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Proceedings Paper

Quantitative analysis of vascular dimension and plaque composition in coronary multidetector computed tomography images
Author(s): Mark E. Olszewski; Andreas Wahle; Mani Vembar; Les Ciancibello; Arthur Kerner; Rafael Beyar; Eduard Ghersin; Krishna Subramanyan; Milan Sonka
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Paper Abstract

The noninvasive assessment of coronary atherosclerosis holds great promise for the future of cardiovascular medicine, and multidetector computed tomography (MDCT) has recently taken the lead in this area. Earlier studies have shown the ability of MDCT to visualize the coronary lumen and various types of atherosclerotic plaque. The aims of this project are to design, implement, and validate a complete system for the automated, quantitative analysis of coronary MDCT images. The developed system uses graph algorithms and knowledge-based cost functions to automatically segment the lumen and wall, and then uses pattern classification techniques to identify and quantify the tissue types found within the detected vascular wall. The system has been validated in comparison with expert tracings and labels, as well as in comparison with intravascular ultrasound (IVUS). In the former, the radial position of the lumen and adventitia were compared at 360 corresponding angular locations in 299 vascular cross sections (from 13 vessels in 5 patients: 5 RCA, 4 LAD, 4 LCX). Results show a border positioning error of 0.150 ± 0.090 mm unsigned / 0.007 ± 0.001 mm signed for the lumen, and 0.210 ± 0.120 mm unsigned / 0.020 ± 0.030 mm signed for the vessel wall. In the comparison with IVUS, the luminal and vascular cross sectional areas were compared in 7 vessels; good correlation was shown for both the lumen (R=0.83) and the vessel wall (R=0.76). The plaque characterization algorithm correctly classified 92% of calcified plaques and 87% of non-calcified plaques.

Paper Details

Date Published: 13 March 2006
PDF: 12 pages
Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 614308 (13 March 2006); doi: 10.1117/12.657992
Show Author Affiliations
Mark E. Olszewski, The Univ. of Iowa (United States)
Philips Medical Systems (United States)
Andreas Wahle, The Univ. of Iowa (United States)
Mani Vembar, Philips Medical Systems (United States)
Les Ciancibello, Philips Medical Systems (United States)
Arthur Kerner, Rambam Medical Ctr. (Israel)
Rafael Beyar, Rambam Medical Ctr. (Israel)
Eduard Ghersin, Rambam Medical Ctr. (Israel)
Krishna Subramanyan, Philips Medical Systems (United States)
Milan Sonka, The Univ. of Iowa (United States)


Published in SPIE Proceedings Vol. 6143:
Medical Imaging 2006: Physiology, Function, and Structure from Medical Images
Armando Manduca; Amir A. Amini, Editor(s)

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