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Proceedings Paper

Method for distinguishing and quantitative evaluation of the elements of pathological pattern of the retina (pathology of microcirculation)
Author(s): S. L. Brantchevsky; Y. V. Vasiliev; A. B. Durasov; N. Yu. Iliasova; Alexey V. Ustinov
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Paper Abstract

Vascular eye fundus diseases, including diabetic retinopathy, have become the most important reason of loss of vision among people of working age. The latest achievements in laser and surgical treatment of these diseases are based on early diagnostics and accurate evaluation of dynamics of eye fundus lesions and the state of retinal vessels. Moreover, a number of newly developed classification schemes contain a lot of describing semiquantitative clinical data on the status of the retinal vascular network. These data are used to prognosticate the course of disease and to choose a treatment modality. These facts stimulate ophthalmologists to apply in their routine work computerized techniques of processing, interpretation, and storage of clinical information. Being the base of routine diagnostics, ophthalmoscopically visible eye fundus lesions remain the most difficult for quantitative evaluation and analysis. Hence computerized eye fundus analysis seems to be very important in the improvement of routine clinical practice. This paper presents our package of programs of the quantitative evaluation of retinal vascular network (RVN). RVN parameters can be divided into 2 large subgroups: static and dynamic. Static parameters are obtained from ordinary eye fundus images and reflect the pattern of RVN. Dynamic parameters are derived from retinal angiography analysis and indicate the state of blood flow and vessel permeability. The aim of our investigations was to create a tool for quantitative analysis of RVN static parameters, as most suitable for screening and early diagnostics of vascular diseases of the retina.

Paper Details

Date Published: 19 January 1995
PDF: 7 pages
Proc. SPIE 2363, 5th International Workshop on Digital Image Processing and Computer Graphics (DIP-94), (19 January 1995); doi: 10.1117/12.199640
Show Author Affiliations
S. L. Brantchevsky, Image Processing Systems Institute (Russia)
Y. V. Vasiliev, Image Processing Systems Institute (Russia)
A. B. Durasov, Image Processing Systems Institute (Russia)
N. Yu. Iliasova, Image Processing Systems Institute (Russia)
Alexey V. Ustinov, Image Processing Systems Institute (Russia)

Published in SPIE Proceedings Vol. 2363:
5th International Workshop on Digital Image Processing and Computer Graphics (DIP-94)
Nikolai A. Kuznetsov; Victor A. Soifer, Editor(s)

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