Vascular tree segmentation in retinal angiographies: deformable contour model approach

Authors:
L. Espona;M. J. Carreira;M. G. Penedo
Affiliations:
Computer Vision Group, Universidade de Santiago de Compostela, Santiago de Compostela, Spain;Computer Vision Group, Universidade de Santiago de Compostela, Santiago de Compostela, Spain;Grupo de Visión Artificial y Reconocimiento de Patrones, University of A Coruña, A Coruña, Spain
Venue:
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
Year:
2006

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Abstract

This paper describes a new method to detect the retina vascular tree. This detection is performed by a deformable contour model in angiographic retinal images. The generic deformable contour model is here redefined to obtain a more accurate segmentation by considering specific features of these vascular structures, mainly the anatomical landmarks that a crease extraction technique obtains. Results on sample images are promising, making it easier the computation of the AV index, very important for the diagnosis of several pathologies.