Research Papers: Imaging

Automatic segmentation of the optic nerve head for deformation measurements in video rate optical coherence tomography

[+] Author Affiliations
Maribel Hidalgo-Aguirre

Institut National de la Recherche Scientifique Centre Energie, Materiaux et Telecommunications, 1650 Boulevard Lionel-Boulet, Varennes, Québec J3X 1S2, Canada

Maisonneuve-Rosemont Hospital, Research Center, 5415 L’Assomption, Montreal, QC H1T 2M4, Canada

Julian Gitelman

Maisonneuve-Rosemont Hospital, Research Center, 5415 L’Assomption, Montreal, QC H1T 2M4, Canada

Mark Richard Lesk, Santiago Costantino

Maisonneuve-Rosemont Hospital, Research Center, 5415 L’Assomption, Montreal, QC H1T 2M4, Canada

Universite de Montreal, Ophthalmology Department, Faculty of Medicine, 2900 Boulevard Edouard-Montpetit, Montreal, QC H3T 1J4, Canada

J. Biomed. Opt. 20(11), 116008 (Nov 24, 2015). doi:10.1117/1.JBO.20.11.116008
History: Received April 27, 2015; Accepted October 22, 2015
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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.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Maribel Hidalgo-Aguirre ; Julian Gitelman ; Mark Richard Lesk and Santiago Costantino
"Automatic segmentation of the optic nerve head for deformation measurements in video rate optical coherence tomography", J. Biomed. Opt. 20(11), 116008 (Nov 24, 2015). ; http://dx.doi.org/10.1117/1.JBO.20.11.116008


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