Quantitative analysis of vascular dimension and plaque composition in coronary multidetector computed tomography images

Mark E. Olszewski, Andreas Wahle, Mani Vembar, Les Ciancibello, Arthur Kerner, Rafael Beyar, Eduard Ghersin, Krishna Subramanyan, Milan Sonka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2006
Subtitle of host publicationPhysiology, Function, and Structure from Medical Images
DOIs
StatePublished - Jun 30 2006
Externally publishedYes
EventMedical Imaging 2006: Physiology, Function, and Structure from Medical Images - San Diego, CA, United States
Duration: Feb 12 2006Feb 14 2006

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume6143 I
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2006: Physiology, Function, and Structure from Medical Images
CountryUnited States
CitySan Diego, CA
Period2/12/062/14/06

Keywords

  • Coronary heart disease
  • Multidetector computed tomography
  • Plaque
  • Segmentation

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Olszewski, M. E., Wahle, A., Vembar, M., Ciancibello, L., Kerner, A., Beyar, R., Ghersin, E., Subramanyan, K., & Sonka, M. (2006). Quantitative analysis of vascular dimension and plaque composition in coronary multidetector computed tomography images. In Medical Imaging 2006: Physiology, Function, and Structure from Medical Images [614308] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 6143 I). https://doi.org/10.1117/12.657992