Awesome
CS_MoCo_LAB 
Compressed Sensing and Motion Correction LAB: An MR acquisition and reconstruction system
Generate a Compressed Sensing (CS) accelerated MR sequence and reconstruct the acquired data online on the scanner by means of Gadgetron or offline on an external workstation.
Acquistion
- Generic subsampling class for Compressed Sensing acquisitions
- CS accelerated gradient echo sequence (2D, 2D+time, 3D, 3D+time): CS_FLASH (Siemens, VB20P)
- MR motion imaging sequence (4D, 5D): CS_Retro (Siemens, VB20P, VE11C, VE11P)
Reconstruction
- CS and motion-resolved reconstruction system for Gadgetron (C++)
- CS reconstruction system in Matlab (including a GUI)
Applications
Compressed Sensing MRI
https://sites.google.com/site/kspaceastronauts/compressed-sensing/espresso <br/> https://sites.google.com/site/kspaceastronauts/compressed-sensing/cslab
Motion MR imaging
https://sites.google.com/site/kspaceastronauts/motion-correction/4d-mr-imaging <br/> https://github.com/thomaskuestner/4DMRImaging
PET/MR motion correction
https://sites.google.com/site/kspaceastronauts/motion-correction/pet-mr-motion-correction
- acquisition: CS_Retro (Siemens, VB20P, VE11C, VE11P)
- reconstruction: CS_LAB in gadgetron + data emitters and injectors
Image Registration
https://sites.google.com/site/kspaceastronauts/motion-correction/mocogui
Installation
More information: https://sites.google.com/site/kspaceastronauts/compressed-sensing/cslab#TOC-Prerequisites
Gadgetron 
standalone<br/>
git clone https://github.com/thomaskuestner/CS_MoCo_LAB.git
mkdir build
cd build
cmake ../
make
sudo make install
docker
docker pull kspaceastronauts/cs_moco_lab
docker run -it --volume $(pwd):/opt/data kspaceastronauts/cs_moco_lab
Matlab
git clone https://github.com/thomaskuestner/CS_MoCo_LAB.git
cd CS_MoCo_LAB/matlab/CS_LAB_GUI
matlab CS_LAB_GUI
References
<b>MR-based respiratory and cardiac motion correction for PET imaging</b>.<br/> <i>Medical Image Analysis</i>, 2017. <br/>Thomas Küstner, Martin Schwartz, Petros Martirosian, Sergios Gatidis, Ferdinand Seith, Christopher Gilliam, Thierry Blu, Hadi Fayad, Dimitris Visvikis, F. Schick, B. Yang, H. Schmidt and N.F Schwenzer. <br/><a href="http://dx.doi.org/10.1016/j.media.2017.08.002">[doi]</a> <a onclick="toggleBibtex('thomaskuestner', '373a2d347e30bfae4639dd40daaba4f3', 'https://puma.ub.uni-stuttgart.de/bibtex/2373a2d347e30bfae4639dd40daaba4f3/thomaskuestner?format=bibtex'); return false;" href="https://puma.ub.uni-stuttgart.de/bibtex/2373a2d347e30bfae4639dd40daaba4f3/thomaskuestner?format=bibtex">[BibTeX]</a> <a onclick="toggleEndnote('thomaskuestner', '373a2d347e30bfae4639dd40daaba4f3', 'https://puma.ub.uni-stuttgart.de/bibtex/2373a2d347e30bfae4639dd40daaba4f3/thomaskuestner?format=endnote'); return false;" href="https://puma.ub.uni-stuttgart.de/bibtex/2373a2d347e30bfae4639dd40daaba4f3/thomaskuestner?format=endnote">[Endnote]</a>
<b>Compressed Sensing LAB: An MR acquisition and reconstruction system</b>. <br/> <i>Proceedings of the ISMRM Workshop on Data Sampling and Reconstruction</i>. Sedona, AZ, USA, 2016. <br/>Thomas Küstner, Martin Schwartz, Christian Würslin, Petros Martirosian, Nina F. Schwenzer, Bin Yang and Holger Schmidt. <br/><a onclick="toggleBibtex('thomaskuestner', 'a2f614af9059696b743e4a8cd0b1f7e4', 'https://puma.ub.uni-stuttgart.de/bibtex/2a2f614af9059696b743e4a8cd0b1f7e4/thomaskuestner?format=bibtex'); return false;" href="https://puma.ub.uni-stuttgart.de/bibtex/2a2f614af9059696b743e4a8cd0b1f7e4/thomaskuestner?format=bibtex">[BibTeX]</a> <a onclick="toggleEndnote('thomaskuestner', 'a2f614af9059696b743e4a8cd0b1f7e4', 'https://puma.ub.uni-stuttgart.de/bibtex/2a2f614af9059696b743e4a8cd0b1f7e4/thomaskuestner?format=endnote'); return false;" href="https://puma.ub.uni-stuttgart.de/bibtex/2a2f614af9059696b743e4a8cd0b1f7e4/thomaskuestner?format=endnote">[Endnote]</a> <div id="abs_a2f614af9059696b743e4a8cd0b1f7e4thomaskuestner" style="display:none;border:1px dotted grey;">
<b>Image Reconstruction System for Compressed Sensing Retrospective Motion Correction for the Application in Clinical Practice</b>. <br/> <i>Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM)</i>. Singapore, 2016. <br/>Martin Schwartz, Thomas Küstner, Christian Würslin, Petros Martirosian, Nina F. Schwenzer, Fritz Schick, Bin Yang and Holger Schmidt. <br/><a onclick="toggleBibtex('thomaskuestner', 'd4738bfd3b3a4eeefd763dec15715d9d', 'https://puma.ub.uni-stuttgart.de/bibtex/2d4738bfd3b3a4eeefd763dec15715d9d/thomaskuestner?format=bibtex'); return false;" href="https://puma.ub.uni-stuttgart.de/bibtex/2d4738bfd3b3a4eeefd763dec15715d9d/thomaskuestner?format=bibtex">[BibTeX]</a> <a onclick="toggleEndnote('thomaskuestner', 'd4738bfd3b3a4eeefd763dec15715d9d', 'https://puma.ub.uni-stuttgart.de/bibtex/2d4738bfd3b3a4eeefd763dec15715d9d/thomaskuestner?format=endnote'); return false;" href="https://puma.ub.uni-stuttgart.de/bibtex/2d4738bfd3b3a4eeefd763dec15715d9d/thomaskuestner?format=endnote">[Endnote]</a>
Please read LICENSE file for licensing details.
Detailed information and installation instructions are available at: <br/> https://sites.google.com/site/kspaceastronauts/compressed-sensing/cslab