Automated Segmentation of Coronary Arteries Based on Statistical Region Growing and Heuristic Decision Method

Abstract

The segmentation of coronary arteries is a vital process that helps cardiovascular radiologists detect and quantify stenosis. In this paper, we propose a fully automated coronary artery segmentation from cardiac data volume. The method is built on a statistics region growing together with a heuristic decision. First, the heart region is extracted using a… (More)

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