2F15 低コヒーレンス干渉信号における光学特徴量を用いた動脈硬化組織性状評価法の基礎的検討

抄録

The acute coronary syndrome (ACS) is caused by a blood clot formed on a ruptured plaque. The risk factor of the ruptured plaque is strongly related to both the thickness of fibrous cap and the lipid distribution. Therefore, a noninvasively diagnostic system is required in clinical practice to identify the tissue characterization of the arteriosclerosis with microscale. In this paper, we propose a tomographically visualizing technique of tissue characterization using "Attenuation, Reflection and Variance OCT" (ARV-OCT). The present system can calculate the ratio of lipid and fibrous using optical characteristic quantities from OCT images i.e. attenuation, reflection and variance. ARV-OCT was ex vivo applied to atherosclerotic plaques of rabbit artery. As a result, the proposed technique is able to classify fibrous and lipid tissue from an OCT image of the aorta. ARV-OCT is one of clinical diagnostic criteria of the tissue characterization in atheroscherotic plaques.