Model-based estimation of coronary vessel diameter in angiographic images

Author

Barnea, Ofer

Author_Institution

Dept. of Biomed. Eng., Tel Aviv Univ., Israel

fYear

1998

fDate

29 Oct-1 Nov 1998

Firstpage

513

Abstract

An optimization method to detect edges of coronary vessels in angiographic images is described. The method is based on an elliptical model of a vessel´s cross-section. The method consists of two stages: (1) rapid and crude estimation of centerline and radius, and (2) parameter estimation for elliptical vessel model based on densitometrical estimation of the vessel cross-sectional curvature. The optimization method is partly analytical and partly numerical resulting in short computational time. The algorithm was tested extensively using real and synthesized images. This paper includes an example of a real image analysis

Keywords

adaptive filters; angiocardiography; blood vessels; cardiovascular system; edge detection; elliptic filters; image segmentation; interpolation; matched filters; medical image processing; optimisation; parameter estimation; physiological models; adaptive filter; angiographic images; bilinear interpolation; coronary vessel diameter; densitometrical estimation; edge detection; elliptical matched filter; elliptical model; image segments; model-based estimation; optimization method; parameter estimation; real image analysis; short computational time; stenosis; vessel cross-sectional curvature; Biomedical engineering; Biomedical imaging; Blood vessels; Geometry; Gray-scale; Image edge detection; Matched filters; Optimization methods; Parameter estimation; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE

Conference_Location

Hong Kong

ISSN

1094-687X

Print_ISBN

0-7803-5164-9

Type

conf

DOI

10.1109/IEMBS.1998.745959

Filename

745959