Adjustable shrinkage-thresholding projection algorithm for compressed sensing magnetic resonance imaging-Reference-Cited by-同舟云学术

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Adjustable shrinkage-thresholding projection algorithm for compressed sensing magnetic resonance imaging

Published:2022-02 Issue: Volume:86 Page:74-85
ISSN:0730-725X
Container-title:Magnetic Resonance Imaging
language:en
Short-container-title:Magnetic Resonance Imaging

Author:

Lang Jun,Gang Kaixuan,Zhang Changchun

Funder

National Natural Science Foundation of China

Northeastern University

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Biophysics

Reference35 articles.

1. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information;Candes;IEEE Trans Inf Theory,2006

2. Compressed sensing;Donoho;IEEE Trans Inf Theory,2006

3. Toeplitz compressed sensing matrices with applications to sparse channel estimation;Haupt;IEEE Trans Inf Theory,2010

4. Sparsity and incoherence in compressive sampling;Candes;Inverse Prob,2007

5. Sparse approximate solutions to linear system;Natarajan;SIAM J Comput,1995

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1. Compressed sensing magnetic resonance imaging (CS-MRI) diagnosis of rotator cuff tears;American Journal of Translational Research;2024

2. Undersampled MRI reconstruction based on spectral graph wavelet transform;Computers in Biology and Medicine;2023-05

3. Modified Iterative Shrinkage Thresholding Algorithm for Image De-blurring in Medical Imaging;Third Congress on Intelligent Systems;2023

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