Application of intravascular optical coherence tomography in detection of coronary atherosclerotic plaque

Abstract

Intravascular optical coherence tomography (IVOCT) technology has developed very rapidly in the detection of coronary atherosclerotic plaque in recent years. It can realize high-resolution, radiation-free and real-time in vivo imaging of intravascular diseased tissue, and plays an important role in clinical diagnosis. This paper briefly introduces the imaging principle of IVOCT, calculation methods of the optical characteristic parameters of biological tissue and the dispersion coefficient. The plaque recognition algorithm based on machine learning is also briefly summarized, so as to provide a new strategy and pathway for the development of constructing the artificial intelligent recognition system of plaque.

Keywords

• intravascular optical coherence tomography|atherosclerotic plaque|plaque recognition|optical characteristic parameters|machine learning