An iterative reconstruction method for sparse-projection data for low-dose CT.

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第一作者： Ying,Huang

第一单位： School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China.

作者： Ying,Huang ^[1] ; Qian,Wan ^[2] ; Zixiang,Chen ^[2] ; Zhanli,Hu ^[3] ; Guanxun,Cheng ^[2] ; Yulong,Qi ^[2]

作者单位： School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China. ^[1] Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. ^[2] Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Beijing, China. ^[3] Department of Radiology, Peking University Shenzhen Hospital, Shenzhen, China. ^[4]

关键词 X-ray computed tomography (CT)image reconstruction reduction of X-ray dose reduction of image noise total variation (TV)

主题词算法(Algorithms);伪迹(Artifacts);人类(Humans);图像处理, 计算机辅助(Image Processing, Computer-Assisted);体模, 显象术(Phantoms, Imaging);体层摄影术, X线计算机(Tomography, X-Ray Computed)

DOI 10.3233/XST-210906

PMID 34366362

发布时间 2022-04-01

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