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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F14%3A00061125" target="_blank" >RIV/00159816:_____/14:00061125 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216305:26220/14:PU109541

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.compmedimag.2014.05.005" target="_blank" >http://dx.doi.org/10.1016/j.compmedimag.2014.05.005</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.compmedimag.2014.05.005" target="_blank" >10.1016/j.compmedimag.2014.05.005</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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:

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    FS - Medical facilities, apparatus and equipment

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED1.100%2F02%2F0123" target="_blank" >ED1.100/02/0123: St. Anne´s University Hospital Brno - International Clinical Research Center (FNUSA-ICRC)</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Computerized Medical Imaging and Graphics

  • ISSN

    0895-6111

  • e-ISSN

  • Volume of the periodical

    38

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    9

  • Pages from-to

    508-516

  • UT code for WoS article

    000341674000008

  • EID of the result in the Scopus database