Contour detection of atherosclerotic plaques in IVUS images using ellipse template matching and particle swarm optimization

Qi Zhang; Yuanyuan Wang; Jianying Ma; Jun Shi

doi:10.1109/IEMBS.2011.6091281

Contour detection of atherosclerotic plaques in IVUS images using ellipse template matching and particle swarm optimization

Annu Int Conf IEEE Eng Med Biol Soc. 2011:2011:5174-7. doi: 10.1109/IEMBS.2011.6091281.

Authors

Qi Zhang¹, Yuanyuan Wang, Jianying Ma, Jun Shi

Affiliation

¹ School of Communication and Information Engineering, Shanghai University, China. zhangq@shu.edu.cn

PMID: 22255504
DOI: 10.1109/IEMBS.2011.6091281

Abstract

It is valuable for diagnosis of atherosclerosis to detect lumen and media-adventitia contours in intravascular ultrasound (IVUS) images of atherosclerotic plaques. In this paper, a method for contour detection of plaques is proposed utilizing the prior knowledge of elliptic geometry of plaques. Contours are initialized as ellipses by using ellipse template matching, where a matching function is maximized by particle swarm optimization. Then the contours are refined by boundary vector field snakes. The method was evaluated via 88 in vivo images from 21 patients. It outperformed a state-of-the-art method by 3.8 pixels and 4.8% in terms of the mean distance error and relative mean distance error, respectively.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Coronary Artery Disease / diagnostic imaging*
Humans
Image Enhancement / methods
Image Interpretation, Computer-Assisted / methods*
Pattern Recognition, Automated / methods*
Plaque, Atherosclerotic / diagnostic imaging*
Reproducibility of Results
Sensitivity and Specificity
Ultrasonography, Interventional / methods*