Reducing both radiation and contrast doses for overweight patients in coronary CT angiography with 80-kVp and deep learning image reconstruction.

Journal: European journal of radiology
PMID:

Abstract

PURPOSE: To investigate the use of an 80-kVp tube voltage combined with a deep learning image reconstruction (DLIR) algorithm in coronary CT angiography (CCTA) for overweight patients to reduce radiation and contrast doses in comparison with the 120-kVp protocol and adaptive statistical iterative reconstruction (ASIR-V).

Authors

  • Wanjiang Li
    Department of Radiology, West China Hospital of Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
  • Haiyan Lu
    Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
  • Yuting Wen
  • Minggang Zhou
    Department of Cardiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
  • Tao Shuai
    Department of Radiology, West China Hospital of Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
  • Yongchun You
    Department of Radiology, West China Hospital of Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
  • Jin Zhao
    Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences, 36 Lazi East Road, Tianfu New Area, Chengdu, 610000, China.
  • Kai Liao
    Department of Radiology, West China Hospital of Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
  • Chunyan Lu
    Department of Endocrinology, West China Hospital, Sichuan University, Chengdu, China.
  • Jianying Li
    CT Research Center, GE Healthcare China, Beijing 100176, China.
  • Zhenlin Li
    Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, P.R.China.
  • Kaiyue Diao
    Department of Radiology, West China Hospital of Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
  • Yong He
    College of Biosystems Engineering and Food Science, Zhejiang Univ., Hangzhou, 310058, China.