Feasibility of accelerated non-contrast-enhanced whole-heart bSSFP coronary MR angiography by deep learning-constrained compressed sensing.

Abstract

Authors

• Xi Wu
• Lu Tang
  Department of Communication and Journalism, Texas A&M University.
• Wanjiang Li
  Department of Radiology, West China Hospital of Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
• Shuai He
  Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, 1 Dongjiaominxiang, Dongcheng District, Beijing, 100730, People's Republic of China.
• Xun Yue
  Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
• Pengfei Peng
  Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
• Tao Wu
  Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, Xinjiang, 830011, China.
• Xiaoyong Zhang
  Clinical Science, Philips Healthcare, Chengdu, China.
• Zhigang Wu
  State Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
• Yong He
  College of Biosystems Engineering and Food Science, Zhejiang Univ., Hangzhou, 310058, China.
• Yucheng Chen
  Cardiology Division, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
• Juan Huang
  State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Biosensing and Molecular Recognition, Nankai University, Tianjin 300071, PR China.
• Jiayu Sun
  Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.

Keywords

External Resources