Machine Learning for Assessment of Coronary Artery Disease in Cardiac CT: A Survey

Nils Hampe, Jelmer M Wolterink, Sanne G M van Velzen, Tim Leiner, Ivana Išgum
2019 Frontiers in Cardiovascular Medicine  
Cardiac computed tomography (CT) allows rapid visualization of the heart and coronary arteries with high spatial resolution. However, analysis of cardiac CT scans for manifestation of coronary artery disease is time-consuming and challenging. Machine learning (ML) approaches have the potential to address these challenges with high accuracy and consistent performance. In this mini review, we present a survey of the literature on ML-based analysis of coronary artery disease in cardiac CT. We
more » ... rize ML methods for detection and characterization of atherosclerotic plaque as well as anatomically and functionally significant coronary artery stenosis.
doi:10.3389/fcvm.2019.00172 pmid:32039237 pmcid:PMC6988816 fatcat:tsq6vf3vi5a4rjxoxzqy7xd5tu