Deep learning reconstruction for coronary CT angiography in patients with origin anomaly, stent or bypass graft.

Journal: La Radiologia medica
PMID:

Abstract

PURPOSE: To develop and validate a deep learning (DL)-model for automatic reconstruction for coronary CT angiography (CCTA) in patients with origin anomaly, stent or bypass graft.

Authors

  • Lihua Yu
    From the Departments of Radiology (M.L., LY., J.Z.) and Cardiology (W.Y.), Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 85 Wujin Rd, Shanghai 200080, China; Institute of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China (R.L.); and Shanghai United Imaging Intelligence, Shanghai, China (Z.C., D.W.).
  • Yarong Yu
    Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, 200080, China.
  • Meiling Li
    From the Departments of Radiology (M.L., LY., J.Z.) and Cardiology (W.Y.), Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 85 Wujin Rd, Shanghai 200080, China; Institute of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China (R.L.); and Shanghai United Imaging Intelligence, Shanghai, China (Z.C., D.W.).
  • Runjianya Ling
    From the Departments of Radiology (M.L., LY., J.Z.) and Cardiology (W.Y.), Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 85 Wujin Rd, Shanghai 200080, China; Institute of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China (R.L.); and Shanghai United Imaging Intelligence, Shanghai, China (Z.C., D.W.).
  • Yuehua Li
    From the Institute of Diagnostic and Interventional Radiology (Y.L., M.Y., X.D., J.Z.) and Department of Cardiology (Z.L., C.S.), Shanghai Jiao Tong University Affiliated Sixth People's Hospital, #600, Yishan Rd, Shanghai, China 200233; Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China (Y.W.); and Department of Radiology, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (B.L.).
  • Ai Wang
    Department of Radiology, Shanghai General Hospital, Jiading Branch, #800, Huangjiahuayuan Rd, Shanghai, China.
  • Xifu Wang
    Department of Radiology, Shanghai General Hospital, Jiading Branch, #800, Huangjiahuayuan Rd, Shanghai, China.
  • Yanli Song
    United Imaging Healthcare America, Inc., Houston, Texas, USA.
  • Xiao Zhang
    Merck & Co., Inc., Rahway, NJ, USA.
  • Pei Dong
  • Yiqiang Zhan
  • Dijia Wu
  • Jiayin Zhang
    Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.