Korean Journal of Radiology

The Korean Society of Radiology (대한영상의학회)
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Application of Artificial Intelligence to Cardiovascular Computed Tomography

  • Dong Hyun Yang (Department of Radiology and Research Institute of Radiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine)
  • Received : 2020.11.03
  • Accepted : 2021.05.14
  • Published : 2021.10.01
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Abstract

Cardiovascular computed tomography (CT) is among the most active fields with ongoing technical innovation related to image acquisition and analysis. Artificial intelligence can be incorporated into various clinical applications of cardiovascular CT, including imaging of the heart valves and coronary arteries, as well as imaging to evaluate myocardial function and congenital heart disease. This review summarizes the latest research on the application of deep learning to cardiovascular CT. The areas covered range from image quality improvement to automatic analysis of CT images, including methods such as calcium scoring, image segmentation, and coronary artery evaluation.

Keywords

Acknowledgement

This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number: HR20C0026020021); and a grant of the KHIDI, funded by the Ministry of Health & Welfare, Republic of Korea (grant number: HI18C0022).

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