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A novel low-rank model for MRI using the redundant wavelet tight frame

  • Published:2018-05 Issue: Volume:289 Page:180-187
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Chen Zhen,Fu YuliORCID,Xiang Youjun,Xu Junwei,Rong Rong

Funder

NSFC

SCUT

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference35 articles.

1. Sparse MRI: the application of compressed sensing for rapid MR imaging;Lustig;Magn. Reson. Med.,2007

2. A novel iterative shrinkage algorithm for CS-MRI via adaptive regularization;Chen;IEEE Signal Process. Lett.,2017

3. Improving multi-channel compressed sensing MRI with reweighted l1 minimization;Chang;Quant. Imag. Med. Surg.,2014

4. Smoothing and decomposition for analysis sparse recovery;Tan;IEEE Trans. Signal Process.,2014

5. Alternating direction method for balanced image restoration;Xie;IEEE Trans. Image Process.,2012

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