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Computational and Mathematical Methods in Medicine
Volume 2013, Article ID 134543, 10 pages
Research Article

Analysis of Visual Appearance of Retinal Nerve Fibers in High Resolution Fundus Images: A Study on Normal Subjects

1Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, University of Technology, Technicka 12, 61600 Brno, Czech Republic
2International Clinical Research Center, Center of Biomedical Engineering, St. Anne’s University Hospital Brno, Pekarska 53, 65691 Brno, Czech Republic
3Department of Ophthalmology, University of Erlangen-Nuremberg, Schwabachanlage 6, 91054 Erlangen, Germany
4Pattern Recognition Lab and Erlangen Graduate School of Advanced Optical Technologies, University of Erlangen-Nuremberg, Martensstraße 3, 91058 Erlangen, Germany
5Ophthalmology Clinic of Dr. Tomas Kubena, U Zimniho Stadionu 1759, 760 00 Zlin, Czech Republic

Received 31 May 2013; Accepted 3 October 2013

Academic Editor: Kazuhisa Nishizawa

Copyright © 2013 Radim Kolar et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The retinal ganglion axons are an important part of the visual system, which can be directly observed by fundus camera. The layer they form together inside the retina is the retinal nerve fiber layer (RNFL). This paper describes results of a texture RNFL analysis in color fundus photographs and compares these results with quantitative measurement of RNFL thickness obtained from optical coherence tomography on normal subjects. It is shown that local mean value, standard deviation, and Shannon entropy extracted from the green and blue channel of fundus images are correlated with corresponding RNFL thickness. The linear correlation coefficients achieved values 0.694, 0.547, and 0.512 for respective features measured on 439 retinal positions in the peripapillary area from 23 eyes of 15 different normal subjects.