Coronary artery segmentation in X-Ray Angiographic image by means of a shape based level set method

Author

Brieva, J.

Author_Institution

Univ. Panamericana, Mexico City, Mexico

fYear

2013

fDate

April 29 2013-May 4 2013

Firstpage

1

Lastpage

1

Abstract

This paper presents a level set technique to extract vascular structures in X-Ray Angiographic images. It makes uses of the Chan and Vese model applied to images of non-uniform illumination and uses a shape-based model to perform the segmentation. The shape model is computed using string matching techniques. Its performance, using different metrics, has been evaluated on a image sequence of 64 angiographic images by comparison with expert delineation. A sensitivity of 81% and a specificity of 94% were found in the quantitative validation analysis.

Keywords

blood vessels; diagnostic radiography; image sequences; medical image processing; Chan model; Vese model; X-ray angiographic image; coronary artery segmentation; image sequence; quantitative validation analysis; shape based level set method; shape-based model; string matching; Computational modeling; Image segmentation; Level set; Mathematical model; Sensitivity; Shape; X-ray imaging; Coronary Artery; String matching; level sets; shape based;

fLanguage

English

Publisher

ieee

Conference_Titel

Health Care Exchanges (PAHCE), 2013 Pan American

Conference_Location

Medellin

ISSN

2327-8161

Print_ISBN

978-1-4673-6254-2

Type

conf

DOI

10.1109/PAHCE.2013.6568258

Filename

6568258