Iterative image reconstruction for sparse-view CT via total variation regularization and dictionary learning.

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第一作者： Xianyu,Zhao

第一单位： Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.;School of Information Engineering, Wuhan University of Technology, Wuhan, China.

作者： Xianyu,Zhao ^[1] ; Changhui,Jiang ^[2] ; Qiyang,Zhang ^[2] ; Yongshuai,Ge ^[2] ; Dong,Liang ^[2] ; Xin,Liu ^[2] ; Yongfeng,Yang ^[2] ; Hairong,Zheng ^[2] ; Zhanli,Hu ^[2]

作者单位： Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.;School of Information Engineering, Wuhan University of Technology, Wuhan, China. ^[1] Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. ^[2]

关键词 Low dose computed tomography dictionary learning penalized weighted least squares total variation

主题词算法(Algorithms);图像处理, 计算机辅助(Image Processing, Computer-Assisted);最小二乘法分析(Least-Squares Analysis);体模, 显象术(Phantoms, Imaging);辐射剂量(Radiation Dosage);体层摄影术, X线计算机(Tomography, X-Ray Computed)

DOI 10.3233/XST-180477

PMID 31177258

发布时间 2020-07-24

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准确一般字义偏差语意偏离译文作用小提交