L+S Reconstruction Matlab Code

L+S Reconstruction Matlab Code

Author: 
Ricardo Otazo

Low-rank plus sparse (L+S) reconstruction for undersampled dynamic MRI as described in the paper:
 
Otazo R, Candes E, Sodickson DK. Low-rank and sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components. Magnetic Resonance in Medicine 2014 - in press
 
The Matlab code includes core reconstruction algorithms and examples using Cartesian and golden-angle radial data sets.
 
 

PLEASE NOTE: The software available on this page is provided free of charge and comes without any warranty. CAI²R and the NYU School of Medicine do not take any liability for problems or damage of any kind resulting from the use of the files provided. Operation of the software is solely at the user's own risk. The software developments provided are not medical products and must not be used for making diagnostic decisions.

The software is provided for non-commercial, academic use only. Usage or distribution of the software for commercial purpose is prohibited. All rights belong to the author (Ricardo Otazo) and the NYU School of Medicine. If you use the software for academic work, please give credit to the author in publications and cite the related publications.

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Latest Updates

06/23/2017 - 10:49
06/23/2017 - 10:42

Philanthropic Support

We gratefully acknowledge generous support for radiology research at NYU Langone Medical Center from:
 
• The Big George Foundation
• Raymond and Beverly Sackler
• Bernard and Irene Schwartz

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