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Efficient Dynamic Parallel MRI Reconstruction for the Low-Rank Plus Sparse Model.

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第一作者： Claire Yilin,Lin

第一单位： Department of Mathematics, University of Michigan, Ann Arbor, MI, 48109 USA (yilinlin@umich.edu).

作者： Claire Yilin,Lin ^[1] ; Jeffrey A,Fessler ^[2]

作者单位： Department of Mathematics, University of Michigan, Ann Arbor, MI, 48109 USA (yilinlin@umich.edu). ^[1] J. A. Fessler is with the Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109 USA (fessler@umich.edu). ^[2]

关键词 Parallel Magnetic Resonance Imaging (MRI)accelerated algorithms augmented Lagrangian (AL)dynamic MRI low-rank proximal gradient method (PGM)sparsity variable splitting

DOI 10.1109/TCI.2018.2882089

PMID 31750391

发布时间 2024-07-22

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IEEE transactions on computational imaging

2019年5卷1期

17-26页

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IEEE transactions on computational imaging

2019年5卷1期

17-26页

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Efficient Dynamic Parallel MRI Reconstruction for the Low-Rank Plus Sparse Model.

IEEE transactions on computational imaging

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IEEE transactions on computational imaging

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Efficient Dynamic Parallel MRI Reconstruction for the Low-Rank Plus Sparse Model.

IEEE transactions on computational imaging

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IEEE transactions on computational imaging

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