Paper
19 November 2013 A string matching shape prior to constraint the level set evolution for the segmentation of x-ray coronary angiography
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Proceedings Volume 8922, IX International Seminar on Medical Information Processing and Analysis; 89220Z (2013) https://doi.org/10.1117/12.2035636
Event: IX International Seminar on Medical Information Processing and Analysis, 2013, Mexico City, Mexico
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. Brieva "A string matching shape prior to constraint the level set evolution for the segmentation of x-ray coronary angiography", Proc. SPIE 8922, IX International Seminar on Medical Information Processing and Analysis, 89220Z (19 November 2013); https://doi.org/10.1117/12.2035636
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Cited by 1 scholarly publication.
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KEYWORDS
Image segmentation

Angiography

X-rays

Image processing

Motion models

X-ray imaging

3D modeling

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