Conference proceeding
IVUS image segmentation based on contrast
Proceedings of SPIE, v 4684(1), pp 1727-1733
15 May 2002
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- IVUS image segmentation based on contrast
- Creators
- Hui Zhu - Duke UniversityYun Liang - Duke UniversityMorton H Friedman - Duke University
- Publication Details
- Proceedings of SPIE, v 4684(1), pp 1727-1733
- Conference
- Medical Imaging 2002: Image Processing
- Publisher
- Society of Photo-Optical Instrumentation Engineers (SPIE)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Radiation Oncology (and Nuclear Medicine)
- Web of Science ID
- WOS:000177471900185
- Scopus ID
- 2-s2.0-0036029425
- Other Identifier
- 991021897329004721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Biomedical
- Optics
- Radiology, Nuclear Medicine & Medical Imaging