From 4965d622fd0adadf049ec83484e5a7978a5b679b Mon Sep 17 00:00:00 2001 From: SamBrenny <149430551+SamBrenny@users.noreply.github.com> Date: Thu, 16 Nov 2023 14:34:09 -0600 Subject: [PATCH 1/4] Update README.md --- README.md | 25 +++++++++++++++++++------ 1 file changed, 19 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index c66c437..47384a2 100644 --- a/README.md +++ b/README.md @@ -1,12 +1,25 @@ # SlicerMp2rageBackgroundSuppression This is an extension for 3D Slicer that is used to filter background noise (aka denoising) for MP2RAGE Image acquisitions. -Required Inputs: +## Instructions for manual installation of extension (via github) + +NOTE: This is only for developmental purposes and for slicer extension download refer to xxxxx + +1. Open a terminal, change directory to the path that you will input into Step 3, and type into the command line: + +`git clone git@github.com:harellab/SlicerMp2rageBackgroundSuppression.git` + +2. Open Slicer and go to Edit → Application Settings → Modules +3. Copy the mp2rageBackgroundSuppression directory path into the Additional module paths and click ok + +Note: the module path will be the directory where the github was cloned with ~/mp2rageBackgroundSuppression/BackgroundNoiseSuppression + +## Required Inputs: 1. MP2RAGE uniform images (UNI) 2. The first inversion recovery sequence (INV1) from MP2RAGE 3. The second inversion recovery sequence (INV2) from MP2RAGE -Extension Workflow: +## Extension Workflow: 1. Load the MP2RAGE data sets (UNI, INV1, INV2) into 3D Slicer as volumes. ![Alt text](Screenshot1.png) @@ -15,15 +28,15 @@ Extension Workflow: ![Alt text](Screenshot2.png) -Disclaimer +## Disclaimer Mp2rageBackgroundSuppression, same as 3D Slicer, is a research software. It is NOT an FDA-approved medical device. It is not intended for clinical use. The user assumes full responsibility to comply with the appropriate regulations. -Support +## Support Please feel free to contact The Harel Lab github organization for questions, feedback, suggestions or bugs. https://github.com/harellab/SlicerMp2rageBackgroundSuppression/issues -Acknowledgments +## Acknowledgments Development of mp2rageBackgroundSuppression was supported in part by the following NIH grants: -Udall NIH P50 NS123109 \ No newline at end of file +Udall NIH P50 NS123109 From 5a40a1e24c877390af25dc6a0ed33ba6c3244017 Mon Sep 17 00:00:00 2001 From: Henry Braun Date: Mon, 20 Nov 2023 09:15:34 -0900 Subject: [PATCH 2/4] add intro, move install instructions to README --- ...Noise Suppression Module Installation.docx | Bin 874147 -> 0 bytes README.md | 42 +++++++++++++++--- doc/AdditionalModulePaths.png | Bin 0 -> 436218 bytes doc/FavoriteModules.png | Bin 0 -> 444151 bytes 4 files changed, 35 insertions(+), 7 deletions(-) delete mode 100644 Mp2rage Background Noise Suppression 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yX7siYLNlW;R5MD;2wgvVF^16J76{dkR;UGdvjS5b0|OrrwgdACTQD$xG5`QFmM6gg diff --git a/README.md b/README.md index 47384a2..a1dfbc2 100644 --- a/README.md +++ b/README.md @@ -1,25 +1,46 @@ # SlicerMp2rageBackgroundSuppression -This is an extension for 3D Slicer that is used to filter background noise (aka denoising) for MP2RAGE Image acquisitions. -## Instructions for manual installation of extension (via github) +This is an extension for 3D Slicer that provides tools for working with MRI +images using the MP2RAGE contrast. Currently it supplies a single tool for suppressing divide-by-zero background noise (aka denoising). -NOTE: This is only for developmental purposes and for slicer extension download refer to xxxxx +The MP2RAGE MRI contrast [1](#1) is acquired by simultaneously collecting two MPRAGE images at different inversion times and combining them to form a new, derived contrast. MP2RAGE generates excellent T1-weighted images and is useful for generating other derived contrasts (e.g. T1 maps, synthetic white matter-nulled T1s, and synthetic FGATIR[2](#2)). However, it contains “salt-and-pepper” noise, rather than zero values, in areas of low or no signal. This noise can cause algorithms developed for traditional T1 images processing to fail. A “denoising” (more accurately, background suppression) method for eliminating such noise has been published[3](#3), but it relies on additional phase data which is typically not available. This extension implements a method for retrospectively applying a similar noise suppression approach which relies only on available scanner output images. + +## Installation Instructions +1. In Slicer, open the Extensions Manager +(View &rarr Extensions Manager). + +2. Search for `MP2RAGE` and click `INSTALL` + +3. Restart Slicer. + + +### Alternate Installation Method: Manual Installation Via Github +For development and testing, the extension may also be installed from the +project's GitHub repository. 1. Open a terminal, change directory to the path that you will input into Step 3, and type into the command line: -`git clone git@github.com:harellab/SlicerMp2rageBackgroundSuppression.git` + `git clone git@github.com:harellab/SlicerMp2rageBackgroundSuppression.git` 2. Open Slicer and go to Edit → Application Settings → Modules 3. Copy the mp2rageBackgroundSuppression directory path into the Additional module paths and click ok -Note: the module path will be the directory where the github was cloned with ~/mp2rageBackgroundSuppression/BackgroundNoiseSuppression + Note: the module path will be the directory where the github was cloned + with ~/mp2rageBackgroundSuppression/BackgroundNoiseSuppression +![Alt text](doc/AdditionalModulePaths.png) -## Required Inputs: +4. Restart Slicer and go back to +Edit → Application Settings → Modules. Make sure the BackgroundNoiseSupression module checkbox is checked, click and drag the module to the Favorite Modules list. +![Alt text](doc/FavoriteModules.png) + +## Usage + +### Required Inputs: 1. MP2RAGE uniform images (UNI) 2. The first inversion recovery sequence (INV1) from MP2RAGE 3. The second inversion recovery sequence (INV2) from MP2RAGE -## Extension Workflow: +### Extension Workflow: 1. Load the MP2RAGE data sets (UNI, INV1, INV2) into 3D Slicer as volumes. ![Alt text](Screenshot1.png) @@ -40,3 +61,10 @@ Please feel free to contact The Harel Lab github organization for questions, fee Development of mp2rageBackgroundSuppression was supported in part by the following NIH grants: Udall NIH P50 NS123109 + +## References +1. Marques JP, Kober T, Krueger G, Van Der Zwaag W, Van De Moortele PF, Gruetter R. MP2RAGE, a self bias-field corrected sequence for improved segmentation and T1-mapping at high field. *NeuroImage*. 2010;49(2):1271-1281. doi:10.1016/j.neuroimage.2009.10.002 + +2. Middlebrooks EH, Tao S, Zhou X, et al. Synthetic Inversion Image Generation using MP2RAGE T1 Mapping for Surgical Targeting in Deep Brain Stimulation and Lesioning. *Ster Funct Neurosurg*. 2023;101(5):326-331. doi:10.1159/000533259 + +2. O’Brien KR, Kober T, Hagmann P, et al. Robust T1-Weighted Structural Brain Imaging and Morphometry at 7T Using MP2RAGE. 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typos --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index a1dfbc2..510abed 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ This is an extension for 3D Slicer that provides tools for working with MRI images using the MP2RAGE contrast. Currently it supplies a single tool for suppressing divide-by-zero background noise (aka denoising). -The MP2RAGE MRI contrast [1](#1) is acquired by simultaneously collecting two MPRAGE images at different inversion times and combining them to form a new, derived contrast. MP2RAGE generates excellent T1-weighted images and is useful for generating other derived contrasts (e.g. T1 maps, synthetic white matter-nulled T1s, and synthetic FGATIR[2](#2)). However, it contains “salt-and-pepper” noise, rather than zero values, in areas of low or no signal. This noise can cause algorithms developed for traditional T1 images processing to fail. A “denoising” (more accurately, background suppression) method for eliminating such noise has been published[3](#3), but it relies on additional phase data which is typically not available. This extension implements a method for retrospectively applying a similar noise suppression approach which relies only on available scanner output images. +The MP2RAGE MRI contrast[1](#1) is acquired by simultaneously collecting two MPRAGE images at different inversion times and combining them to form a new, derived contrast. MP2RAGE generates excellent T1-weighted images and is useful for generating other derived contrasts (e.g. T1 maps, synthetic white matter-nulled T1s, and synthetic FGATIR[2](#2)). However, it contains “salt-and-pepper” noise, rather than zero values, in areas of low or no signal. This noise can cause algorithms developed for traditional T1 images processing to fail. A “denoising” (more accurately, background suppression) method for eliminating such noise has been published[3](#3), but it relies on additional phase data which is typically not available. This extension implements a method for retrospectively applying a similar noise suppression approach which relies only on available scanner output images. ## Installation Instructions 1. In Slicer, open the Extensions Manager @@ -67,4 +67,4 @@ Udall NIH P50 NS123109 2. Middlebrooks EH, Tao S, Zhou X, et al. Synthetic Inversion Image Generation using MP2RAGE T1 Mapping for Surgical Targeting in Deep Brain Stimulation and Lesioning. *Ster Funct Neurosurg*. 2023;101(5):326-331. doi:10.1159/000533259 -2. O’Brien KR, Kober T, Hagmann P, et al. Robust T1-Weighted Structural Brain Imaging and Morphometry at 7T Using MP2RAGE. Margulies D, ed. *PLoS ONE*. 2014;9(6):e99676. doi:10.1371/journal.pone.0099676 \ No newline at end of file +2. O’Brien KR, Kober T, Hagmann P, et al. Robust T1-Weighted Structural Brain Imaging and Morphometry at 7T Using MP2RAGE. Margulies D, ed. *PLoS ONE*. 2014;9(6):e99676. doi:10.1371/journal.pone.0099676 \ No newline at end of file From 403521bce8bbe2e1c941af441074c70c74246915 Mon Sep 17 00:00:00 2001 From: Henry Braun Date: Mon, 20 Nov 2023 09:19:44 -0900 Subject: [PATCH 4/4] correct reference number --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 510abed..4e762a1 100644 --- a/README.md +++ b/README.md @@ -67,4 +67,4 @@ Udall NIH P50 NS123109 2. Middlebrooks EH, Tao S, Zhou X, et al. Synthetic Inversion Image Generation using MP2RAGE T1 Mapping for Surgical Targeting in Deep Brain Stimulation and Lesioning. *Ster Funct Neurosurg*. 2023;101(5):326-331. doi:10.1159/000533259 -2. O’Brien KR, Kober T, Hagmann P, et al. Robust T1-Weighted Structural Brain Imaging and Morphometry at 7T Using MP2RAGE. Margulies D, ed. *PLoS ONE*. 2014;9(6):e99676. doi:10.1371/journal.pone.0099676 \ No newline at end of file +3. O’Brien KR, Kober T, Hagmann P, et al. Robust T1-Weighted Structural Brain Imaging and Morphometry at 7T Using MP2RAGE. Margulies D, ed. *PLoS ONE*. 2014;9(6):e99676. doi:10.1371/journal.pone.0099676 \ No newline at end of file

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