A Survey on Coronary Atherosclerotic Plaque Tissue Characterization in Intravascular Optical Coherence Tomography
Boi A, Jamthikar AD, Suri JS et al.
KEYWORDS
Atherosclerosis; Cardiovascular disease; Coronary; Machine learning and deep learning; Optical coherence tomography; Plaque characterization; Risk stratification
PURPOSE OF REVIEW - Atherosclerotic plaque deposition within the coronary vessel wall leads to arterial stenosis and severe catastrophic events over time. Identification of these atherosclerotic plaque components is essential to pre-estimate the risk of cardiovascular disease (CVD) and stratify them as a high or low risk. The characterization and quantification of coronary plaque components are not only vital but also a challenging task which can be possible using high-resolution imaging techniques.