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ODSTRČILÍK, J. KOLÁŘ, R. TORNOW, R. JAN, J. BUDAI, A. MAYER, M. VODÁKOVÁ, M. LAEMMER, R. LAMOŠ, M. KUNA, Z. GAZÁREK, J. KUBĚNA, T. ČERNOŠEK, P. RONZHINA, M.
Original Title
Thickness related textural properties of retinal nerve fiber layer in color fundus images
Type
journal article in Web of Science
Language
English
Original 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.
Keywords
Glaucoma; Retinal nerve fiber layer; Texture analysis; Fundus images; Local binary patterns; Markov random fields
Authors
ODSTRČILÍK, J.; KOLÁŘ, R.; TORNOW, R.; JAN, J.; BUDAI, A.; MAYER, M.; VODÁKOVÁ, M.; LAEMMER, R.; LAMOŠ, M.; KUNA, Z.; GAZÁREK, J.; KUBĚNA, T.; ČERNOŠEK, P.; RONZHINA, M.
RIV year
2014
Released
21. 5. 2014
Publisher
Elsevier
ISBN
0895-6111
Periodical
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
Year of study
38
Number
6
State
United States of America
Pages from
508
Pages to
516
Pages count
9
URL
https://www.sciencedirect.com/science/article/pii/S0895611114000652?via%3Dihub
Full text in the Digital Library
http://hdl.handle.net/11012/201740
BibTex
@article{BUT108235, author="Jan {Odstrčilík} and Radim {Kolář} and Ralf-Peter {Tornow} and Jiří {Jan} and Attila {Budai} and Markus A. {Mayer} and Martina {Vodáková} and Robert {Laemmer} and Martin {Lamoš} and Zdeněk {Kuna} and Jiří {Gazárek} and Tomáš {Kuběna} and Pavel {Černošek} and Marina {Filipenská}", title="Thickness related textural properties of retinal nerve fiber layer in color fundus images", journal="COMPUTERIZED MEDICAL IMAGING AND GRAPHICS", year="2014", volume="38", number="6", pages="508--516", doi="10.1016/j.compmedimag.2014.05.005", issn="0895-6111", url="https://www.sciencedirect.com/science/article/pii/S0895611114000652?via%3Dihub" }