Cooperation of two fuzzy segmentation operators for digital substract angiograms analysts

Author

Bombardier, Vincent ; Jaulent, Marie-Christine ; Bubel, Annie ; Brémont, Jacques

Author_Institution

Fac. des Sci., Nancy I Univ., Vandoeuvre, France

Volume

2

fYear

1997

fDate

1-5 Jul 1997

Firstpage

1057

Abstract

A computer-based system for the automatic quantification of vascular lesions from 2D renal angiograms should be able to to provide reproducible measurements on visible lesions. This article presents a knowledge based approach for the automatic and reproducible identification of arteries boundaries. The method is based on the cooperation of two fuzzy segmentation operators in order to take into account the natural stepped process of an expert that looks for useful information in the image. The purpose of the first operator is to focus on the region of interest by detecting the bifurcation points between the aorta and the renal arteries. The second operator aims at extracting the artery outlines inside the region of interest. The segmentation process has been applied to real situations and the results obtained are presented

Keywords

edge detection; fuzzy set theory; image segmentation; knowledge based systems; knowledge representation; medical image processing; 2D renal angiograms; aorta arteries; bifurcation point detection; fuzzy set theory; image recognition; image segmentation; knowledge based system; knowledge representation; renal arteries; vascular lesions; Anatomical structure; Angiography; Arteries; Bifurcation; Biomedical imaging; Computer industry; Image segmentation; Lesions; Medical treatment; X-ray imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on

Conference_Location

Barcelona

Print_ISBN

0-7803-3796-4

Type

conf

DOI

10.1109/FUZZY.1997.622856

Filename

622856