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Journal of Biomedical Optics

Automatic segmentation of the optic nerve head for deformation measurements in video rate optical coherence tomography
Author(s): Maribel Hidalgo-Aguirre; Julian Gitelman; Mark R. Lesk; Santiago Costantino
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Paper Abstract

Optical coherence tomography (OCT) imaging has become a standard diagnostic tool in ophthalmology, providing essential information associated with various eye diseases. In order to investigate the dynamics of the ocular fundus, we present a simple and accurate automated algorithm to segment the inner limiting membrane in video-rate optic nerve head spectral domain (SD) OCT images. The method is based on morphological operations including a two-step contrast enhancement technique, proving to be very robust when dealing with low signal-to-noise ratio images and pathological eyes. An analysis algorithm was also developed to measure neuroretinal tissue deformation from the segmented retinal profiles. The performance of the algorithm is demonstrated, and deformation results are presented for healthy and glaucomatous eyes.

Paper Details

Date Published: 24 November 2015
PDF: 7 pages
J. Biomed. Opt. 20(11) 116008 doi: 10.1117/1.JBO.20.11.116008
Published in: Journal of Biomedical Optics Volume 20, Issue 11
Show Author Affiliations
Maribel Hidalgo-Aguirre, Institut National de la Recherche Scientifique (Canada)
Maisonneuve-Rosemont Hospital (Canada)
Julian Gitelman, Hôpital Maisonneuve-Rosemont (Canada)
Mark R. Lesk, Hôpital Maisonneuve-Rosemont (Canada)
Univ. de Montreal (Canada)
Santiago Costantino, Hôpital Maisonneuve-Rosemont (Canada)
Univ de Montréal (Canada)


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