AUTHOR=Hampe Nils , Wolterink Jelmer M. , van Velzen Sanne G. M. , Leiner Tim , Išgum Ivana 

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

JOURNAL=Frontiers in Cardiovascular Medicine

VOLUME=6

YEAR=2019

URL=https://www.frontiersin.org/journals/cardiovascular-medicine/articles/10.3389/fcvm.2019.00172

DOI=10.3389/fcvm.2019.00172

ISSN=2297-055X

ABSTRACT=<p>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 summarize ML methods for detection and characterization of atherosclerotic plaque as well as anatomically and functionally significant coronary artery stenosis.</p>