k-t SPARSE-SENSE Matlab Code

k-t SPARSE-SENSE Matlab Code

Author: 
Ricardo Otazo

Combination of compressed sensing and parallel imaging for accelerated dynamic MRI (see Compressed-Sensing project) as described in:

Otazo R, Kim D, Axel L, Sodickson DK. Combination of compressed sensing and parallel imaging for highly accelerated first-pass cardiac perfusion MRI. Magn Reson Med. 2010; 64(3):767-76.

The Matlab code includes reconstruction algorithms and examples for cardiac cine and perfusion MRI. The non-linear reconstruction algorithm was implemented using conjugate gradient (originally described in the paper) and iterative soft-thresholding.

 

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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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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