Semantic Modelling of Coronary Vessel Structures in Computer Aided Detection of Pathological Changes

Abstract

Abstract. In the paper, the author discusses the results of his research on the opportunities for using selected artificial intelligence methods to semantically analyse medical images. In particular, he will present attempts at using linguistic methods of structural image analysis to develop systems for the cognitive analysis and understanding of selected medical images, and this will be illustrated by the recognition of pathological changes in coronary arteries of the heart. The problem undertaken is important because the identification and location of significant stenoses in coronary vessels is a widespread practical task. The obtained results confirm the importance of the proposed methods in the diagnosis of coronary heart disease.

Evaluation of Carotid Artery Segmentation with Centerline Detection and Active Contours without Edges Algorithm

“…If the result of evaluation will be on acceptable rate we will use this algorithm as the baseline for the further researches on automatic diagnosis of carotid structures. In order to accomplish this task we are planning to create appropriate semantic description of carotid artery similarly to those proposed in [11], [12]. After correct identification of possible lumen abnormality we will try to integrate the results with already developed by us CTP diagnosis framework.…”