A novel active contour model for fully automated segmentation of intravascular ultrasound images: In vivo validation in human coronary arteries

George D. Giannoglou, Yiannis S. Chatzizisis, Vassilis Koutkias, Ioannis Kompatsiaris, Maria Papadogiorgaki, Vasileios Mezaris, Eirini Parissi, Panagiotis Diamantopoulos, Michael G. Strintzis, Nicos Maglaveras, George E. Parcharidis, George E. Louridas

Research output: Contribution to journalArticle

59 Scopus citations

Abstract

The detection of lumen and media-adventitia borders in intravascular ultrasound (IVUS) images constitutes a necessary step for the quantitative assessment of atherosclerotic lesions. To date, most of the segmentation methods reported are either manual, or semi-automated, requiring user interaction at some extent, which increases the analysis time and detection errors. In this work, a fully automated approach for lumen and media-adventitia border detection is presented based on an active contour model, the initialization of which is performed via an analysis mechanism that takes advantage of the inherent morphologic characteristics of IVUS images. The in vivo validation of the proposed model in human coronary arteries revealed that it is a feasible approach, enabling accurate and rapid segmentation of multiple IVUS images.

Original languageEnglish (US)
Pages (from-to)1292-1302
Number of pages11
JournalComputers in Biology and Medicine
Volume37
Issue number9
DOIs
StatePublished - Sep 2007

Keywords

  • Active contour models
  • Coronary arteries
  • Intravascular ultrasound (IVUS)
  • Segmentation

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics

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    Giannoglou, G. D., Chatzizisis, Y. S., Koutkias, V., Kompatsiaris, I., Papadogiorgaki, M., Mezaris, V., Parissi, E., Diamantopoulos, P., Strintzis, M. G., Maglaveras, N., Parcharidis, G. E., & Louridas, G. E. (2007). A novel active contour model for fully automated segmentation of intravascular ultrasound images: In vivo validation in human coronary arteries. Computers in Biology and Medicine, 37(9), 1292-1302. https://doi.org/10.1016/j.compbiomed.2006.12.003