Přístupnostní navigace
E-application
Search Search Close
Publication detail
JAN, J. ODSTRČILÍK, J. GAZÁREK, J. KOLÁŘ, R.
Original Title
Retinal Image Analysis Aimed at Blood Vessel Tree Segmentation and Early Detection of Neural-Layer Deterioration
Type
journal article - other
Language
English
Original Abstract
An automatic method of segmenting the retinal vessel tree and estimating status of retinal neural fibre layer (NFL) from high resolution fundus camera images is presented. First, reliable blood vessel segmentation, using 2D directional matched filtering, enables to remove areas occluded by blood vessels thus leaving remaining retinal area available to the following NFL detection. The local existence of rather faint and hardly visible NFL is detected by combining several newly designed local textural features, sensitive to subtle NFL characteristics, into feature vectors submitted to a trained neural-network classifier. Obtained binary retinal maps of NFL distribution show a good agreement with both medical expert evaluations and quantitative results obtained by optical coherence tomography.
Keywords
retinal imaging, fundus-camera, retinal vessel tree, retinal neural fibre layer, image segmentation, 2D matched filtering, texture analysis, 2D spectra, edge maps
Authors
JAN, J.; ODSTRČILÍK, J.; GAZÁREK, J.; KOLÁŘ, R.
RIV year
2012
Released
3. 9. 2012
Publisher
Elsevier
Location
Amsterdam (worldwide)
ISBN
0895-6111
Periodical
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
Year of study
Number
6
State
United States of America
Pages from
431
Pages to
441
Pages count
11
BibTex
@article{BUT92587, author="Jiří {Jan} and Jan {Odstrčilík} and Jiří {Gazárek} and Radim {Kolář}", title="Retinal Image Analysis Aimed at Blood Vessel Tree Segmentation and Early Detection of Neural-Layer Deterioration", journal="COMPUTERIZED MEDICAL IMAGING AND GRAPHICS", year="2012", volume="2012", number="6", pages="431--441", issn="0895-6111" }