An approach to coronary vessels detection in X-ray rotational angiography

Abstract

An unsupervised clustering framework for automatic detection of coronary vessels in bidimensional (2D) X-ray rotational angiography is reported. The proposed approach consists of three consecutive steps: 1) vessel enhancement; 2) initial segmentation based on a simple linkage region growing algorithm; 3) optimization of the initial segmentation using a multiple linkage region growing method. Results obtained after applying this method to monoplane rotational X-ray image sequences are presented. © Springer-Verlag Berlin Heidelberg 2007.