Thickness related textural properties of retinal nerve fiber layer in color fundus images

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dc.contributor.authorOdstrčilík, Jancs
dc.contributor.authorKolář, Radimcs
dc.contributor.authorTornow, Ralf-Petercs
dc.contributor.authorJan, Jiřícs
dc.contributor.authorBudai, Attilacs
dc.contributor.authorMayer, Markus A.cs
dc.contributor.authorVodáková, Martinacs
dc.contributor.authorLaemmer, Robertcs
dc.contributor.authorLamoš, Martincs
dc.contributor.authorKuna, Zdeněkcs
dc.contributor.authorGazárek, Jiřícs
dc.contributor.authorKuběna, Tomášcs
dc.contributor.authorČernošek, Pavelcs
dc.contributor.authorFilipenská, Marinacs
dc.coverage.issue6cs
dc.coverage.volume38cs
dc.date.issued2014-05-21cs
dc.description.abstractImages 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.en
dc.description.abstractČlánek se zabývá texturní analýzou fundus fotografií pomocí texturní analýzy za účelem odhadu tloušťky vrstvy nervových vláken.cs
dc.formattextcs
dc.format.extent508-516cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationCOMPUTERIZED MEDICAL IMAGING AND GRAPHICS. 2014, vol. 38, issue 6, p. 508-516.en
dc.identifier.doi10.1016/j.compmedimag.2014.05.005cs
dc.identifier.issn0895-6111cs
dc.identifier.orcid0000-0001-7053-6183cs
dc.identifier.orcid0000-0002-0469-6397cs
dc.identifier.orcidH-7316-2018cs
dc.identifier.orcid0000-0003-1366-8336cs
dc.identifier.other108235cs
dc.identifier.researcheridA-2237-2016cs
dc.identifier.researcheridC-8547-2014cs
dc.identifier.researcheridA-1855-2016cs
dc.identifier.scopus35753651000cs
dc.identifier.scopus37104795300cs
dc.identifier.urihttp://hdl.handle.net/11012/201740
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofCOMPUTERIZED MEDICAL IMAGING AND GRAPHICScs
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S0895611114000652?via%3Dihubcs
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 3.0 Unportedcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/0895-6111/cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cs
dc.subjectGlaucomaen
dc.subjectRetinal nerve fiber layeren
dc.subjectTexture analysisen
dc.subjectFundus imagesen
dc.subjectLocal binary patternsen
dc.subjectMarkov random fieldsen
dc.subjectglaukom; vrstva nervových vláken
dc.subjecttexturní analýza
dc.subjectsnímky sítnice
dc.subjectlokální binární vzory
dc.subjectMarkovovy náhodná pole
dc.titleThickness related textural properties of retinal nerve fiber layer in color fundus imagesen
dc.title.alternativeTexturní vlastnosti vrstvy nervových vláken v barevných snímích sítnicecs
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-108235en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:39:49en
sync.item.modts2025.01.17 18:40:36en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav biomedicínského inženýrstvícs
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