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

Highlights • A texture analysis approach for assessment of the retinal nerve fiber layer thickness in color fundus images. • Suitable for computer-aided diagnosis of glaucoma. • Advanced texture analysis methods – local binary patterns and Gaussian Markov random fields. • Results compared to measure...

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Bibliographic Details
Published in:Computerized medical imaging and graphics 2014-09, Vol.38 (6), p.508-516
Main Authors: Odstrcilik, Jan, Kolar, Radim, Tornow, Ralf-Peter, Jan, Jiri, Budai, Attila, Mayer, Markus, Vodakova, Martina, Laemmer, Robert, Lamos, Martin, Kuna, Zdenek, Gazarek, Jiri, Kubena, Tomas, Cernosek, Pavel, Ronzhina, Marina
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Biological and medical sciences
Color
Computer science
control theory
systems
Diseases of visual field, optic nerve, optic chiasma and optic tracts
Exact sciences and technology
Fundus images
Fundus Oculi
Glaucoma
Glaucoma - pathology
Humans
Image Enhancement - methods
Internal Medicine
Investigative techniques of ocular function and vision
Investigative techniques, diagnostic techniques (general aspects)
Local binary patterns
Markov Chains
Markov random fields
Medical sciences
Nerve Fibers - pathology
Normal Distribution
Ophthalmology
Optic Disk - pathology
Other
Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques
Pattern recognition. Digital image processing. Computational geometry
Retinal Ganglion Cells - pathology
Retinal nerve fiber layer
Texture analysis
Tomography, Optical Coherence
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Description
Summary:Highlights • A texture analysis approach for assessment of the retinal nerve fiber layer thickness in color fundus images. • Suitable for computer-aided diagnosis of glaucoma. • Advanced texture analysis methods – local binary patterns and Gaussian Markov random fields. • Results compared to measurements provided by optical coherence tomography.
ISSN:0895-6111
1879-0771
DOI:10.1016/j.compmedimag.2014.05.005