Multidimensional Compressed Sensing MRI Using Tensor Decomposition-Based Sparsifying Transform-Reference-Cited by-同舟云学术

Multidimensional Compressed Sensing MRI Using Tensor Decomposition-Based Sparsifying Transform

Published:2014-06-05 Issue:6 Volume:9 Page:e98441
ISSN:1932-6203
Container-title:PLoS ONE
language:en
Short-container-title:PLoS ONE

Author:

Yu Yeyang,Jin Jin,Liu Feng,Crozier Stuart

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference61 articles.

1. Snapshot flash mri. applications to t1, t2, and chemical-shift imaging;A Haase;Magnetic Resonance in Medicine,1990

2. Echo-planar imaging: magnetic resonance imaging in a fraction of a second;MK Stehling;Science,1991

3. Compressed sensing;DL Donoho;IEEE Transactions on Information Theory,2006

4. Lustig M, Santos JM, Donoho DL, Pauly JM (2006) kt SPARSE: High frame rate dynamic MRI exploiting spatio-temporal sparsity. Proceedings of the 13th Annual Meeting of ISMRM, Seattle. 2420.

5. Compressed sensing MRI;M Lustig;IEEE Signal Processing Magazine,2008

Cited by 46 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dynamic MRI reconstruction via multi-directional low-rank tensor regularization;Biomedical Signal Processing and Control;2025-01

2. Low-rank tensor assisted K-space generative model for parallel imaging reconstruction;Magnetic Resonance Imaging;2023-11

3. Multidimensional compressed sensing to advance ²³Na multi‐quantum coherences MRI;Magnetic Resonance in Medicine;2023-10-26

4. A three‐dimensional Magnetic Resonance Spin Tomography in Time‐domain protocol for high‐resolution multiparametric quantitative magnetic resonance imaging;NMR in Biomedicine;2023-10-19

5. Non-local tensor sparse representation and tensor low rank regularization for dynamic MRI reconstruction;International Journal of Machine Learning and Cybernetics;2023-09-08