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

Brieva, JorgeJorgeBrieva2023-07-312023-07-312013https://scripta.up.edu.mx/handle/20.500.12552/449110.1117/12.2035636This 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.A string matching shape prior to constraint the level set evolution for the segmentation of x-ray coronary angiographyResource Types::text::conference output::conference proceedings::conference paper