An automated model for rapid and reliable segmentation of intravascular ultrasound images

Eirini Parissi, Yiannis Kompatsiaris, Yiannis S. Chatzizisis, Vassilis Koutkias, Nicos Maglaveras, M. G. Strintzis, George D. Giannoglou

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

2 Scopus citations

Abstract

The detection of lumen and media-adventitia borders in intravascular ultrasound (IVUS) images constitutes a necessary step for accurate morphometric analyses of coronary plaques and accordingly assessment of the atherosclerotic lesion length. Aiming to tackle this issue, an automated model for lumen and media-adventitia border detection is presented, which is based on active contour models. The proposed approach enables extraction of the corresponding boundaries in sequential IVUS frames by applying an iterative procedure, in which initialization of the two contours in each frame is performed automatically, based on the segmentation of its previous frame. The above procedure is implemented through a user-friendly interface, permitting the interaction of the user when needed. The in vivo application and evaluation of our model in sequential IVUS images indicated that the proposed approach is capable of accurately and rapidly segmenting hundreds of IVUS images.

Original languageEnglish (US)
Title of host publicationBiological and Medical Data Analysis - 7th International Symposium, ISBMDA 2006, Proceedings
PublisherSpringer Verlag
Pages368-377
Number of pages10
ISBN (Print)3540680632, 9783540680635
DOIs
StatePublished - 2006
Externally publishedYes
Event7th International Symposium on Biological and Medical Data Analysis, ISBMDA 2006 - Thessaloniki, Greece
Duration: Dec 7 2006Dec 8 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4345 LNBI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Symposium on Biological and Medical Data Analysis, ISBMDA 2006
Country/TerritoryGreece
CityThessaloniki
Period12/7/0612/8/06

Keywords

  • Active contours
  • Image segmentation
  • Intravascular ultrasound (IVUS)
  • Snakes

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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