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Automatic IVUS segmentation of atherosclerotic plaque with stop & go snake

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Since the upturn of intravascular ultrasound (IVUS) as an imaging technique for the coronary artery system, much research has been done to simplify the complicated analysis of the resulting images. In this study, an attempt to develop an automatic tissue characterization algorithm for IVUS images was done. The first step was the extraction of texture features. The resulting feature space was used for classification, constructing a likelihood map to represent different coronary plaques. The information in this map was organized using a recently developed geodesic snake formulation, the so-called Stop & Go snake. The novelty of our study lies in this last step, as it was the first time to apply the Stop & Go snake to segment IVUS images.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention – MICCAI 2006. MICCAI 2006.
Subtitle of host publication9th International Conference, Copenhagen, Denmark, October 1-6, 2006, Proceedings
EditorsRasmus Larsen, Mads Nielsen, Jon Sporring
PublisherSpringer
Pages9-16
Number of pages8
Volume2
ISBN (Electronic)978-3-540-44728-3
ISBN (Print)978-3-540-44727-6
DOIs
Publication statusPublished - 2006
Event9th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2006), October 1-6, 2006, Copenhagen, Denmark - Copenhagen, Denmark
Duration: 1 Oct 2006 → 6 Oct 2006

Publication series

NameLecture Notes in Computer Science
Volume4191
NameImage Processing, Computer Vision, Pattern Recognition, and Graphics

Conference

Conference9th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2006), October 1-6, 2006, Copenhagen, Denmark
Abbreviated titleMICCAI 2006
Country/TerritoryDenmark
CityCopenhagen
Period1/10/06 → 6/10/06

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