Second order TGV reconstruction for undersampled radial MR

Second order TGV reconstruction for undersampled radial MR

Florian Knoll

Matlab reconstruction code for undersampled radial data using a second order Total Generalized Variation constraint and a primal dual extragradient method according to the publication:
Knoll, F.; Bredies, K.; Pock, T.; Stollberger, R.: "Second Order Total Generalized Variation (TGV) for MRI." Magnetic Resonance in Medicine, 65: 480-491 (2011).
We have also posted a more efficient GPU implementation.


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 (Florian Knoll) 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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Philanthropic Support

We gratefully acknowledge generous support for radiology research at NYU Langone Health from:
• The Big George Foundation
• Bernard and Irene Schwartz

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