Automated Optic Nerve Disc Parameterization

Authors:
Povilas Treigys;Vydūnas Šaltenis;Gintautas Dzemyda;Valerijus Barzdžiukas;Alvydas Paunksnis
Affiliations:
Department of System Analysis, Institute of Mathematics and Informatics Akademijos 4, LT-08663 Vilnius, Lithuania, e-mail: treigys@ktl.mii.lt, dzemyda@ktl.mii.lt;Department of System Analysis, Institute of Mathematics and Informatics Akademijos 4, LT-08663 Vilnius, Lithuania, e-mail: treigys@ktl.mii.lt, dzemyda@ktl.mii.lt;Department of System Analysis, Institute of Mathematics and Informatics Akademijos 4, LT-08663 Vilnius, Lithuania, e-mail: treigys@ktl.mii.lt, dzemyda@ktl.mii.lt;Department of Ophthalmology, Institute for Biomedical Research, Kaunas University of Medicine Eiveniu 4, LT-3007 Kaunas, Lithuania, e-mail: vb@tmc.kmu.lt, apaun@medi.lt;Department of Ophthalmology, Institute for Biomedical Research, Kaunas University of Medicine Eiveniu 4, LT-3007 Kaunas, Lithuania, e-mail: vb@tmc.kmu.lt, apaun@medi.lt
Venue:
Informatica
Year:
2008

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Abstract

New information technologies provide a possibility of collecting a large amount of fundus images into databases. It allows us to use automated processing and classification of images for clinical decisions. Automated localization and parameterization of the optic nerve disc is particularly important in making a diagnosis of glaucoma, because the main symptoms in these cases are relations between the optic nerve and cupping parameters. This article describes the automated algorithm for the optic nerve disc localization and parameterization by an ellipse within colour retinal images. The testing results are discussed as well.