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Proceedings Paper

Automatic segmentation of intravascular optical coherence tomography images for facilitating quantitative diagnosis of atherosclerosis
Author(s): Zhao Wang; Hiroyuki Kyono; Hiram G. Bezerra; David L. Wilson; Marco A. Costa; Andrew M. Rollins
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Paper Abstract

Quantitative diagnosis of atherosclerosis can be facilitated by automatic segmentation of intravascular Optical Coherence Tomography (OCT) images. We report an automatic method of lumen and calcified plaque segmentation for commercial intravascular OCT systems. Lumen segmentation is based on a dynamic programming scheme. Calcified plaque is localized by edge detection and finely traced using an active contour model. The proposed methods yield promising results when applied to clinical images as validated by manual tracing. Lumen segmentation is useful for estimating the coronary artery stenosis and guiding stent implantation. Calcified plaque segmentation can be used to estimate the distribution of superficial calcification and inform strategies for coronary stenting.

Paper Details

Date Published: 12 February 2011
PDF: 7 pages
Proc. SPIE 7889, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XV, 78890N (12 February 2011); doi: 10.1117/12.876003
Show Author Affiliations
Zhao Wang, Case Western Reserve Univ. (United States)
Hiroyuki Kyono, Univ. Hospitals Case Medical Ctr. (United States)
Hiram G. Bezerra, Univ. Hospitals Case Medical Ctr. (United States)
David L. Wilson, Case Western Reserve Univ. (United States)
Marco A. Costa, Univ. Hospitals Case Medical Ctr. (United States)
Andrew M. Rollins, Case Western Reserve Univ. (United States)


Published in SPIE Proceedings Vol. 7889:
Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XV
James G. Fujimoto; Joseph A. Izatt; Valery V. Tuchin, Editor(s)

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