Sparse parallel MRI based on accelerated operator splitting schemes
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Publication:2013007
DOI10.1155/2016/1724630zbMath1367.92058OpenAlexW2523671199WikidataQ37322850 ScholiaQ37322850MaRDI QIDQ2013007
Dong Liang, Zhenghang Su, Nian Cai, Weisi Xie, Shan-shan Wang
Publication date: 3 August 2017
Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2016/1724630
Uses Software
Cites Work
- Fast Algorithms for Image Reconstruction with Application to Partially Parallel MR Imaging
- A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
- The Split Bregman Method for L1-Regularized Problems
- A Fast Algorithm for Edge-Preserving Variational Multichannel Image Restoration
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction
- Two-Point Step Size Gradient Methods
- Splitting Algorithms for the Sum of Two Nonlinear Operators
- Iterative Methods for Total Variation Denoising
- Sparsity and incoherence in compressive sampling
- Signal Recovery by Proximal Forward-Backward Splitting
- Total Generalized Variation
- Compressed sensing
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