Ultra-low-dose coronary CT angiography via super-resolution deep learning reconstruction: impact on image quality, coronary plaque, and stenosis analysis.

Abstract

Authors

• Li-Miao Zou
  Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
• Cheng Xu
  School of Photovoltaic and Renewable Energy Engineering, University of New South Wales, 2052 Sydney, Australia.
• Min Xu
  Department of Gastroenterology, Shanghai First People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
• Ke-Ting Xu
  Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
• Zi-Cheng Zhao
  Canon Medical System, Beijing, China.
• Ming Wang
  Brain center, Zhejiang Hospital, Hangzhou, China.
• Yun Wang
  Department of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, People's Republic of China.
• Yi-Ning Wang
  Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China. wangyining@pumch.cn.

Keywords

External Resources