu6rGs6ykS2pFB7EsO928/GKg6Sk6ptMFu5zdIfjFx65gySj\nhMi3pFWfEA7Lot1ZRssyTaWdeDdvZ3nLap0sElyZN9Eynex3y8l9y/isWvdZf23ZtW+TpJQbWL8G\nc/NadOD/t9av05xaNsrzL4QQ7hfUKALTrSQSDl11aH+DwUiD9o9y7sghzh45qHN0QghvpHx8KPnm\nG5T8z2vcWrOGE/36k3JZ35Z6dcLrMLPtTAzKwIBVA9h9Ybeu63ucwGLQZzHU7AKr34IVo0Daowqd\nlQktxMJhTendpDyTN/zLU1O2cfFWgrvDEjqoEl3S3SHYRZJRQngwTdMyZkeZT/tmd37PXB1lWSEl\n5wOFcJCNJJL5hLzdSZcc5khlleBxeUIqN5Uy2VTW2JonJJUyHsR6lpSTz0lOs6SkUkoIITxHwD3F\nMIT4EbfjvMNr1Lq/DQFBwVIdJYTIoJSiWL9+lB07hsQjR4jp3oPEY8d0PUal0ErMbjeb4oWKM3T1\nUDac3qDr+h7HNwAenwbNRsKOKbCgNyTFuzsqkc/4+xj54LHafNntXvafvk7HMZvYEePYBSvCc5Su\nEuruEOwiySghhBBCCCGEECKfUUZFUIOSJBy+SsqNRIfW8A0IoE6bdhzdvoXr52XOhBDijsKtWxM5\nezamxERiej5F3FZ958uVDi7NzHYzqRhakZFrR7L0n6W6ru9xDAZ4+H1o/zkcXgkzO0LsJXdHJfKh\nrvXL8tNzzQn0M9Ljm61M2fgvmrSH9FpbFv/j7hDsIskoIbyQufopq5sQQmdZ/E1mWR1lVwWIk3Ok\ndOdIe7cs2vbZat0m1TEexLplpA7Pi7TtEyL/U0q1VUodVkodU0q9ZmObbkqpv5VSB5RSc/M6RpG9\noOgI0CDeieqoeo90xGAwsmvFEh0jE0LkB4Vq16LCgvn4RpTk5KDBXP9R3yrKYgHFmPbINBqWbMjr\nm17nu7+/03V9j9RoMHT/Di4cgKmt4Yp3nWgW3qFaRAg/j2hB6+ol+GD5QZ6bu5vYxBR3hyUc4G2J\nRElGCeElzK36NFTmPkiWNyxb+6UNe5G5UULoxCKJpBSgMieNlMrlOX4750hBHrY9y2JGVG6+qJzm\nSElCwsPomJSyt22fvAaE8B5KKSMwHmgH1AB6KqVqWG1TBfgP0FzTtJrAC3keqMiWT7EA/KuEErfz\nAprJsZMVwcWKU71FK/76fTW3Y2/pHKEQwtv5lilD5Ny5BDWK5tzrr3Nx9GhdT44G+QYxvvV4Wpdv\nzac7PmXsnrFOrX/46mEOXDmgW3wuUb0j9FsGibdgSms4td3dEYl8KCTAl0m9G/CfdtVY9dd5Oo/b\nxJEL8nve2zTrWtndIdhFklFCeClzYsryZotOF8ELUbBZJJE00k+wp7+hpVdJpW/iUKVUlg/n4Qwp\ncyLKOr4cEmfWrCu7QOYIeSw3VEpJUkoIr9IIOKZp2r+apiUB84FHrbYZDIzXNO0agKZpF/M4RpEL\nQdERpF5PJPHoNYfXaNCxCymJiexfvVLHyIQQ+YWxcGHKTZ5MkSce58rESZx95VVMSUm6re9v9Ofz\nVp/zeJXH+Wb/N7y/9X1STakOrfXE0ifosayHbrG5TLloGLgaCoXCzE5wMJ+3KRRuoZRiaKtKzBnU\nhJu3U3h03GaW7D3j7rCEHWq2LOPuEOwiySghvFZu+mulbZdTskoIkTPLk+xKSyuDylQZlX6/Sk9M\n2ZWQyqFKyvLYLkvo5HRxoZ0JqaySUiAJqTyT3a8FW9vm0EIyd0tlXykFkpQSwouUAU5ZfH46/T5L\nVYGqSqnNSqmtSqm2WS2klBqilNqplNp56ZLMv8hrhWoUxxDkS9x2x1v1hZePIrJOPfasWkpKcrKO\n0Qkh8gvl60up998n/MUXublsGScHPE3KNceT4NaMBiNvN32bgbUG8v2R73l1w6skpeqX8PJIxSul\nJaQiasOCPrB1krsjEvlU00rFWT6yBTVLh/D8/L288/MBklJM7g5L5MKBjd6VPJRklBBCCCGEEEII\na1mli63T3D5AFeB+oCcwRSkVetdOmvaNpmkNNU1rGB4ernugInvKx0BggxLcPniV1FuOn7ht2LEL\ncdevcWjzeh2jE0LkJ0opwoYOocyXX5Dw55+c6NGTpBMndF3/hQYvMKrhKH498SvDfxtOfHK8Q2t9\nf+R73eJyqaAw6PszVOsAq/4PVr0OJkkSCP2VDAlg3pAmDGxRgRl/xNDjmy2cu3E7T47d9usNNP5o\nTZ4cK7/ZsSLG3SHYRZJRQniJtDlQd2ZH5W77zNvJBehCOE6zekvrzqel3cxv6Z87VMGUTbs062oT\nt81hsrN6RuZIeRnrtow6VEnltm2fEMIjnQbKWXxeFjibxTZLNE1L1jTtOHCYtOSU8DBB0RFg0ojb\ndcHhNSLr1COsfBS7lv/kdcOyhRB5K6R9e8rPmE7qjRvEdO9B/K5duq7fr2Y/3m/+PtvPb2fQr4O4\nnnDd7jUm75usa0wu5RcI3WZBo6GwdTz80B+SE9wdlciHfI0G3uxYg/FP1efw+Vt0HLOJzccuu/y4\nh87f4sLNRJcfJz8qU+Wu68A8miSjhPBScu5OiDymsrhZP5Yuq6RRruRiho/l2i49mW+786fMkSoI\nHHies14mcyLVVlJKkpNCeKQdQBWlVAWllB/QA/jZapufgAcAlFJhpLXt+zdPoxS54hseiF9UCPE7\nzjucSFJK0bBjFy6fjOHE/j06RyiEyG8C69cnasF8jKGhnOw/gBvLl+u6/mOVH+PL+7/k8NXD9FvV\nj/Nx9rUiHXrvUF3jcTmDEdp9Cg9/CH8vgVmPQvxVd0cl8qkOdUqxZHgLigb50WfqNsavO4bJJBei\neKIzR+1PxruTJKOEyMfuVEelnVGUuVFCOCirEW05jG2zTho5nJTK8uHMJ/bdNn/Hjgqa3MyRkkSE\nh8ohQZr7ZbJ/DUhyUgjPomlaCjAc+AU4CCzUNO2AUuo9pVTn9M1+Aa4opf4G1gGvaJp2xT0Ri5wE\nNYog5UoCif/ecHiNas3vI6hoMXYuW6xjZEKI/MovMpLIeXMJuLcOZ18exeVJk3WtrHyw/INMajOJ\nC/EX6LuyL8dvHM/1vnXD6+oWR55RCpoNhyemw9ndMPVhuJr7r1kIe1QuEcyS55rToU5p/vfLYYbM\n3smN2zI30tNIZZQQQgghhBBCCK+nadoKTdOqappWSdO0D9Pve0vTtJ/TP9Y0TXtJ07QamqbV1jRt\nvnsjFtkJrB2GCvAhbod91QOWjD6+1HukIyf27+HSCTkBKoTImU/RopSfNo2QTp249PXXnHvjDbRk\n/U5oR0dEM/2R6SSmJtJvZT8OXD6Q7fah/mknbnuv6M3ak2t1iyNP1eoKfZdA3CWY2gbO6NsGUQiz\nIH8fxvSoyzudavD74Ut0GruJA2cdv6hF6C/mT9e3UdSTJKOE8CKapmXMjnK0ykkuOBfChawqmiyr\nQByukMqmOspyHpPbqkrsbOdmqzpGqmI8nM6zpPRo2yfVdEIIYR/laySwXji3/7qMKd7xE8F12rTD\nx9+fXct/0jE6IUR+ZvDzo/RnnxL23HPcWPQjJ4cMIfXmTd3Wr168OrPazSLQN5Cnf3mabee22dy2\nWEAxDMpAqH8oz697nsn79K3WyjORzWDgavAtBDM6wuFV7o5I5FNKKfo3r8CCoU1ISjHRdcIffL/z\nlEuONXfbCZesm58pL/tPsSSjhPASSqmMW8Z9Nu63ZG7VZ27XJ636hMgDVgkpW0kpu9aykQCwXNty\nTpVbONi2L9P90rLPs1knH51ITNl6DcDdbfvk9SCEEPoIalQKUjTidl90eI1CwYWp/cDDHNy0ntir\n0pVRCJE7SinCRwyn1CcfE79zFzFPPUXS6TO6rR8ZEsmsdrMoHVyaZ9Y8w5oTa7Lc7vSt05g0Eymm\nFDpW7Mi4veMYtX4U8cnxusWSZ8KrwsA1EFYV5veEHVPdHZHIxxpEFmPZyBY0iCzKKz/s5z8/7ich\nOVXXY4z57aiu6xUEkbWKuzsEu0gySggvoGlkPjOXXh2V8WD6LbcX8+gw+kMIkROrk/VZJaXsniFl\no/pIs3izXNstJ/AdqJSyTKaBJCG8RlaJKYeWufs1kOlxeT0IIYRu/EoF4VuuMHE7zjtVCVC//aNo\nJhN7flmmY3RCiIIg9LHHKD9lCikXLxHTvTu39+/Xbe0SgSWY0XYGNYrX4OX1L7PoyKK7tilbuCy+\nBl+G1R3GRy0+4uUGL7Pm5Br6ruzL2dizusWSZwqXhP7LoXJrWP4SrHkHTCZ3RyXyqbBgf2YPbMyz\n91di3vZTPDlpC6eu6pfIDSvsL3Op7HTm6HV3h2AXSUYJ4SU0VKab+T7Lx4UQHiaLxIzTSaMckjyW\na7v9BL6drfusq2SkdZ8XsSMBmfXuWb8GMm3jCa9pIYTIB4KjI0i5EE/SyVsOrxFaMoLKjZqwb/UK\nkhJu6xidEKIgCGrciKj58zAUKsSJvv24uXq1bmsX8S/CN22+oWnppryz5R2m/jk1U/K9ZGBJahSv\nwZNVn0xrP1arP+MeHMfZ2LP0XN6TXRe8cP6SfzD0mAcN+sOmr2DxEEhJ1G/9uCtg0rcCRngvo0Hx\nattqfNu3ITFX4ug4dhPrDjtecQ3QvHJadc/Bc7doP3ojO2Ou6hFqgRDdPsrdIdhFklFCCCGEEEII\nIUQBUejecJSfkbjt551ap2HHLiTGxfHXuqxbYQkhRHb8K1YkasF8Au65hzMjn+fKtOm6zW4K9A1k\n7ANjaVehHV/v/povdn6R7doty7ZkToc5hPiFMOiXQXx/5Htd4shTRh/o+DU89Bb8+T189zjc1qFi\nIuEm/K8iLOzr/FoiX2lToyTLRrSgdGghnp6xgy9XHyHV5Nj3sEEp6pUP5YdhTTEaFN0mb+HrNUdI\nSZUqv/xGklFCeAUti5utbbJ4RNMyZkeZ6yakkkqIPGZVNeJUBVMObdGcmlGlNztnC+U0R0oqYjyc\nTrOkctO2TwghhGMM/kYC64Zze/8lTAkpDq9Tump1Sletzu6VSzDJFfNCCAf4FC9O+ZkzKPzww1z8\n7DPOv/ceWorjP5cs+Rp9+aTlJ/Ss1pOZf8/kzc1vkmKyvXaFIhWY02EOjUs35r0t7/HB1g9INnlZ\nuzCloOXL0OUbOLkVprWF66ecWzPhRtr7s3udj0/kO5HFg/jxmWZ0rVeWMb8dpf/07VyNS3J4vXrl\ni7J8ZAserVuGr9ccpee3WzlzXSqws7NjRYy7Q7CLJKOE8FJa+twoc2LJkXN+ck5XiDyWxRwph5NG\nOczqsW55ll/mSEnbPi+Q1SwpO58z67Z9CpUpIZl2bYUC7e77JWkphBA5C4qOQEs2Eb/3klPrNOzY\nhRsXznNsx1adIhNCFDSGgADKfPUlxQcN5Pq8+Zx69llSY+P0WVsZ+E+j//Dsvc+y5J8lvPj7iySm\n2m5fF+IXwvgHx9O/Zn8WHF7A0NVDuZZwTZdY8tS93aH3Irh5Bqa0hnP6zeUSwlohPyOfP1mHj7vW\nZtu/V+k0dhP7TjlelVc4wJevutfly2738vfZm7T7egMr/jynY8T5i7TpE0J4LMvqKPPpXiFEHrM6\nUW99wt2hKqkcklIeUyWVFlCuEhTZzRBy+9cgci+rxJTdS6S9mZNP1pVRlolKy5sQQgjbfMsG41sq\niLgdzrXqqxTdmNCSpdi59EedIhNCFETKYKDEqFFEvPsucZv/4ETv3iSfd+7nU8baSvFM3Wd4vfHr\nrD+1nt0Xd2e7vdFg5OWGL/NRi4/Yd3EfPZf35Mi1I7rEkqcqtoKnfwGDEaa3g2PSUlW4jlKKno3K\n88MzTQF4ctIWvtt6ItetN8/fSOCvMzeYu+1Exn1d65dl+ciWVAgL4tk5u/nPj/uJT9KnclK4jySj\nhBBCCCGEEEKIAkQpRVCjCJLPxJJ0JtbhdQwGI/Xbd+bc0cOcOXxQxwiFEAVR0e7dKDdpEsmnThHT\nrTsJB/X7udKzWk8+afkJBmXg7yt/5zgXqlOlTsxoO4Ok1CR6r+jNbyd+0y2WPFOyBgxaA0WjYE43\n2POd42vdOge7ZugVmcin6pQNZdmIFjStVJw3fvqLl7/fx+2knFv5nrgaT3Kqxti1xzLdHxUWxPfD\nmjGsVSXm7zhFp7Gb+PvsTVeF75WkTZ8QIs+YW/WZ2/VJqz4hvIxFtYhlFZBDFUzZtMGzVX3lNg62\n7ct0n8yR8j46VUjZmiUlhBDCPoH3hoOPgbjtzrW+qXV/GwKCgtm1bLFOkQkhCrLgli2InDsHDAZi\nevUmdv163dZuX7E9oX6hJJuSmbxvco7b1w6vzfyO86kcWpkXfn+BifsmYtJMusWTJ0JKw4CVUOE+\nWPIcrPvYsTYCWiqs/1T/+ES+UzTIj+n9o3mxdVUW7zlDlwmbOX45+9abkcUC8TUqRjxY+a7H/HwM\nvNauGt8NbMythBQeG7+ZaZuO57rqKr+TNn1CCI9mbtWn5OytEJ7BKinjdNIomwSPdcLLIxI5drTt\nkzlS+YRebfuEEEI4xRDoS2DtMOL3XsKUi6uWbfENCODeh9tzdMcWrp+XmQ5CCOcF3HMPUQsW4BcV\nyalnnuXq3Lm6rT28/nBKBpZk6L1Dc7V9icASTG87nc6VOjNh7wRGrR9FfHK8bvHkiYAQ6PU91O0F\n6z+BJcMhNTl3+/oG3vm4WkfXxCfyHYNB8XzrKswY0IjzNxPoPHYTvxyw3XozokgAtcoU4anGkTa3\naV45jJXPt6RllTDeW/Y3T8/YweVY2zPghGeSZJQQXk7TtIwKKftnQMncKCE8RjZVUnZXAOWQ4LGu\nNLJc356bbnJZKSVzpPIZ66SUjedP2XjL7eNCCCFsC2oUgZaYyu39l51ap+4jHTEajexa8ZNOkQkh\nCjrfkiWImj2b4FatuPDe+1z45FO0VMcT52ZPVn2SNU+u4XF1zMQAACAASURBVMmqT+Z6H3+jPx80\n/4BRDUfx28nf6LuyL2djzzodS54y+sKj46HVa7D3O5jzJCTkot2Z0efOx9u/hfWfgcnLqsOE27Sq\nGs6yES2oEB7E0Nm7+HjlQVJSHX/9FA/2Z0q/hrzbuSab/7lCu9Eb2XDkko4Rex9p0yeEEEIIIYQQ\nQgiP5xcVgk94IeJ22L5aOTeCixajWvP7+ev3NdyOvaVTdEKIgs4QFETZcWMp2qcPV2fM4MwLL2C6\nfdstsSil6FezHxMemsDZ2LP0WNaDned3uiUWhykFD/wHOo+D4xtgenu4mcuk2oNvQJ1usO5DWNAL\nEm64NlaRb5QtGsj3w5rSq3F5Jq//l95Tt3HpluMVTUop+jWLYslzzQkt5Evfadv5aMVBklIKZpK0\nTJVQd4dgF0lGCZHPONL1yMFOSUIIvVlViljPkLKr+ieHaiMNDTQF2p31IXPru6xuGfu7qkuanXOk\nLCtgPKb1oLCP9WtVWT9s402l32y8CSGEyJlSiqDoCJJO3CT5QvbzHHLSsONjpCQmsn/1Sp2iE0II\nUEYjEf99nZKvv86t39Zyom8/Ui65rxKieZnmzO0wlyL+RRj862AWHl7otlgcVr8P9FoI147DlDZw\n4e+c99k8Bso3hXafwdFf4dsH4eIh18cq8gV/HyMfdqnNF0/ey95T1+kwZiM7Y646tWb1UiH8PLwF\nvRqX55sN//L4xD9ynE2VH505et3dIdhFklFewDzfJzczfiy3lblABYu5VV9utzXPjjKf0pV2fUJ4\nEIsT89azkvSaI5VVmzM0dacNn63WZ+kJLJe2QbNjjpR1UsoyaSe/Ar2Qk/OkhBBC2C+wfgkwKuK2\nO1cdFVY+iqh767Nn1VJSknM5i0QIIXKpWN8+lB03jsRjx4jp3oPEo0fdFktUkSjmdphLk9JNeH/r\n+3yw9QOSTV72c69yaxiwAkwpMK1tWqVUdhJvwobPoPFQ6PtzWou/KQ/B30vyJl6RLzzeoCyLn21O\noJ+RHt9sZeqm42hOXOlayC8tyTWpdwNOXo2nw5iNfL/zlFNrepvo9lHuDsEukozycEqpjMTBneRB\n9iy3L0jffCKNObHkyDk8Oe8nhIexSEjZmiNl71qWVVcZ1J1KkowKqCwqTlCaxXIu/v2SyzlS5lis\n50jlJiklySoPJkkpIYTIM8ZgPwrVLE78notoyc61uGnQsQtx169xaNPv+gQnhBAWCj/4AJGzZ2NK\nTiLmqV7Ebdnivlj8CjPuwXEMqDWABYcXMOTXIVxNcK7SI8+VuhcGrYaQUjC7K+zPpsrLPwRa/V/a\nx1HNYeh6KFEdFvaFNe+Ayfl5XqJgqF4qhCXDW/BAtRK8v+xvhs/bQ3ySc6+ftrUiWPVCS2qXKcIr\nP+xn5Py93EzwsgSxg2q2LOPuEOwiySgh8hFzdZQ9FVJSPSeEh8siiWTZus/uhJRl1VVGm7M7n2dU\nYJG+dqZj39knTxMEdlRKZdW6z6FqMuEZrJNS8jwKIYRLBEVHYIpP4faBy06tE1m7LuHlo9i1/Ce5\nMFII4RKFatWkwoIF+JYqxcnBQ7i+aJHbYjEajLzU4CU+avER+y/tp+eynhy+etht8TgktDw8vQrK\nNYYfB8PGL7LuyX7/a9Cg/53PQ0pD/+XQYABs+gq+exzivSwZJ9ymSCFfvunTgNfaVWPln+fYdeKa\n02uWKlKIuYOb8HKbqqz48xztR29k90nn1xX6kmSUEEIIIYQQQghRgPlXCsVYLMDpVn1KKRp07MLl\nUyc4sW+3TtEJIURmvqVLEzl3DkGNG3Puv29w8auv0UzOVXY6o1OlTsxsN5MUUwp9VvZhzYk1bovF\nIYWKQp8fodYT8Nt7sOxFSE3JeT8ff+j0NXQeCyc2wzet4Nw+18cr8gWlFMNaVeK7QY0JC/Yj2N/H\n6TWNBsWIh6qwcGhTAJ6ctIVxa4+SapILZDyFJKPyIZkXJQA7W/WlXXouc6OE8FDWFU0WFUCWrejs\nrpJKp7T0nxeaRcs7LX1tLG6aynL/PJHLtn1ZzZECGy37tMwLya9ND2b9/MtzJYQQulIGRVB0SRL/\nvUHK5dtOrVWt+X0EFy3GzuU/6RSdEELczRgcTLlJEwl98kmuTJ7M2VGjMCUm5rjfsTYPc7BWLa4t\nzKYlnQNqhdVifsf5VAmtwou/v8iEvRMwae5LkNnNxx+6fgstXoRd02H+U5AYm7t96/eFAavSWvVN\nfRj2LXBtrCJfaVYpjLWj7mdcz/q6rdkgsigrnm9J+9ql+PzXI/SaspVzN5z7+0boQ5JR+Yz1vChJ\nSImcmF8n5teKvGKE8HBWc6QsW/Y52o5OUxpoKtO+1jOY0FSmmVFuZeccKfPXYe42YZ2UMn8u3YQ8\nlFW7yBwfl2SVEEI4JKhBBBggbodz1VFGH1/qtu3Eif17uBjzr07RCSHE3ZSvLxHvvUuJUS9zc8VK\nTvYfQMq17NtyJZ86BSmpXJ4wUfd4wgPDmdZ2Gp0rdWbivom8/PvLxCfH634clzEYoPU70OELOLYa\nZnSA2Eu527dsAxiyHso0hMVDYOX/QWrBmNkjnLds31keGb2BudtO6LZmSIAvY3rU5X9P1GH/6Ru0\nG72RXw449zeOJzqw8Yy7Q7CLJKNEpkoqqajyfncSkThQ6STVUUJ4BYvqEMuEi2WlVK7XSU/AmGdH\nZUrUpCepzBVEHlWUYsccKetKsgxKy0hCpVWBecRXJqxpNm65fVwIIUSuGEP8CKhWnLhdF9BSnbua\n/97W7fD1D2CXVEcJIVxMKUXxQYMo8/VXJBw4QEz3HiQeP57jfmHPPuOSePyN/nzQ/ANeafgKa0+t\npc/KPpyJ9a6TxUQPgh5z4fIRmNkx9/sFh0PfJdDkOdg2CWZ2hlsXXBenyDfGrD3G+RsJjF17TNd1\nlVI82bAcy0a0oFzRQIbO3sV/F//J7aRUXY/jTjtWxLg7BLtIMkoIIYQQQgghhBAENYrAFJtMwkHn\nhtAHBAdT68E2HNq8gdirV3SKTgghbAtp25byM2dgio3lRI+exO/cme32Rbt1c1ksSin61uzLhIcm\ncC7uHD2X9WTH+R0uO55L3NMO+i+zv7rJ6ANtP4KuU+DsnrQ5Uqe87GsXeW7kg5UpVSSAEQ9Wdsn6\nFcODWfRMM4bcV5E5207SedwmDp2/6ZJj5bXo9lHuDsEukozKZxyparJu7adJn6J8xZHr/KU2QAgv\nYDlDSmlYt+2za4aUuX2dpmwWlWjqzhwpR9sB6i4Xc6Qy/h3SWwze1XrQahuH5m8JIYQQ+URAlaIY\nQ/yI3e58G5sG7R9FM5nYs2qpDpEJIUTOAuvVI2rBfIzFinFywNPcWGr758+l8eNdHk/zMs2Z12Ee\noQGhDPl1CAsOedkspTINYNAaCK8GG7+EXTNyv2+dJ2HQajD6wfR2sHO6y8IU3u+pxpFs+c9DPNU4\n0mXH8PMx8Hr76sx6uhHX4pPpPG4zM/+I8frz4DVblnF3CHaRZJSHs5zno5S66xvEOvmU0/ai4LCn\nVZ/MGBPCi1kmYyza9jmSNNJISzgpTaWtp6mMJFfG41btAD3mx4aNtn2W87Qyvpb01oPmWVnmx623\nF0IIIQoaZVQENixJ4tFrpFxPcGqtIiUiqNKoKfvWrCQpQYaGCyHyhl+5ckTNm0uhunU5+8qrXJow\nIfO5sfT/wFweN54bS5e5PJ7IkEjmtJ9DszLN+GDbB7y/5X2SvWmWUrEKkHgT4i/D+k/t2zeiNgz5\nHSrcB8tegJ9HQLJzv1uEcNZ9VcNZ9UJLmlcqzts/H2DwrJ1cjUtyd1gOk5lRQnfZVSzZuk8qnIQl\n+2a8yNwoIbySZaWUI0kj6+oiLa0aKuMHiDlZY1GBZU7keExSKotKKZXFm5kyV0aZ79dU2tditZ0Q\nQghRkARFRwAQt8P5OR8NOnYhMS6Ov9atdnotIYTILWNoKOWnTqHIo525PGYs5/7zOlpS2slmv4oV\nwWDAt1w5zr7yCufeeQdTYqJL4ynsV5gxD4zh6VpPs/DIQgavHszVBOfaoeapVv8HIaXT3tsrsBj0\n+h5ajoLds2BGe7hxWv8YhbBDWLA/0/pH81bHGmw4cpm2X29g87HL7g7LITIzSgghhBBCCCGEEF7J\np2gA/lWKEr/zAprJuQscS1etRumq1dm9YgkmU/4ZFi6E8HzKz49Sn3xC2Ijh3PjpJ04OHkLqjRv4\nlixJoTp1qLR8GcUHDeT6/AWc6PkUSadOuTQeo8HIiw1e5JOWn/DX5b/ouawnh68edukxddOgP7x0\nMO29IwxGeOhN6D4HLh2Bya3g+EY9IxTCbkopnm5RgcXPNSM4wIfeU7fx6apDJKea3B2aXWRmlBDC\nY1i26sttuz5zqz77qqmEEB7Dojoqq5Z92VYwpVdDaUq7UxlkYyaTrfU9huU8LfNMLXWn5SCkV35Z\n7qK0tPZ8SsuYHyWEEEIUREHREaTeSCThyDWn12rYqQs3Ll7g2PYtOkQmhBC5p5Qi/LnnKP3Zp9ze\nvZuYnk+ReOwYtw8c4PrixZQYNYqyE8aTdPo0x7s+zs3Vrq/i7FCxAzPbziRFS6HPyj6sPlGAKker\nd4TBa9OqpWY9ClvGS3904XY1Sxdh2YgW9Igux8Tf/+GJSVs4cSXO3WHlmsyMEkJ4LHtb9Um7PiG8\nlOUMKZW5ZV9uk0aWSZtMa2axnXVLQI9h3bbPKlGXtol2JwGX3rbPcm6UR309IjPzcyuEEEJ3haoX\nwxDsS9z2806vValhY0JLlmLn0sXSSl4I4RZFOnem/LSppFy5QsrFi5CczOUJEwEo/OCDVPjxR/wi\nIzkzYiQXPvkULdm1M51qhtVkfof5VClahZd+f4kJeydg0ryrGsNh4VVh0G9wTzv45XX4cTAkxbs7\nKlHABfr58HHXOkzoVZ/jl2LpMGYTi/dIO0lXkGSUEPmcuToqtydULaujhBBezCIRY64IspU0M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RlVsbh3/vpFd6qKEKIghSIqiICDZK6EXAhtLEo9hF9OjBo9+xK1YEREVp0ktAUKqoIE2lWiD0\n3hPSy/7+CIkhBpIJ2TOT5Lm99pVkZs+8jxgT3Wuvd33C8YTj9FvUj7WH19qylkdyOKDN09B/OpzZ\nB+Nuhp3L3J1KJIu/jxejujTkswERHI1JJPKDH5i6bp/TxaUbelxhU0J7qBglIhdwdus9XTsVkdzm\nSGWf81Qo759j277MLQE9uoiTj237TLa/NEdKRESKqtBba2AlphH7Q8G7oxrefAv+wSFsjJpTiMlE\nRDxPaPv21Jw5A++KFdk/ZCjHRo/GSi34VqeXcl3l65jacSoVAirw4HcPMnnH5CLXSXFZ6t0Og1dA\nSBWY3AtWv6M5UuJR2tWvyOJHWxNRoywjZ2/hX1M2cTY+Jd+v/83Xnp8ddlExSkT+Ia9roFldVMb5\n4pWIFHPZOqUwFF4XUy6dUtlnVXl88SZ7Qe2Ch60LOqU0R0pERIoi38pBBFxdjnM/HCTdiQso2fn4\n+dPk9o7s3PAzpw8XvKglIlIU+NWqRc2vp1GqV09OfjKWfQ8MJPX4cVvWCg8NZ1LHSbSu1prX1r3G\nS2teIiWtYD+ri6RydWDQd9CwOyx7CabfC0n53xJNxG5hof58+UALRnaoz7fbjtLhve9Zt/tUvl77\nwfKdNqcrXCpGiUiWzCKTuqNE5LLk6JQq9C6mS2zd59Gyd0nl0SkFKkiJiEjREnprDayky+uOanJH\nJF5eXmxcNL8Qk4mIeCaHvz9VXnmFyq++SsLmzUR370Hcz+tsWSvIJ4j32r7HkMZDmPXXLAZ+O5AT\nCSfy9dqbv76ZjUc32pLLZXyDoOcEuP3/4PeFMP4WOPGXu1OJZHE4DEPb1GH2Qzfg6+2g77g1vPPd\nn6SmpV/ydY+00zZ9IiIiIiIiIlKC+FQKIqBRec79eKjA3VFBpctwVeu2bFu5lITYmEJOKCLimUp3\n70bN6V/jFRLCvvvv58QnY7HSL30BuiAcxsEjTR/hzTZvsuPkDvot7Mf2k5ee03ck7ggnE08ycvXI\nQs/jcsbADQ/DvXMh/gSMbwe/L3J3KpELNK5WmqjhsyID9wAAIABJREFUrenetBrvL/uLvuPWcuB0\n/EXP79+yhgvTXT4Vo0SkQCzLKnAnlYiUIC6eI1UkZi7lMUcqe4eU5kiJiEhREnprdazkNGJXF7w7\nqnmnbqQmJ/Hbt7pAKCIlh3+9etScMYPQ9u05Pno0+x98kNTTp21Zq33N9nzZ4UsA7vvmPhbvXnzR\nczPnSx2NP8qMP2fYksflat0EQ1ZlbN83rR8s/z+wofgnUlDBft683eca3uvbhN+PxNLhvdVEbT7k\n7liFQsUoEblA1jwotP2eiBQSF86RwjJZ2wJ6fPEmR0Htwqc0R0pERIoen4p/d0elxRWsO6p8eA1q\nNWnOL0uiSE1OLuSEIiKeyys4iCpvv0Wl/7xI/Jq17O7Rk/hffrFlravKXcXUTlO5qtxVPP3907y/\n6X3SrYsXZNKtdMb+NtaWLG5ROhzuXwxN74bv34Cpd0KCPcU/kYLq2qQqi4a3pk6FYB6e8gsjZm4m\nPjnV3bEui4pRIpIrC5OvjqfsxSsRkYvKZY5UoRaNMgtS54teJuOLC4peBTlsl6Og9s+nc58jlVc2\ndVKJiIi7hN5SHSsljXOrDxT4PZpHdif+7Bl2/Liy8IKJiBQBxhjK9OtHjalTMV5e7L3nXk5NnJjV\noVSYygeUZ8LtE+hZtyfjt4zn0RWPci753D/yZBrUaFChZ3ArH3/o8iF0egd2rYBxbeHoNnenErlA\n9XKBzHjweh5uewXTN+4n8oMf2Hbw762Mv/usaH3PqhglIiIiIiIiIoXCp2IQAY0rcO6nQ6SdK1hn\nU/Wrr6FCjVpsjJprywVYERFPF3B1Q2rNmklwmzYcffU1Dg5/lLTY2EJfx8fLh/9c/x9GthjJ6gOr\nuXvR3eyP2Z/1fJBPUNbnn2/9nH0x+wo9g1sZA9cOhPsXQUoCfHorbJnp7lQiF/DxcvDUHVcyeVBL\n4pPSuHvCz1nP/bX+qBuTOU/FKBH5h6xuJyc6njQ3SkTyzbqwgym/3T75ed8Luq8gqwPrgs+dOVzp\nItv25TZHqtD+zERERGyQ0R2VXuDZUcYYIiK7c/LAPvb8urGQ04mIFA1epUpR7cMPCBsxgtgVK9jd\nsxeJ27cX+jrGGPpf1Z+xt43lROIJ+i7sy5pDa/5x3uG4w/Re0Jv5u+YXvxsFwlvA0FVQqTHMGghL\nnoe0or0dmhQ/N9QpzzePtqZd/bCsx+peW9GNiZynYpSIXJIzRSbNmRKRfMteNDo/RypzW73Cev/M\nglfWtoDGgmyP5edwuUts25dXUeqCP7scxTQVrkSkIIwx7Y0xfxhjdhpjns3l+QHGmOPGmF/PH8Vs\n/x4pKJ+wQAKuqUDcZXRHXXlDa4LLlGVD1JxCTiciUnQYYyh3/wBqfDkRKymJPX37cfrr6bYUg1pW\nbsnUTlMJCwxj2NJhTN4xOWMuLxDsE8yjzR6lQbkGPP/D8zy7+llikwu/U8utQirBfQugxRBY8yF8\n1Q3iTjj/PqvfhlGlCvZakTyUCfJl3D3Ns76+7YGGbkzjPBWjRCRXlmXlex5U5nn5nTMlIpIlW1Eq\ns2hUaIWTbP9/ln1OVVbh3PrnYS7yerdwslMKcv9zM4YLzhERyQ9jjBfwEdABaAD0M8Y0yOXUry3L\nanL++NSlIcWjhd5SHSs1ndjvCzY7ysvbh6YdurBv628c2xNdyOlERIqWwGbNqDVnNoEtWnDkP//h\n0IgRpMfFFfo64SHhTOo4iZuq3cRr617j5TUvAzDsmmEMbDSQT2//lEeaPsKSPUvovaA3vx3/rdAz\nuJW3L3R8E7p9AgfWw9g2cHCTc+/x+6KMj6d2F34+ES6c5Tbl571uTOI8FaNEJE8qMImI7bIXpSj8\nbeiMZc6/d7aiVI73NpkdWp7EiU6pzOzGZNsG8XwhKuscEZH8awHstCwr2rKsZGAa0NXNmaQI8akQ\nSGCTMOLWHCYttmDdUY1vbY+PfwAb1R0lIoJ32bKEjxtLhUeHExO1kN197iRp585CXyfIJ4jRbUcz\ntPFQFu9ZDMCY38Yw488ZeDm8GNJ4CF+0/wKA+765j/Gbx5OWnlboOdyqST94YAkYB3zWHn6Z5O5E\nIrna8HXh/wywk4pRIiIiIiIiklNVYH+2rw+cfyynnsaYzcaYmcaY8NzeyBgzxBizwRiz4fjx43Zk\nFQ8V0i48oztqVcG6o/yDgmnU9jZ+/+l7Yk9quyMREeNwUH7YMKp/NoG0M2fY3bsPZ+fPL/R1HMbB\nw00f5q02b2EwnEs5x9jfxmY93ySsCTM6z+D2mrfz/i/vM/i7wRyNO1roOdyqShMYshJqXA/z/gVR\nj0NqPm6uiDv/3zp/LLQznQgAdeKL1k2nKkaJyCVl36rvUj/ess7Lx7Z+IiIXlb0LqDDmSGXruDJW\nxg+o3LYEzOyKyngc92/Rl5tctu0zhqxZWBnnnO+O+vuUjI6o8+dodpSIOCG3nxY5fzouAGpaltUY\nWApMzO2NLMsaZ1lWhGVZERUqVCjkmOLJfCoEEtg0jLifC94d1axjF6x0i18WLyjkdCIiRVfQdddR\na/ZsAho25NAzIzj84n9IT0oq9HXuqHkHz7V8joqBFRl6zdALngvxDeH11q/zSqtX2HpiKz0X9GT5\nvuWFnsGtgsrBXbOg1aOw4TP4ohPEHL70a2IPZXzc9KX9+aTEq9eiorsjOEXFKBHJF2fmQWlbPxG5\nbBeZI1XgQkpmQer855lfZxa8sM4XbDyxCJVdjm37MmdBWZl/P5BRVDt/Ssbn1t8v0+woEcm/A0D2\nTqdqwKHsJ1iWddKyrMwrX+OB5ojkENquOlZaOrEr9+d9ci5KhVWi7nWt2Lx0MckJ8YWcTkSk6PKp\nGEb1Lz6n3ODBnJk+nT19+5G8t/Dnx/St35elvZfSu17vfzxnjKHrFV2ZHjmdqsFVeXTFo7yy9hUS\nUxMLPYfbeHnDbf+F3l/A0W0wrg3sXXPx8ys3yfiYFAuHfnFJRCm5bnugobsjOEXFKBHJU/aup/xS\nOUpELlsuc6QyZ0kV/D1Ntk6ovwte2YteRUaOTqnMuViQ8bnJnH9l/v5as6NExAnrgbrGmFrGGF+g\nL3DBPkDGmMrZvuwC7HBhPikivMsHENi0Iud+PkJaTMG6oyIiu5EUH8fWFd8VcjoRkaLNeHsT9uQT\nVPtkDCmHDrG7Zy9ilnzr8hw1S9VkUodJDGg4gK//+Jp+C/vx1+m/XJ7DVg27w+Bl4BsMEyNh3fjc\n7/Rrek/Gx7Rk+PRWWP02FLeZWiIFpGKUiIiIiIiIXMCyrFTgYWAJGUWm6ZZlbTPG/NcY0+X8acON\nMduMMb8Bw4EB7kkrni60XTikF7w7qvIVV1K1fgM2LppHepou6ImI5BRy883Unj0L39q1Ofjooxz5\n3/+wkgt2A0BB+Xj58GTEk4y9dSynE0/TN6ovU3+filWctmYIuwoGL4crboVFT8HchyAl4cJz9v6U\n8bHNM1A/Epb9N2N7v9OF37Umsm31QXdHcIqKUSLilLzmRmV2UWmrPhEpNNnnSJ2f7VSgDqacW/PB\n391DUHhbArpStm37MuddZe/2ypqBdX5mlJW1aZ+ISN4sy1pkWVY9y7LqWJb1f+cfe9GyrPnnPx9p\nWVZDy7KusSyrrWVZv7s3sXgq73IBBDaryLl1h0k7W7CZJs0juxNz/Bh/rfupkNOJiBQPPlWrUnPS\nV5S55x5Of/kVe+65h5RDh/J+YSG7oeoNzOoyi5aVW/K/n//H8BXDOZ142uU5bBNQGvpOhZtHwm9T\n4LM74My+v5//85uMjxsnZmzt1+0TOLIVxrSC36Zp33QpVOsX7XF3BKeoGCUiTlGRSUTcJsespwIV\njbIVa4z5u4Dzjy0BoWhs25dtm76sr3M5J+vvyVzkHBEREZuFtqsO6RBTwO6oOs1bUKZyFTZEzSle\nd9mLiBQi4+tLpeefo+ro0STv3MXu7j04t2qVy3OUCyjHR7d8xIhrR/DjwR/pNb8X6w6vc3kO2zgc\ncPOz0O9rOLUHxraBXSsynqvXIePjdQ9l/M9qk34w7Aeo2BDmDIWZ90P8KbdFl+Ll2o413R3BKSpG\niUi+ZO96yus6ZuZ5uuopIrbIUTQq8BwpK5cX/aPTyMM7pbLlNdb5qlMu52TNkMqqSomIiLiWd1l/\ngppXJG7dEVIL0B3lcHjRrGM3juz8k4N/bLchoYhI8RHa/g5qzZqJd+XK7B/6IMfeeRcrNdWlGYwx\n3N3gbqZ0mkKgTyCDvh3Ee5veIyU9xaU5bHVlexiyAoIrwqQe8ON7UOP6jOca9f77vDI14f5F0O4F\n2LEgo0sqeqU7Eou4lYpRIiIiIiIiImK7kLbhYEHsioJ1RzVs0w7/kFA2LJhTyMlERIof35o1qTlt\nKqV79+LkuHHsu/8BUo4dc3mO+mXr83Xk1/So24NPt3zKgG8GsD+2YL8HPFK5OjBoKTToCt+9CCtf\nz/08hxfc9BQM/A58A+HLrrDkeUgt2Pa1IgBr5uxydwSnqBhVBBhjsg5nXyNiB23VJyJul60jyOk5\nUjlmLF3qvAtmTHn4tn0W1vk/iwsePL9Nn2ZFiYiI+3mX9ScooiJx64+Qesb5i28+fv40ua0Duzb+\nzOnDRWtgt4iIOzj8/an88stUfu1VErZuZXePnsSt/dnlOQJ9Ahl1wyjebvM2u2N203tBb6Kio1ye\nwzZ+wdDrc7jtZTh35NLnVm0GQ7+HiIGw5kMY1xaObnNNTil2khNc2/F4uVSM8nDGmKzt0TK2Psv7\nKpiKUGKn7Fv1Xeo7Leu8fGzrJyJyWbJt23ex7fSyb7WX/WdTbo/n+t7nD48uSOUsRGXKLNh5am4R\nESlRQtqFAxC7Yl8eZ+auyR2ReHl5sXHhvMKMJSJSrJXu1o1a07/GKzSUfQ88wIlPPsFKT3d5jttr\n3s6szrO4ssyVjFw9kudWP0dcSpzLc9jCGGg1HFo+CD6B8Ofii5/rGwSR70D/6RB3LKMgteZjcMM/\nEynaitoYTRWjipnM4pWI3SxMvjuk1EklIrbL7HY6/2nOwpLlxHGx9/b4OVJ5dHmpMUpERDyBd+nz\n3VEbjpJ6OtHp1weVLsNVrduxbdUy4mPO2pBQRKR48qtbl1ozphPasSPHR7/H/qEPknr6tMtzVA6u\nzIQ7JvDQNQ+xcPdCei/ozdYTW12ewzbb50JKPKx+K+9z690Bw9ZAnXawZCRM6g4xh+zPKMVGvRYV\n3R3BKSpGFSMqRImrqOtJRDxWtqJU9qJR9uecq0T98/0zu7CyryEiIiL5F9K2OlDw2VERkd1ITU7i\nt+8WFWYsEZFizxEURJU336DSqFHEr13L7u49iP/lF5fn8HZ4M6zJMD6/43NS01O5Z9E9TNgygXSr\nGHQGtRkBoVUyPuZHcAXoNxUiR8P+dfDx9bBtrr0Zpdi47YGG7o7gFBWjRERERERERMRlvEv7EXRt\npYzuqFPOd0eVq1adWk2a8+uShaQmJ9uQUESk+DLGUKbvndSYNhXj7c3ee+7l5BdfuOUG92YVmzGj\n8wzaVW/H6E2jGfLdEI7FH3N5jkLVfAA8sSPjY34ZAxH3w9DVULY2zLgP5gyDxBi7Uoq4hYpRxYwx\n5oKZUZofJXa71BZ8f886A/VQiYhL5ehgKtSfQBfZts+jaFs+ERHxcCFtw8FcRndU5x7Enz3Djh9W\nFm4wEZESIqBhQ2rNnkXwzW049trrHBw+nLSYfxY/4tevJz0hwbYcpfxK8Vabt3jphpfYfHwzveb3\nYtX+Vbat59HKXwEDv4WbnoHN0+CTVrB3jbtTiQfbtvqguyM4RcWoYiTzwn/2Oxnyc1dDZgEr+yGS\nlwsLTSIiHih70QibZjxlK3p55BwpERERD+Vdyo+gFpWI21iw7qjwho2pULM2G6LmYGngu4hIgXiF\nhlLtgw8IGzGC2BUr2d2zFwnbtmU9n3bmDHvvuZc/WrTk9PTptuUwxtCjbg+mRU6jYlBFHl7+MK/+\n/CpJaUm2remxvHyg3fNw/2LAwBcdYdnLkJbi7mTigVZO+cPdEZyiYpRcUMTKWcwSyY+8rrtmzZhy\nSRoRkdzlOkeqsN7YQnOkREREnBTaNhwcELN8n9OvNcYQEdmdUwf3s/u3jTakExEpGYwxlLt/ADW+\n/BIrJYW9/fpzetrXWJZFenx8xkkpKRx9623bs9QuVZvJHSdzT4N7mPL7FPov7M+uM7tsX9cjVW8J\nD/4A1/SH1W/BhNvgxF/uTiWepohdxlcxSkRERERERERczivUj+AWlYnfdJTUk85vAXXl9a0JLluO\njVFzbEgnIlKyBDZrSq05swls0YIjo0Zx6OlnsLLP5XNRF6qvly/PXPsMH9/yMScSTtA3qi/T/5he\nMm+e9w+Fbh9B74lweg980hrWT4CS+GchxYKKUR4uo6Pk7+3zcv7g1ZZ64m6WZeW7xeBS86VERGyX\nc46UDVv25ZwjpW37RERELi3k5nBwOIhZ7vzsKC9vb5p16MK+rZs5tifahnQiIiWLd5kyhI8bS4VH\nhxOzaBH7Bg3Oes5KTOTMrFkuKwq1rtaaWV1m0axiM15e+zJPrHyCs0lnXbK2x2nYDYb9BNWvg4VP\nwJQ74dwxd6cScZqKUUXApbbPu9gvAG23J66W3636RETc6iJzpAp7277sRS9t2yciInJxXqG+BLes\nRPwvR0k94Xx3VKNb7sDHP4AN6o4SESkUxuGg/LBhVP9sAumJiRc8fvj5f7P/wQdJOeqaQkj5gPKM\nuXUMT0U8xcoDK+k5vyfrj6x3ydoeJ7QK3D0b2r8G0Svh4+vhj2/cnUrcJKxmyAUfiwrjIQULjwhR\nEuXWbSXirIzvI8jrX+W/z8v7XBGRQnWRuXXWhaeQjx9lBVvbMmAy3li/dsVGKnuKx4uIiLA2bNjg\n7hjiYdJikznyxnoCGpWnbJ8rnX79ionj+XVJFIM+mEBIufI2JBQRKZlSjh3j4ONPkLxnD+UfeRiS\nUzj2zjsYPz8qvfgCoR07umzXpm0ntzHi+xHsi9nH4MaDGXbNMLwd3i5Z2+Mc3Q6zB8PRrdD8frjj\n/8A3yN2ppAQzxmy0LCsir/PUGSUiIiIiIiIibuMV4ktQy8rE/3KMlAJ0RzXr0AUr3WLTN/NtSCci\nUnL5hIVRc/Ik6v34A2X79qXsvfdQa85s/GrW5NCTT3Hw8SdIPX3aJVkalmvI9MjpdL2iK+M2j2PA\n4gEcPHfQJWt7nIoNYPByuOER2PhFxiypgxvdnUokTypGichly9yCz6BbskXEc1m5HDmfN9i/bZ/m\nSImIiPxTSJtqGG8Hscv2Of3aUmEVqXddK7YsW0JyQrwN6UREJJNfrVrUmDyJCk88QeyyZURHdiZ2\n2TKXrB3oE8jLrV7mjZveYNeZXfSa34tvdpfQreq8/eD2V+DeeZCaCBNuh1VvQlqqu5OJXJSKUSJS\naCwM1iXKUVlFK12EFRFXy60SlcuR/cvCLkhlX0NzpERERC7kFeJL0PWVif/1GCnHnS8oRUR2Jyk+\nji3Lv7MhnYiIZGe8vSk/ZDC1Zs7EOyyMA/96mEMjniUtJsYl63eo1YEZnWdQp3Qdnvn+Gf79w7+J\nTymhNyPUbgPDfoSrusCKV+CLjnBqt7tTieRKxSgRKRTOF5p0FVZEPFCOopEtBaNsnVKZPzdVmBIR\nEYGQmwreHVXpinpUrd+QTd/MIz0tzYZ0IiKSk/+V9aj19TTKP/QQZ6OiiO7chXM//OiStauFVOOL\n9l8wpPEQ5u+aT5+oPmw/ud0la3ucgDLQ6zPoMR6O7cjYtu/XKRpYLB5HxSgRscGlu6MyC1ciIh7N\nwr6CUY5OLHVKiYiIgFewL0E3VCH+t+OkHCtYd1TM8WP8+bNrLoSKiAgYX18qDH+EmtOm4QgOZv+g\nQRweNYr0uDjb1/Z2ePNI00eYcMcEElMTuWvRXUzcNpF0K932tT2OMdC4T0aXVOXGMHcYzLgP4k+5\nO5lIFhWjRERERERERMQjhNxUDePjIKYA3VF1mregTOUqbIyag6W7wUVEXCqg0dXUmj2Lsg88wJmv\npxPdrTvx69e7ZO1rK13LrC6zaFOtDW9teIthS4dxIuGES9b2OKWrw30L4NZR8PsiGHMD7Fru7lQi\ngIpRIlKInO96UhuAiHg4O+dI8fcbW8bK6o5Sh5SIiJRkXkE+BN9QhYTNx0k56txd9cbhoHmnbhzZ\n9RcHf99mU0IREbkYh58fFZ95mhqTvgJg7733cfS110lPTLR97VJ+pXj35nd54boX2HR0Ez3n92T1\ngdW2r+uRHF5w4+MwaCn4hcBX3WHxSEix/5+DyKWoGCUiNrn01VRt1SciRUYuc6Ts2LYvc45U9jVE\nRERKouDW1TA+XgXqjmpwUzv8Q0LZEDXXhmQiIpIfgc2bU3vuHMr068upL75gd4+eJGzebPu6xhj6\nXNmHaZHTKBdQjoeWPcTr614nOS3Z9rU9UpUmMGQVtBgCaz+GcTfDkS3uTiUlmIpRIlLoVGgSkWLL\nzk6pHEUvzZESEZGSKqs7assJp7ujfPz8aXJ7R3Zt/JlThw7alFBERPLiCAqi0osvEj7hU9Lj49nT\nrz/HRo/GSra/MFSndB2mdppK//r9mbRjEnctuovos9G2r+uRfAOh45tw10yIPwnj28FPH0B6CZyr\nJW6nYpSIiIiIiIiIeJTg1lUxvl7ELHW+O6rJ7Z3w8vZm0yJ1R4mIuFtwq1bUXjCfUl26cPKTsezu\ncyeJv/9u+7p+Xn6MbDmSD9t9yNG4o/SN6susP2eV3JmCdW+Dh9bAFbfBt/+GL7vA2QPuTiUljIpR\nImIbQ36mQuXvLBERj3GRbfsKe43Mbfu0ZZ+IiJREF3RHHXGuOyqodBkatG7LtpXLiI85a1NCERHJ\nL6+QEKq8+j+qffwRqSdOsLt3H058MhYrNdX2tduEt2Fml5k0rtCYUWtG8eSqJzmbVEJ/NwSVh76T\nocsHcHATjLkBts5ydyopQVSMEhFbWJaV5xXUzO38dJFVRIosC/vmPGUreKkoJSIiJVFI66oYPy9i\nlu51+rXNO3UnNSWZ375bZEMyEREpiJB27ai9YD4ht97C8dGj2dP/LpKi7d8+LywwjHG3jeOxZo+x\nYt8Kei/ozaajm2xf1yMZA83uhQdXQ7m6MPMBmD0EEktogU5cSsUoEbFd/q6d6gqriBRRuRSN7H5/\nFaVERKQkcAT6ENyqCglbT5J86JxTry1XLZxaTSP4dclCUl0wn0RERPLHu0wZqr37LlXfeZuUvXvZ\n3b0HpyZOxLJ5hpHDOBjYaCBfdvgSb4c39y+5nzG/jiE13f7uLI9Urg48sATaPAtbZsKYVrDnR3en\nkmJOxSgRsY1lWX93SOVxji6sikiRl8vWfa7olDIF/EtERKQoCLmxKsbfi5hlzs+OiojsTvzZM2xf\nvcKGZCIicjlCO3akdtQCgq6/nqOvvsa++waQfMD+GUaNKjRiRucZdKrViY9/+5iBSwZy+Nxh29f1\nSF7e0HYkPLAYHN7wRSdYOgpSdROH2EPFKBERERERERHxSBndUVVJ3OZ8d1R4w8aE1azDxoVzbb/j\nXkREnOddoQLVxnxM5f/9j8QdO4ju0pXTX0/PuLHZRkE+Qfyv9f94tfWr/HH6D3ou6Mm3e761dU2P\nFt4iY9u+pnfDD+/Cp7fA8T/cnUqKIRWjRERERApTtu4lu7ftwzJgLDAWlpOHiIhIUZHVHbXUue4o\nYwwRkd04dXA/u3/baFM6ERG5HMYYSvfoTu358wi4pjFH/vMf9g8eQsqRI7avHVk7khmRM6gZWpMn\nVz3JqJ9GEZ8Sb/u6HskvBLp+CHdOgrMHYOxNsG482FwYlJJFxSgRcZFLX43N2KpP20aJSDGRrRpl\n57Z9lrH+LnrlWPeiB9k+ioiIFAGOAG9CbqxK4vaTJB90rjuq3vWtCS5Xng0L5tiUTkRECoNPlSpU\nnzCBii++QPzGjUR37sLZefNs75IKDw1nYoeJDGo0iNl/zabvwr78fup3W9f0aFd1hofWQI1WsOgp\nmNwbYo+6O5UUEypGiYjtNBNKREo0mzuljGUwlrmg6HXRczUrSkREiqjgG6ti/L2JWbrXqdd5eXvT\nrH1n9m/bzNHdu2xKJyIihcE4HJTt35/ac+fgV7cuh0Y8y8Hhw0k9edLWdX0cPjza7FHG3z6ec8nn\n6L+wP19t/8r2QpjHCqkEd8+CDm/CntUw5nr4faG7U0kxoGKUiIiIiIiIiHg0h783Ia2rkrjjFMkH\nYp16beNb2+MbEMDGKHVHiYgUBb41alDjqy8Je/ppzq36nujIzsQssX+mU8vKLZnVZRatqrTijfVv\n8NCyhziZYG8hzGMZAy2HwJBVEFoFpvWH+cMhybkOZZHsVIwSERfKzx35Jp/niYgUIRfZtq8w3jdz\nBlRmd1Ru72/O/2UZS1v0iYhIkRXcqgqOQG+nZ0f5BQbRqN3t/LFmNTEnjtuUTkRECpPx8qLcwAeo\nNWsmPlWqcPDRRzn41NOknTlj67pl/Mvwfrv3ea7lc6w7vI6e83vy08GfbF3To4XVh0HLodVjsOlL\nGNsaDmxwdyopolSMEhGXyG2rPpPj4Pw5xvzzuYsdIiJFjsVFi0YFfb/MolT2glf2988sWKkQJSIi\nRZnD35vg1lVJ/P0Uyfud645q1qErlmXxy+IFNqUTERE7+NWtS81pUyn/yMPELF5MdOcunFu1ytY1\njTH0q9+PqZFTKeNfhqFLh/LW+rdISUuxdV2P5e0Lt70EA6IgLQUm3A4rX4e0VHcnkyJGxSgRcakL\nikhZlSeTy238uTx3qfNFRIqSXIpGhSFrJlTO90cFfBERKR6Cb8jsjnJudlRohTDqtWzF5qWLSYqP\ntymdiIjYwfj4UOFf/6Lm19PwKl2K/UMf5PALL5B2zt4t4+qVqcfUTlO588o7mbh9Inctuos9Z/fY\nuqZHq3kjPPgDXN0TVv4PPm8Pp6LdnUqKEBWp/9BTAAAgAElEQVSjRERERERERKRIcPh5E3xTNRL/\nOE3SvhinXhvRuQfJCfFsXWH/3BERESl8AQ0bUnPWLMoNHsyZWbPZ3aUrcWt/tnVNf29//n3dvxnd\ndjSH4g7RJ6oPc3fOxbJK6LYTAaWh53joOQGO/wmftIZNX0FJ/fMQp6gYJSIuY1nWBR1N2X9xW5Z1\nwZHbY9mfy/l6EZEiKZc5UgXukjq/VZ/J1gNlLJN9GVBTqYiIFAPB11fBEeT87KhKdepS7aqr2bho\nHulpaTalExEROzl8fQl78glqTJ6E8fFh34ABHPm//5GekGDrurdUv4WZnWdydfmreeHHFxjx/Qhi\nk/+5ZWxsciwTtkywNYtHaNQLhv0IVZrC/Idh+j0Qd9LdqcTDqRglIm6R81pofq+N6hqqiBRL2bbU\nu6xt+zJnR2V+aXK8cWEVvkRERNzI4edFyE3VSPrzNEl7neuOah7ZndgTx/lz7Q82pRMREVcIbNqU\nWnPnUOaeezj91Vfs7tad+F9+sXXNSkGVGH/beIY3Hc63e7+l94Le/Hrs1wvOGfH9CEZvGk30mRKw\nfV3pcLh3Ptz2MvyxGMbcADuXujuVeDAVo0TEpbK6m7J1R2V+bXKcZ3JcJTUAxvyjQ0pEpFi4SMGo\nIMz5vy62TqEUvkRERNwo6PoqOIJ8nJ4dVafZtZSpXJUNUSV4iyURkWLCERBApeefo/oXn2OlpLD3\nrrs59vbbpCcn27aml8OLwY0HM7HDRAAGLB7A2N/Gkpae0XEbfTajCDVv1zzbMngUhwNaDYfByzO2\n8JvUE74ZASn2dqpJ0aRilIh4hOwFqos6X4gSESn2rAuLRU4VjM53R2V1RV3kHHVKiYhIUebw9SKk\nTTWS/jpD0p6z+X6dcTho3qkbR6P/4uCObTYmFBERVwm67jpqzZ9H6Z49ODn+U/b07EXCNnt/xl9T\n4RpmdJ7B7TVv58NfP2TQt4M4EneEY/HHAJi8YzJJaUm2ZvAolRvDkJXQchj8/AmMuxkOb87fa/eu\ngV0rbAwnnkLFKBEREREREREpcoKuq4wj2Mfp2VEN2rQjICSUDQvn2JRMRERczSs4mMovv0z42E9I\nO3OGPXf25fhHH2GlpNi2ZohvCK+3fp1XWr3CtpPb6Dm/J2X8ygCQlJZEr/m9WH9kvW3rexyfAOjw\nGtw9GxLOwPh28ON7kJ7HnMbP28NX3VyTUdxKxSgRcYvctuGDjK34TLZzcj4mIlJiZOtccrpDKvNF\n+TxX2/aJiEhRlNUdtfMMSbvz3x3l4+vHNbd3YteGnzl16ICNCUVExNWC27Sh9oL5hLZvz4kPPmRP\n334k7dxp23rGGLpe0ZUZnWdQLaQaxxIyOqP8vfxJSU/hgSUP8NKal4hNjrUtg8e54hZ4aA1c2R6+\nexG+7Apn9rs7lXgAFaNExGNkbdWXbX5U5pwobdEnIiVWXkUp4+RxiTUy10Hb9omISBER1PJ8d9R3\nzs2OanpHJ7x8fNi4cK5NyURExF28Spem6ltvUnX0aFIOHWJ3j56cnPAZVloeHTqXoUZoDSZ1mISP\nwwcAb+PN7C6zua/Bfcz+azZd53Zl2b5ltq3vcQLLQp+voOtHcOgXGNMKtsy89Gs2fuGSaOI+KkaJ\niJtdeHXUsqwL50edL0KpECUiJV4uRancnr/kURjriIiIeBCHrxchN4eTFH2WpOgz+X5dYKnSNLip\nHdtXLSc+Jv9dVSIiUnSEtr+D2gvmE3RTa469+SZ777mX5L3O3bzgDB8vH0a2HEnFwIo8ce0TBPoE\n8tS1TzGl4xTK+JfhsRWP8cTKJzgef9y2DB7FGGh6Nzy4GipcCbMGwqxBGVv45WbV667NJy6nYpSI\niIiIiIiIFFnBLSvhCPHl7HfOzY5q3qkbqSnJ/PbtIpuSiYiIu3mXL0+1Dz6gyuuvkfTXX0R3686p\nyZOx0tNtWa93vd4s7b2U3vV6Zz3WsHxDpkVO49Fmj7Jq/yq6zuvK7L9ml5wbr8vWhvu/gbbPw9bZ\nGV1Su1f/87w2I1yfTVxKxSgRcZuMuVEXv+teN+OLiOQiW+eSMTbO1ctl2z4RERFPZHy8CLm5Gsm7\nz5K4K//dUeWqhlO72bX8siSKlOQkGxOKiIg7GWMo1bUrtRfMJ7B5c46+/Ar7Bg4k5dAhl2Xwcfgw\nqNEgZnWZRb0y9fjPT/9h0LeD2BtjX6eWR/HyhjbPwMDvwNsXJnbOmCeVmgQV6oOXj7sTiguoGCUi\nHuLCq5yZW/WVmLtEREScZV24A59txaIcRSkVpkRExBMFt6iMI9SXmO/2OvX/EM07dSch5iw7Vq+w\nMZ2IiHgCn0qVCB8/jkovvUTCb5uJ7tKVM7Nc26FUs1RNPrvjM168/kW2n9xOz/k9mbBlAinpKS7L\n4FbVmsPQ1dD8PvjxPfj0Fji5E9JStE1fCaBilIi4VeY8qNwubKoQJSKSB+vCTy/VbVooa+XoyhIR\nEfEUxsdB6M3hJO+JIcmJ7qjwho0Iq1WHjVFzbduySUREPIcxhjJ39qH2vLn416/P4eef58BD/yL1\nuOvmODmMg971ejOv2zxurHojozeNpv/C/mw7uc1lGdzKLxg6vwd9p0LMIUhPzeiM0jZ9xZ6KUSIi\nIiLFgXVhl5StxSJ1SomIiAcKurYSXqG+xCzdl+8b24wxRER259ShA+z+daPNCUVExFP4hodT/cuJ\nVBz5LHE//UR0ZGdiFrl2hmBYYBij247m3Zvf5UTCCfov7M/bG94mITXBpTncpn5HGLYGKl8DXr7u\nTiMuoGKUiIiIiIiIiBR5xsdBSNvz3VE7898dVe+6GwkuV54NC2bbmE5ERDyNcTgoe9991JozG58a\nNTj4xJMcePxxUk+fdmmOW2vcyrxu8+h+RXe+2PYFPeb1YO3htS7N4DYhFSHuOCTHaZu+EkDFKBHx\nCBlb9enWehGRy5JtGz1Xb9uHfoSLiIgHCLq2El6l/JzqjvLy9qZZhy7s376Fo9E7bU4oIiKexq92\nbWpOmUyFxx4jdukyojt3IXb5cpdmCPUNZdQNo5hw+wQcxsHgbwfzwo8vcDbprEtzuEWbERBaRdv0\nlQAqRomIiIgUNxcpStlWL8payAVbBIqIiFyC8T7fHbU3hqS/8t8d1fiWO/ANCGBD1Bwb04mIiKcy\n3t6Uf3AotWZMx7tcOQ489C8OjXyOtNhYl+ZoUbkFs7rMYuDVA1mwawFd53ZlyZ4lxXuuevMB8MSO\njI9SrKkYJSIeIbMryhiT5yEiIrkwuRznZWticsksKXVKiYiIOwVFVMSrtB8xS/fm++KdX2AQjdrd\nwR9rVhNzwnVD7EVExLP4169PrRnTKffgUM7Om0d0l67E/fSTazN4+/NY88eYFjmNsMAwnlr1FMNX\nDOdI3BGX5hApbCpGiYiIiIiIiEixkdUdtS+WpD/zP/ejWccuAPyyeIFd0UREpAgwvr6EPfYYNadO\nweHvz74HBnLkv/8lPS7OpTnql63PlE5TeLL5k6w9tJZu87rx9e9fk26luzSHSGFRMUpEPEb2uxYt\ny8r1EBGRHCznjgu27bOje+mCNixt2yciIu4R1DyjO+qsE7OjQsuHUe+6G9m8dDFJ8fE2JxQREU8X\ncM011Jozm7L33cfpqdOI7t6D+I0bXZrB2+HNgKsHMLvLbK4ufzWv/PwKAxYPIPpstEtziBQGFaNE\nxKNkFp20HZ+IiE0s923bpx/tIiLiKsbbQUi7cFL2x5L4R/67oyIiu5OcEM+W5UtsTCciIkWFw9+f\niiOfpcaXEyE9nb1338PR198gPSnJpTnCQ8MZf9t4Xm71MrvO7KLX/F6M/W0sKWkpLs0hcjlUjCoC\nnJ2Vo9k6IiIickk5OqVs7WDKZS3NkxIREVcIal4RrzLOzY6qVKcu1RpczaZv5pOelmZzQhERKSoC\nr72W2vPmUvrOPpz6/HN29+hJwpYtLs1gjKHbFd2Y120et1S/hQ9//ZA+UX3YfHyzS3OIFJSKUSIi\nIiIiIvIPxpj2xpg/jDE7jTHPXuK8XsYYyxgT4cp8InkxXg5C21Un5cA5En8/le/XRUR2J/bEcf5c\n+4ON6UREpKhxBAVRedQowsePJ/3cOfb07cfx99/HSk52aY7yAeV5s82bvN/2fWKSY7h70d28vu51\n4lO0xax4NhWjPJwx5oJ5OXl1Ozl7voin0veviIiLZOtasn07vVzmSYmIZzLGeAEfAR2ABkA/Y0yD\nXM4LAYYDP7s2oUj+BDYLw6usPzFOzI6q3fRaylSpxoaoOZpbKyIi/xDc+kZqL5hPqchITnw8ht13\n9iXxjz9dnqNt9bbM6zqPPlf2YdKOSXSf150fDupGCvFcKkYVM/oPZRERESmQHNvp2bZtX7b1srbt\nExFP1ALYaVlWtGVZycA0oGsu570MvAEkujKcSH5ldEeFk3LwHIk78tcdZRwOmnfsytHonRzYsdXm\nhCIiUhR5hYZS5fXXqPbhB6QeO8buXr04MW48Z+bOZUf9q0iPi3NJjmDfYP593b+Z2H4ift5+DFs6\njJGrR3I6Mf/zEkVcRcWoYij7zCgVp6Qo0/eviIibuLpTyqBZUiKepyqwP9vXB84/lsUY0xQItywr\n6lJvZIwZYozZYIzZcPz48cJPKpKHwKYV8Srn79TsqAZt2hEQEsqGqDk2pxMRkaIs5NZbqb1gPiFt\n23L8nXc4/OxIAPbce69LczSr2IwZnWcwtPFQFu9ZTNe5XYmKjtK1NfEoKkYVQ9qmT0RERC5bjk6p\nzKKULf9pkWP7PhHxCLn925h1NcMY4wDeBZ7M640syxpnWVaEZVkRFSpUKMSIIvljvEzG7KhDcSRu\nP5mv1/j4+tHkjk5Eb1zHqUMHbE4oIiJFmXfZslR9bzRV3nor67Gkbds58MhwUg4fdlkOPy8/Hm76\nMNMjpxMeEs7I1SMZtmwYh84dclkGkUtRMUpERERERERyOgCEZ/u6GpD9SkYIcDWw0hizB7gOmG+M\niXBZQhEnBDYJw7t8QMbsqPT83SXe5PZOePn4sDFqrs3pRESkqDPGUCqyE/j5Zjzg7c251avZ1SmS\nkxM+w0pJcVmWumXq8mWHL3m2xbNsOrqJbvO6MXnHZNLS01yWQSQ3KkbJBdv6ZR4i7pDb96K+N0VE\nPEC2DqnMeVK2rmUK6RCRy7EeqGuMqWWM8QX6AvMzn7Qs66xlWeUty6ppWVZNYC3QxbKsDe6JK3Jp\nxssQ0i6clMP5744KLFWaBje1Y/v3y4mPOWtzQhERKQ4qPf883pUqUenFF6gdtYCgFi049uab7O7R\nk/iNG12Ww8vhxV1X3cXcrnNpVrEZr617jXu/uZe/Tv/lsgwiOakYVcwU5GJ99m39Mg8RV8vt+/Bi\nh4iIuIk7tu3jfF3JcuIg20cRKRDLslKBh4ElwA5gumVZ24wx/zXGdHFvOpGCCbwmsztqb767o5p3\n6kZqSjK/LlloczoRESkOyvTpQ92VKyjTpw++1aoR/skYqn30IWlx59h7190cGvkcqadOuSxPleAq\njLllDK+2fpV9sfvoE9WHD3/5kOS0ZJdlEMlkPOTCrkeE8FTZC0w5/3kZY3J97GLn5/beHvI9ICIi\nIkWNufBTW/6TImexKz9rmHyeV/yoH0w8XkREhLVhg5qnxH3ifznGqa//oOxd9QlslL8ZZnNef4nD\nO/9k8Eef4ePrZ3NCEREpjtLj4zkx5hNOfv45jqAgwh5/nNJ9emMcrusVOZV4ijfXv0lUdBS1StXi\npRteomlYU5etL8WXMWajZVl5btetzigRERERERERKRECrqmAdwXnZkdFRHYnIeYsO75fYXM6EREp\nrhyBgYQ9+QS1587Bv149jowaxZ6+/Ujcvt1lGcr6l+XV1q8y5tYxJKYmcu839/LK2lc4l3zOZRmk\nZFMxqgi41PZkF3tM25mJiIiI7bJtjWfbLKns2+5lnyd1MSW3K0pERPLBOAyht1Qn9Wg8CVtP5Os1\n1Ro0IqxWHTYsnIuVnm5zQhERKc78rriC6l9OpMobr5Ny8CC7e/XmyCv/R1psrMsy3Fj1RuZ2ncvd\nV93N9D+m03VeV1buX+my9aXkUjFKRERERC5ftllSFPYsqexFqIsVpbI/LyIicgkBjSvgHZb/7ihj\nDBGde3D60AGif9E2kyIicnmMMZTq0oU63yyiTN87OT15Mrs6duRs1EKXNRcE+gQyosUIJnWcRKhv\nKI8sf4SnVj3FiYT83aghUhAqRomIiIhI4cjRKWXrBKPMtURERJyU0R1Vg9Rj8SRsOZ6v19Rr2YqQ\nchXYGDXH5nQiIlJSeIWGUunFF6k5fTo+YRU59NRT7HvgAZKid7ssQ+MKjZkeOZ2HmzzM8n3L6Tq3\nK3N3ztWOW2ILFaNEREREpPDl6GC67E6p7O+XU/aOKRERkXwIaFQe74qB+e6O8vL2plmHzuzfvoWj\n0TtdkFBEREqKgEZXU3P611R88QUSt25jd9euHHvvPdITE12yvo+XD0OvGcrMLjO5ovQVvPDjCwz+\nbjD7Y/e7ZH0pOVSMEhEREREREZESJWt21PEEEjbnrzuq0S134BsQwAZ1R4mISCEzXl6U7d+fOt8s\nIqRDe06O+YToyM7Erlzpsgy1S9Xm8/af8++W/2bria30mNeDidsmkpqe6rIMUrypGCUiIiIi9smx\nbZ+53C6pnN1RmhMlIiIFFHB1eXwqBRKzLH/dUX6BQTS6pT1/rFlNzIljLkgoIiIljXf58lR94w2q\nT5yI8fPjwIPD2P/ww6QcOuSS9R3GwZ3172Ru17lcV/k63trwFnctuovfT/3ukvWleFMxSkRERETs\nl60oZfs8KRERkXwwDkPILTVIPZ5A/G/5645q1qEzAJu+WWBnNBERKeGCWrag9pzZVHjiCeJ++JFd\nnSI5+emnWCkpLlm/UlAl3m/3Pm+2eZMjcUfoG9WX0RtHk5jqmq0DpXhSMUpEREREXMfiH/OkCvQe\nma9VV5SIiFyGgIbl8KkUROyyfVhpef9SCS0fxpXXt2bLssUkxce5IKGIiJRUxteX8kMGUzsqiqAb\nbuDYW28T3b078evXu2Z9Y2hfsz3zu82nc53OTNg6gV4LerH+iGvWl+JHxSgRERERERERKZGMwxB6\na3VSTyQQ/2v+tt6LiOxOckICW5YtsTmdiIgI+FarSvhHH1Lt44+x4hPYe8+9HBrxLKknT7pk/VJ+\npXi51cuMv308aelpPLDkAUb9NIqY5BiXrC/Fh4pRIiIiIuIeOTqknJollbXfn4iIyOXxb1gOn8pB\nxC7PX3dUxdpXEN6gEZu+WUBaqoa6i4iIa4S0a0vthVGUGzKEs4sWsatDR05Pm4aVluaS9a+rfB2z\nu87m/ob3M2fnHLrO7crSvUtdsrYUDypGiYiIiIh7ZZsnleu2fcbJQ0RExAnGGEJvrUHqyUTif8lf\nd1TzyO7EnjzOnz//aHM6ERGRvzkCAgh74nF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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -330,7 +338,7 @@ " axs[1].scatter(G_nonzero[mask], data_nonzero[mask], s=3., marker='o')\n", "axs[1].set_title('Dmipy Verdict Results', fontsize=30)\n", "axs[1].set_xlabel('G(T/m)', fontsize=20)\n", - "axs[1].set_ylabel('S', fontsize=20);\n" + "axs[1].set_ylabel('S', fontsize=20);" ] }, { @@ -344,21 +352,22 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'C1Stick_1_lambda_par': array([ 6.50135504e-09]),\n", - " 'C1Stick_1_mu': array([[ 1.01233485, 0.60671024]]),\n", - " 'S4SphereGaussianPhaseApproximation_1_diameter': array([ 1.54848480e-05]),\n", - " 'partial_volume_0': array([ 0.76624602]),\n", - " 'partial_volume_1': array([ 0.0914321]),\n", - " 'partial_volume_2': array([ 0.14232188])}" + "{'C1Stick_1_lambda_par': array([6.58332016e-09]),\n", + " 'C1Stick_1_mu': array([[ 2.12873298, -2.53619312]]),\n", + " 'S0': array([[1., 1., 1., 1., 1., 1.]]),\n", + " 'S4SphereGaussianPhaseApproximation_1_diameter': array([1.54025803e-05]),\n", + " 'partial_volume_0': array([0.76130392]),\n", + " 'partial_volume_1': array([0.09744434]),\n", + " 'partial_volume_2': array([0.14125174])}" ] }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -394,7 +403,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", - "version": "2.7.14" + "version": "2.7.13" } }, "nbformat": 4, From 5e281aab463c0b28d59c26ab23e99b411f363922 Mon Sep 17 00:00:00 2001 From: Rutger Fick Date: Tue, 6 Nov 2018 22:54:40 +0100 Subject: [PATCH 33/37] pep8 --- dmipy/core/modeling_framework.py | 2 +- dmipy/optimizers_fod/csd_tournier.py | 1 - 2 files changed, 1 insertion(+), 2 deletions(-) diff --git a/dmipy/core/modeling_framework.py b/dmipy/core/modeling_framework.py index f7e89e04..69d1ae0f 100644 --- a/dmipy/core/modeling_framework.py +++ b/dmipy/core/modeling_framework.py @@ -1624,7 +1624,7 @@ def __call__(self, acquisition_scheme_or_vertices, if quantity == "signal": values += S0 * partial_volume * model.spherical_mean( - acquisition_scheme_or_vertices, **parameters) + acquisition_scheme_or_vertices, **parameters) elif quantity == "stochastic cost function": values[:, counter] = S0 * model.spherical_mean( acquisition_scheme_or_vertices, diff --git a/dmipy/optimizers_fod/csd_tournier.py b/dmipy/optimizers_fod/csd_tournier.py index f991a191..c4524b4f 100644 --- a/dmipy/optimizers_fod/csd_tournier.py +++ b/dmipy/optimizers_fod/csd_tournier.py @@ -1,5 +1,4 @@ import numpy as np -from .construct_observation_matrix import construct_model_based_A_matrix from dipy.data import get_sphere, HemiSphere from dipy.reconst.shm import real_sym_sh_mrtrix from dipy.utils.optpkg import optional_package From d26e91bf79a9727c5708002d86f28b734e0bb46c Mon Sep 17 00:00:00 2001 From: Rutger Fick Date: Tue, 6 Nov 2018 22:55:29 +0100 Subject: [PATCH 34/37] pep8 --- dmipy/core/modeling_framework.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dmipy/core/modeling_framework.py b/dmipy/core/modeling_framework.py index 69d1ae0f..6ce20706 100644 --- a/dmipy/core/modeling_framework.py +++ b/dmipy/core/modeling_framework.py @@ -1624,7 +1624,7 @@ def __call__(self, acquisition_scheme_or_vertices, if quantity == "signal": values += S0 * partial_volume * model.spherical_mean( - acquisition_scheme_or_vertices, **parameters) + acquisition_scheme_or_vertices, **parameters) elif quantity == "stochastic cost function": values[:, counter] = S0 * model.spherical_mean( acquisition_scheme_or_vertices, From ba5318e8f05335cecb7d93594df6c345676254e3 Mon Sep 17 00:00:00 2001 From: Rutger Fick Date: Tue, 6 Nov 2018 23:04:22 +0100 Subject: [PATCH 35/37] docs --- dmipy/core/modeling_framework.py | 29 +++++++++++++++++++++++++++++ 1 file changed, 29 insertions(+) diff --git a/dmipy/core/modeling_framework.py b/dmipy/core/modeling_framework.py index 6ce20706..f6a54a97 100644 --- a/dmipy/core/modeling_framework.py +++ b/dmipy/core/modeling_framework.py @@ -842,6 +842,35 @@ def _check_tissue_model_acquisition_scheme(self, acquisition_scheme): raise ValueError(msg) def _add_S0_parameter(self, data, mask=None, optimize_S0=False): + """ + Adds S0 to the optimized parameters. + + The number of S0 values is the same as the number of TEs in the + acquisition scheme (or 1 when it is not given). + + When the acquisition scheme has b0-measurements, then the initial value + of the S0 parameters is set to the mean of the b0s for that TE. + + The optimize_S0 option tells the optimization to include S0 in the + optimized parameters or not (i.e. if S0 can change to improve the + signal fit). + + If the acquisition scheme has no b0-measurements, and the data has + only one TE, then the S0 is estimated by fitting a Gaussian to the + non-b0 measurements in the acquisition scheme. However, optimize_S0 + must be set to True in this case. When there are multiple TEs and no + b0-measurement it gives a NotImplementedError. + + Parameters + ---------- + data: ND-array of size (Nx, ..., NDWIs), + the data array that is to be fitted. + mask = ND-array of size (Nx, ...), + mask of voxels inside data that are to be fitted. + optimize_S0: bool, + whether or not the optimize S0 as part of the parameters or leave + it fixed as mean of the b0-measurements. + """ scheme_has_b0s = np.sum(self.scheme.b0_mask) > 0 if scheme_has_b0s: if self.scheme.TE is None or len(np.unique(self.scheme.TE)) == 1: From e097e8caebf05abae4a4ea848217eda8959411c0 Mon Sep 17 00:00:00 2001 From: Rutger Fick Date: Tue, 6 Nov 2018 23:05:02 +0100 Subject: [PATCH 36/37] update readme --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index e2a63d6a..55c7f2f6 100644 --- a/README.md +++ b/README.md @@ -83,7 +83,7 @@ Dmipy uses HCP data to illustrate microstructure model examples. To reproduce th - [NODDI in Crossings (NODDIx) [Farooq et al. 2016]](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_mix_microstructure_imaging_in_crossings.ipynb) ### Tumor Models -- [IVIM [Le Bihan et al. 1988]](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/ivim/examples/example_ivim.ipynb) +- [IVIM [Le Bihan et al. 1988, Gurney-Champion et al. 2018]](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_ivim.ipynb) - [VERDICT [Panagiotaki et al. 2014]](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_verdict.ipynb) ### Spherical Mean-Based Models Any Spherical Mean model can also estimate parametric FODs. From 609a4c9cd434f3eb03b3766262ab462e39443313 Mon Sep 17 00:00:00 2001 From: Rutger Fick Date: Mon, 8 Apr 2019 21:15:06 +0200 Subject: [PATCH 37/37] bugfix S0 estimation --- dmipy/core/modeling_framework.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/dmipy/core/modeling_framework.py b/dmipy/core/modeling_framework.py index f6a54a97..b58bef29 100644 --- a/dmipy/core/modeling_framework.py +++ b/dmipy/core/modeling_framework.py @@ -871,12 +871,11 @@ def _add_S0_parameter(self, data, mask=None, optimize_S0=False): whether or not the optimize S0 as part of the parameters or leave it fixed as mean of the b0-measurements. """ - scheme_has_b0s = np.sum(self.scheme.b0_mask) > 0 + scheme_has_b0s = np.any(self.scheme.b0_mask) if scheme_has_b0s: if self.scheme.TE is None or len(np.unique(self.scheme.TE)) == 1: N_TE = 1 - self.S0_mapping = 1. - self.S0_mapping_sm = 1. + self.S0_mapping = self.S0_mapping_sm = 1. S0 = np.mean(data[..., self.scheme.b0_mask], axis=-1) else: # if multiple TE are in the data unique_TEs = np.unique(self.scheme.TE) @@ -898,6 +897,7 @@ def _add_S0_parameter(self, data, mask=None, optimize_S0=False): if (self.scheme.TE is None or len(np.unique(self.scheme.TE)) == 1): "fit each voxel using 2nd order polynomial" + N_TE = 1 self.S0_mapping = self.S0_mapping_sm = 1. S0 = np.zeros(data.shape[:-1]) mask_pos = np.where(mask)