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Proceedings Paper

IVUS image segmentation based on contrast
Author(s): Hui Zhu; Yun Liang; Morton H. Friedman
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Paper Abstract

In this paper, we present a new method to segment the walls of coronary arteries in IVUS (Intravascular Ultrasound) images based on a deformable model, which integrates both edge and region information. The whole image is supposed to have three regions - lumen, vessel wall, and adventitia plus surroundings, which are separated by two closed contours - the inner and outer boundaries. Our method has two steps: firstly, the outer vessel wall boundary is detected by minimizing an energy function of the contrast along it; secondly, by minimizing another energy function that considers the different gray level distributions of the lumen and the vessel wall, and the contrast along the edge between these two regions, the inner vessel wall is located. Dynamic programming is adopted to implement this method. Experimental results show that contrast information is a good feature for boundary detection in IVUS images.

Paper Details

Date Published: 9 May 2002
PDF: 7 pages
Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); doi: 10.1117/12.467143
Show Author Affiliations
Hui Zhu, Duke Univ. (United States)
Yun Liang, Duke Univ. (United States)
Morton H. Friedman, Duke Univ. (United States)


Published in SPIE Proceedings Vol. 4684:
Medical Imaging 2002: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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