Efficient operator splitting algorithm for joint sparsity-regularized SPIRiT-based parallel MR imaging reconstruction

Self-consistent parallel imaging (SPIRiT) is an auto-calibrating model for the reconstruction of parallel magnetic resonance imaging, which can be formulated as a regularized SPIRiT problem. The Projection Over Convex Sets (POCS) method was used to solve the formulated regularized SPIRiT problem. Ho...

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Bibliographic Details
Published in:	Magnetic resonance imaging Vol. 46; pp. 81 - 89
Main Authors:	Duan, Jizhong, Liu, Yu, Jing, Peiguang
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier Inc 01.02.2018
Subjects:	Algorithms Auto-calibrating Barzilai and Borwein method Brain - diagnostic imaging Calibration Computer Simulation FISTA Humans Image Processing, Computer-Assisted Joint total variation Linear Models Magnetic Resonance Imaging Operator splitting Parallel magnetic resonance imaging Self-consistent parallel imaging (SPIRiT) Software 99-00 FISTA Barzilai and Borwein method 00-01 Joint total variation Auto-calibrating Operator splitting Parallel magnetic resonance imaging Self-consistent parallel imaging (SPIRiT)
ISSN:	0730-725X, 1873-5894, 1873-5894
Online Access:	Get full text
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