Analysis of the Retinal Nerve Fiber Layer Texture Related to the Thickness Measured by Optical Coherence Tomography
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F15%3A00062985" target="_blank" >RIV/00159816:_____/15:00062985 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26220/15:PU113965
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-13407-9_2" target="_blank" >http://dx.doi.org/10.1007/978-3-319-13407-9_2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-13407-9_2" target="_blank" >10.1007/978-3-319-13407-9_2</a>
Alternative languages
Result language
angličtina
Original language name
Analysis of the Retinal Nerve Fiber Layer Texture Related to the Thickness Measured by Optical Coherence Tomography
Original language description
The retinal nerve fiber layer (RNFL) is one of the most affected retinal structures due to the glaucoma disease. Progression of this disease results in the RNFL atrophy that can be detected as the decrease of the layer's thickness. Usually, the RNFL thickness can be assessed by optical coherence tomography (OCT). However, an examination using OCT is rather expensive and still not widely available. On the other hand, fundus camera is considered as a common and fundamental diagnostic device utilized at many ophthalmic facilities worldwide. This contribution presents a novel approach to texture analysis enabling assessment of the RNFL thickness in widely used colour fundus photographs. The aim is to propose a regression model based on different texture features effective for description of changes in the RNFL textural appearance related to the variations of RNFL thickness. The performance evaluation uses OCT as a gold standard modality for validation of the proposed approach. The results
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
EI - Biotechnology and bionics
OECD FORD branch
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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
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Developments in Medical Image Processing and Computational Vision
ISBN
978-3-319-13406-2
Number of pages of the result
22
Pages from-to
1-22
Number of pages of the book
395
Publisher name
Springer
Place of publication
Švýcarsko
UT code for WoS chapter
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