A deep learning-based automated algorithm for labeling coronary arteries in computed tomography angiography images.

Journal: BMC medical informatics and decision making
Published Date: Nov 6, 2023

Abstract

OBJECTIVE: Using two three-dimensional U-Net architectures for myocardium structure extraction and a distance transformation algorithm specifically for the left circumflex artery, we have designed a fully automated algorithm for coronary artery labeling in coronary computed tomography angiography (CCTA) images.

Authors

  • Pengling Ren
    Department of Radiology, Beijing Friendship Hospital, Capital Medical University, 100050, People's Republic of China.
  • Yi He
    National Institutes for Food and Drug Control, 2 Tiantan Xili, Beijing 100050, China.
  • Ning Guo
  • Nan Luo
    School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China.
  • Fang Li
    Department of General Surgery, Chongqing General Hospital, Chongqing, China.
  • Zhenchang Wang
    School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
  • Zhenghan Yang
    Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.

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