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Proceedings Paper

Automated retinal layer segmentation and characterization
Author(s): Jonathan Luisi; David Briley; Adam Boretsky; Massoud Motamedi
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Paper Abstract

Spectral Domain Optical Coherence Tomography (SD-OCT) is a valuable diagnostic tool in both clinical and research settings. The depth-resolved intensity profiles generated by light backscattered from discrete layers of the retina provide a non-invasive method of investigating progressive diseases and injury within the eye. This study demonstrates the application of steerable convolution filters capable of automatically separating gradient orientations to identify edges and delineate tissue boundaries. The edge maps were recombined to measure thickness of individual retinal layers. This technique was successfully applied to longitudinally monitor changes in retinal morphology in a mouse model of laser-induced choroidal neovascularization (CNV) and human data from age-related macular degeneration patients. The steerable filters allow for direct segmentation of noisy images, while novel recombination of weaker segmentations allow for denoising post-segmentation. The segmentation before denoising strategy allows the rapid detection of thin retinal layers even under suboptimal imaging conditions.

Paper Details

Date Published: 19 May 2014
PDF: 10 pages
Proc. SPIE 9155, Translational Biophotonics, 91551N (19 May 2014); doi: 10.1117/12.2057814
Show Author Affiliations
Jonathan Luisi, The Univ. of Texas Medical Branch (United States)
David Briley, The Univ. of Texas Medical Branch (United States)
Adam Boretsky, The Univ. of Texas Medical Branch (United States)
Massoud Motamedi, The Univ. of Texas Medical Branch (United States)

Published in SPIE Proceedings Vol. 9155:
Translational Biophotonics
Tomasz S. Tkaczyk, Editor(s)

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