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Automatic retinal nerve fiber bundle tracing based on large field of view polarization sensitive OCT data
Author(s) -
Florian Schwarzhans,
Sylvia Desissaire,
Stefan H. Steiner,
Michael Pircher,
Christoph K. Hitzenberger,
Hemma Resch,
Clemens Vass,
Georg Fischer
Publication year - 2021
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.443958
Subject(s) - optical coherence tomography , glaucoma , retinal , computer science , bundle , optics , fiber bundle , artificial intelligence , optic nerve , computer vision , tracing , nerve fiber , optical fiber , polarization (electrochemistry) , physics , ophthalmology , anatomy , materials science , medicine , composite material , chemistry , operating system
A technique to accurately estimate trajectories of retinal nerve fiber bundles (RNFB) in a large field of view (FOV) image covering 45° is described. The method utilizes stitched projections of polarization-sensitive optical coherence tomography (PS-OCT) data, as well as a mathematical model of average RNFB trajectories as prior. The fully automatic process was applied to data recorded in healthy subjects and glaucoma patients and automatically detected individual RNFB trajectories are compared to manual traces.

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