首页> Medical engineering & physics> Exploiting parameter sparsity in model-based reconstruction to accelerate proton density and T(2) mapping.

Exploiting parameter sparsity in model-based reconstruction to accelerate proton density and T(2) mapping.

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第一作者： Xi,Peng

第一单位： Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology of Chinese Academy of Sciences, Shenzhen, Guangdong, China; Beijing Center for Mathematics and Information Interdisciplinary Sciences, Beijing, China; Shenzhen Key Laboratory for MRI, Shenzhen, Guangdong, China.

作者： Xi,Peng ^[1] ; Xin,Liu ^[1] ; Hairong,Zheng ^[2] ; Dong,Liang ^[3]

作者单位： Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology of Chinese Academy of Sciences, Shenzhen, Guangdong, China; Beijing Center for Mathematics and Information Interdisciplinary Sciences, Beijing, China; Shenzhen Key Laboratory for MRI, Shenzhen, Guangdong, China. ^[1] Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology of Chinese Academy of Sciences, Shenzhen, Guangdong, China; Beijing Center for Mathematics and Information Interdisciplinary Sciences, Beijing, China. ^[2] Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology of Chinese Academy of Sciences, Shenzhen, Guangdong, China; Beijing Center for Mathematics and Information Interdisciplinary Sciences, Beijing, China; Shenzhen Key Laboratory for MRI, Shenzhen, Guangdong, China. Electronic address: dong.liang@siat.ac.cn. ^[3]

关键词 Alternating minimization Model-based reconstruction Parameter sparsity constraint Sparse reconstruction T(2) mapping

医学主题词脑图(Brain Mapping);图像处理, 计算机辅助(Image Processing, Computer-Assisted);磁共振成像(Magnetic Resonance Imaging);模型, 理论(Models, Theoretical);体模, 显象术(Phantoms, Imaging);质子(Protons);时间因素(Time Factors)

DOI 10.1016/j.medengphy.2014.06.002

PMID 24998900

发布时间 2014-12-02

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