Compressed sensing using a deep adaptive perceptual generative adversarial network for MRI reconstruction from undersampled K-space data-Reference-Cited by-同舟云学术

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Compressed sensing using a deep adaptive perceptual generative adversarial network for MRI reconstruction from undersampled K-space data

Published:2024-10 Issue: Volume:96 Page:106560
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Wu Kun,Xia Yan,Ravikumar Nishant,Frangi Alejandro F.^ORCID

Publisher

Elsevier BV

Reference35 articles.

1. Simultaneous acquisition of spatial harmonics (SMASH): fast imaging with radiofrequency coil arrays;Sodickson;Magn. Reson. Med.,1997

2. Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information;Candès;IEEE Trans. Inform. Theory,2006

3. Compressed sensing;Donoho;IEEE Trans. Inform. Theory,2006

4. Undersampled radial MRI with multiple coils. Iterative image reconstruction using a total variation constraint;Block;Magn. Reson. Med.: Off. J. Int. Soc. Magn. Reson. Med.,2007

5. Compressed sensing MRI with phase noise disturbance based on adaptive tight frame and total variation;Fan;IEEE Access,2017

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