Application of Artificial Intelligence to Cardiovascular Computed Tomography
Korean Journal of Radiology 2021³â 22±Ç 10È£ p.1597 ~ p.1608
¾çµ¿Çö(Yang Dong-Hyun) - University of Ulsan College of Medicine Asan Medical Center Department of Radiology
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.
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CT, Artificial intelligence, Deep learning, Heart
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This review summarizes the latest research on the application of deep learning to cardiovascular CT.