Thickness related textural properties of retinal nerve fiber layer in color fundus images
Loading...
Date
2014-05-21
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Altmetrics
Abstract
Images of ocular fundus are routinely utilized in ophthalmology. Since an examination using fundus camera is relatively fast and cheap procedure, it can be used as a proper diagnostic tool for screening of retinal diseases such as the glaucoma. One of the glaucoma symptoms is progressive atrophy of the retinal nerve fiber layer (RNFL) resulting in variations of the RNFL thickness. Here, we introduce a novel approach to capture these variations using computer-aided analysis of the RNFL textural appearance in standard and easily available color fundus images. The proposed method uses the features based on Gaussian Markov random fields and local binary patterns, together with various regression models for prediction of the RNFL thickness. The approach allows description of the changes in RNFL texture, directly reflecting variations in the RNFL thickness. Evaluation of the method is carried out on 16 normal (healthy) and 8 glaucomatous eyes. We achieved significant correlation (normals: R=0.72, p<0.05, glaucomatous: R=0.58, p<0.05) between values of the model predicted output and the RNFL thickness measured by optical coherence tomography, which is currently regarded as a standard glaucoma assessment device. The evaluation thus revealed good applicability of the proposed approach to measure possible RNFL thinning.
Článek se zabývá texturní analýzou fundus fotografií pomocí texturní analýzy za účelem odhadu tloušťky vrstvy nervových vláken.
Článek se zabývá texturní analýzou fundus fotografií pomocí texturní analýzy za účelem odhadu tloušťky vrstvy nervových vláken.
Description
Citation
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS. 2014, vol. 38, issue 6, p. 508-516.
https://www.sciencedirect.com/science/article/pii/S0895611114000652?via%3Dihub
https://www.sciencedirect.com/science/article/pii/S0895611114000652?via%3Dihub
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en
Study field
Comittee
Date of acceptance
Defence
Result of defence
Document licence
Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 Unported
http://creativecommons.org/licenses/by-nc-nd/3.0/
http://creativecommons.org/licenses/by-nc-nd/3.0/