Evaluation of Segmentation Algorithms for Coronary Angiography

Author

Brieva, J. ; Ponce, P.

Author_Institution

ITESM, Monterrey

fYear

2007

fDate

22-26 Aug. 2007

Firstpage

5555

Lastpage

5558

Abstract

This paper presents an evaluation technique based on ROC analysis to compare four segmentation algorithms in coronary angiography images. We have implemented four algorithms and we have optimized their parameters; then, we have compared their performances. Both steps are done by means of a ROC analysis. Experimental results are presented on simulated data and real images.

Keywords

angiocardiography; blood vessels; image segmentation; medical image processing; sensitivity analysis; ROC analysis; coronary angiography images; parameter optimization; segmentation algorithm evaluation; Algorithm design and analysis; Angiography; Arteries; Deformable models; Image analysis; Image segmentation; Magnetic analysis; Terminology; Testing; Training data; Coronary Angiography; Deformable model; Evaluation; Segmentation; Algorithms; Artificial Intelligence; Coronary Angiography; Humans; Pattern Recognition, Automated; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Conference_Location

Lyon

ISSN

1557-170X

Print_ISBN

978-1-4244-0787-3

Type

conf

DOI

10.1109/IEMBS.2007.4353605

Filename

4353605