Title :
Model-based estimation of coronary vessel diameter in angiographic images
Author_Institution :
Dept. of Biomed. Eng., Tel Aviv Univ., Israel
fDate :
29 Oct-1 Nov 1998
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.745959
