computer-aided diagnosis system for tissue characterization of coronary plaque by using an intravascular ultrasound image

Abstract

This paper introduces integrated software of computer-aided diagnosis of acute coronary syndromes (ACS) by using an intravascular ultrasound (IVUS) image. The software contains some powerful functions for the diagnosis of ACS such as fully automatic plaque boundary extraction function in the intravascular ultrasound (IVUS) image by using anisotropic-diffusion-based pre-processing and Takagi-Sugeno (T-S) type fuzzy inference with a weighted separability measure, fully automatic tissue characterization function by using multiple k-nearest neighbor classifier, 3-dimensional visualization function of the characterized coronary plaque, and so on. The effectiveness of the produced software is verified by the experiments using the real IVUS images.