Automatic IVUS segmentation of atherosclerotic plaque with Stop & Go snake

E.J.L. Brunenberg, O. Pujol, B.M. Haar Romenij, ter, P. Radeva

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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. We concentrated on the segmentation of calcium and soft plaque, because these structures predict the extension and the vulnerability of the atherosclerotic disease, respectively. The first step in the procedure was the extraction of texture features like local binary patterns, co-occurrence matrices and Gabor filter banks. After dimensionality reduction, 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 publicationASCI 2006 : Proceedings of the 12th annual conference of the advanced school for computing and imaging, Lommel, Belgium, June 14-16 June 2006
EditorsB.P.F. Lelieveldt, B. Haverkort, C.T.A.M. de Laat, J.W.J. Heijnsdijk
Place of PublicationDelft
PublisherAdvanced School for Computing and Imaging (ASCI)
Pages245-252
ISBN (Print)90-810849-1-7
Publication statusPublished - 2006
Event12th Annual Conference for the Advanced School for Computing and Imaging (ASCI 2006) , June 14-16, 2006, Lommel, Belgium - Lommel, Belgium
Duration: 14 Jun 200616 Jun 2006

Conference

Conference12th Annual Conference for the Advanced School for Computing and Imaging (ASCI 2006) , June 14-16, 2006, Lommel, Belgium
Abbreviated titleASCI 2006
CountryBelgium
CityLommel
Period14/06/0616/06/06

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