Low-rank plus sparse joint smoothing model based on tensor singular value decomposition for dynamic MRI reconstruction.

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第一作者： Xiaotong,Liu

第一单位： Tianjin Key Laboratory of Electronic Materials and Devices, School of Electronics and Information Engineering, Hebei University of Technology, 340 Xiping Road, Beichen District, Tianjin 300401, PR China.

作者： Xiaotong,Liu ^[1] ; Jingfei,He ^[2] ; Chenghu,Mi ^[1] ; Xiaoyue,Zhang ^[1]

作者单位： Tianjin Key Laboratory of Electronic Materials and Devices, School of Electronics and Information Engineering, Hebei University of Technology, 340 Xiping Road, Beichen District, Tianjin 300401, PR China. ^[1] Tianjin Key Laboratory of Electronic Materials and Devices, School of Electronics and Information Engineering, Hebei University of Technology, 340 Xiping Road, Beichen District, Tianjin 300401, PR China. Electronic address: hejingfei@hebut.edu.cn. ^[2]

关键词 Dynamic magnetic resonance imaging Low rank plus sparsity model Smoothness Tensor singular value decomposition Tensor total variation constraint

主题词人类(Humans);磁共振成像(Magnetic Resonance Imaging);图像处理, 计算机辅助(Image Processing, Computer-Assisted);算法(Algorithms);心脏(Heart)

DOI 10.1016/j.mri.2023.09.003

PMID 37741515

发布时间 2024-11-04

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