Computational Analysis of Intravascular OCT Images for Future Clinical Support: A Comprehensive Review.

ABSTRACT: Over the past two decades, intravascular optical coherence tomography (IVOCT) has emerged as a promising tool for planning percutaneous coronary interventions (PCI), studying coronary artery disease, and assessing treatments. With its near-histological resolution and optical contrast, IVOCT uniquely evaluates coronary plaque characteristics, enhancing the guidance of interventional procedures. Artificial intelligence (AI) techniques have been widely applied to IVOCT imaging, providing fast and accurate automated interpretation. These techniques hold significant potential for both clinical and research purposes. Clinically, automated analysis offers comprehensive assessments of coronary plaques, leading to better treatment decisions during PCI. For research, automated interpretation of IVOC

SUBMITTER: Lee J 

PROVIDER: S-EPMC12341395 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature