24 November 2015 Automatic segmentation of the optic nerve head for deformation measurements in video rate optical coherence tomography
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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.
© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE)
Maribel Hidalgo-Aguirre, Julian Gitelman, Mark R. Lesk, Santiago Costantino, "Automatic segmentation of the optic nerve head for deformation measurements in video rate optical coherence tomography," Journal of Biomedical Optics 20(11), 116008 (24 November 2015). https://doi.org/10.1117/1.JBO.20.11.116008 . Submission:
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