SigPy for MRI Tutorial

In this tutorial, you will learn how to use SigPy for MRI reconstruction.

There are three parts of the tutorial:

Gridding Reconstruction: This notebook goes through basic features of SigPy using the gridding reconstruction as an example usage.
Parallel Imaging Compressed Sensing Reconstruction: This notebook shows how to run Apps in SigPy to perform parallel imaging compressed sensing reconstructions.
Buiding a Parallel Imaging Compressed Sensing App: This notebook shows how to create an L1 wavelet regularized reconstruction App from scratch.

Some topics that are not covered in this tutorial:

Non-Cartesian support in MRI Apps.
MRI simulation functions, such as generating Poisson disk sampling using poisson.
Plotting functions.
Multi-CPU and GPUs using MPI.
PyTorch interopability.

Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
data		data
01-gridding-reconstruction.ipynb		01-gridding-reconstruction.ipynb
02-parallel-imaging-compressed-sensing-reconstruction.ipynb		02-parallel-imaging-compressed-sensing-reconstruction.ipynb
03-building-an-l1-wavelet-recon-app.ipynb		03-building-an-l1-wavelet-recon-app.ipynb
LICENSE		LICENSE
README.md		README.md
requirements.txt		requirements.txt

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