A string matching shape prior to constraint the level set evolution for the segmentation of x-ray coronary angiography

Journal
SPIE Proceedings
IX International Seminar on Medical Information Processing and Analysis
ISSN
0277-786X
Date Issued
2013
Author(s)
Type
text::conference output::conference proceedings::conference paper
DOI
URL
Abstract
This paper presents a shape based level set technique to extract vascular structures in X-Ray Angiographic images. It makes use of the Mumford-Shah functional19 applied to images of non-uniform illumination. The shape model is computed using string matching techniques from a preliminary hierarchical multiphase method. Its performance, using different metrics, has been evaluated on a set of three angiographic image sequences by comparison with manual delineation. A sensitivity of 91.31 ± 3.52% and a specificity of 94.28 ± 9.17% were found in the quantitative validation analysis.
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