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Journal of Medical Systems
Published in: Journal of Medical Systems 10/2015

01-10-2015 | Systems-Level Quality Improvement

A Semi-Automatic Coronary Artery Segmentation Framework Using Mechanical Simulation

Authors: Ken Cai, Rongqian Yang, Lihua Li, Shanxing Ou, Yuke Chen, Jianhong Dou

Published in: Journal of Medical Systems | Issue 10/2015

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Abstract

CVD (cardiovascular disease) is one of the biggest threats to human beings nowadays. An early and quantitative diagnosis of CVD is important in extending lifespan and improving people’s life quality. Coronary artery stenosis can prevent CVD. To diagnose the degree of stenosis, the inner diameter of coronary artery needs to be measured. To achieve such measurement, the coronary artery is segmented by using a method that is based on morphology and the continuity between computed tomography image slices. A centerline extraction method based on mechanical simulation is proposed. This centerline extraction method can figure out a basic framework of the coronary artery by simulating pixel dots of the artery image into mass points. Such mass points have tensile forces, with which the outer pixel dots can be drawn to the center. Subsequently, the centerline of the coronary artery can be outlined by using the local line-fitting method. Finally, the nearest point method is adopted to measure the inner diameter. Experimental results showed that the methods proposed in this paper can precisely extract the centerline of the coronary artery and can accurately measure its inner diameter, thereby providing a basis for quantitative diagnosis of coronary artery stenosis.
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Metadata
Title
A Semi-Automatic Coronary Artery Segmentation Framework Using Mechanical Simulation
Authors
Ken Cai
Rongqian Yang
Lihua Li
Shanxing Ou
Yuke Chen
Jianhong Dou
Publication date
01-10-2015
Publisher
Springer US
Published in
Journal of Medical Systems / Issue 10/2015
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-015-0329-9

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