Quantification of Coronary Artery Stenosis by Area Stenosis from Cardiac CT Angiography

Quantification of Coronary Artery Stenosis by Area Stenosis from Cardiac CT Angiography
Title:
Quantification of Coronary Artery Stenosis by Area Stenosis from Cardiac CT Angiography
Other Titles:
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
DOI:
10.1109/EMBC.2015.7318457
Publication Date:
25 August 2015
Citation:
J. Zhou et al., "Quantification of coronary artery Stenosis by Area Stenosis from cardiac CT angiography," 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, 2015, pp. 695-698.
Abstract:
Non-invasive cardiac computed tomography angiography (CTA) is widely used to assess coronary artery stenosis and give clinical decision-making support to clinicians. The severity of stenosis lesion is commonly graded by a range of percent Diameter Stenosis (DS), which can introduce false positive diagnoses or over-estimation, triggering unnecessary further procedures. In this paper, a system and the associate methods to quantify stenosis by the percent Area Stenosis (AS) from cardiac CTA is presented. In the process, coronary artery tree is segmented and the centerline is extracted by Hessian filtering and the minimal path method. After a serial of 2D cross-sectional artery images along the artery centerline are obtained, lumen areas are segmented by ellipse-fitting with deformable models, and consequently to compute the lesion's AS. Experimental results on 5 CTA data sets show that compared to DS, AS better correlates to the reference standard for stenosis quantification, suggesting the efficacy of the proposed system.
License type:
PublisherCopyrights
Funding Info:
Biomedical Engineering Programme, Agency for Science, Technology and Research (A*STAR), (1321480008)
Description:
(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
ISSN:
1094-687X
1558-4615
ISBN:
978-1-4244-9271-8
978-1-4244-9270-1
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