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Proceedings Paper

Estimation of myocardial volume at risk from CT angiography
Author(s): Liangjia Zhu; Yi Gao; Vandana Mohan; Arthur Stillman; Tracy Faber; Allen Tannenbaum
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Paper Abstract

The determination of myocardial volume at risk distal to coronary stenosis provides important information for prognosis and treatment of coronary artery disease. In this paper, we present a novel computational framework for estimating the myocardial volume at risk in computed tomography angiography (CTA) imagery. Initially, epicardial and endocardial surfaces, and coronary arteries are extracted using an active contour method. Then, the extracted coronary arteries are projected onto the epicardial surface, and each point on this surface is associated with its closest coronary artery using the geodesic distance measurement. The likely myocardial region at risk on the epicardial surface caused by a stenosis is approximated by the region in which all its inner points are associated with the sub-branches distal to the stenosis on the coronary artery tree. Finally, the likely myocardial volume at risk is approximated by the volume in between the region at risk on the epicardial surface and its projection on the endocardial surface, which is expected to yield computational savings over risk volume estimation using the entire image volume. Furthermore, we expect increased accuracy since, as compared to prior work using the Euclidean distance, we employ the geodesic distance in this work. The experimental results demonstrate the effectiveness of the proposed approach on pig heart CTA datasets.

Paper Details

Date Published: 9 March 2011
PDF: 6 pages
Proc. SPIE 7963, Medical Imaging 2011: Computer-Aided Diagnosis, 79632A (9 March 2011); doi: 10.1117/12.878249
Show Author Affiliations
Liangjia Zhu, Georgia Institute of Technology (United States)
Yi Gao, Georgia Institute of Technology (United States)
Vandana Mohan, Georgia Institute of Technology (United States)
Arthur Stillman, Emory Univ. (United States)
Tracy Faber, Emory Univ. (United States)
Allen Tannenbaum, Georgia Institute of Technology (United States)

Published in SPIE Proceedings Vol. 7963:
Medical Imaging 2011: Computer-Aided Diagnosis
Ronald M. Summers; Bram van Ginneken, Editor(s)

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