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Title: Quantification of intrinsic optical signals in the outer human retina using optical coherence tomography
Authors: Messner, Alina
Dos Santos, Valentin Aranha
Stegmann, Hannes
Puchner, Stefan
Schmidl, Doreen
Leitgeb, Rainer
Schmetterer, Leopold
Werkmeister, René M.
Keywords: Engineering::Bioengineering
Issue Date: 2022
Source: Messner, A., Dos Santos, V. A., Stegmann, H., Puchner, S., Schmidl, D., Leitgeb, R., Schmetterer, L. & Werkmeister, R. M. (2022). Quantification of intrinsic optical signals in the outer human retina using optical coherence tomography. Annals of the New York Academy of Sciences, 1510(1), 145-157.
Journal: Annals of the New York Academy of Sciences
Abstract: Intrinsic optical signals constitute a noninvasive biomarker promising the objective assessment of retinal photoreceptor function. We employed a commercial optical coherence tomography (OCT) system and an OCT signal model for evaluation of optical path length (OPL) changes in the temporal outer retina of five healthy subjects during light adaptation. Data were acquired at 30 time points, in ambient light and during long duration stimulation with white light, and analyzed, employing a signal model based on the sum of seven Gaussian curves corresponding to all relevant anatomical structures of the outer retina. During light stimulation, mean OPL between rod outer segment tips (ROST) and the retinal pigment epithelium (RPE) decreased by 21.4 ± 3.5%. Further, OPL between the external-limiting membrane (ELM) and the RPE decreased by 5.2 ± 0.9% versus baseline, while OPL between ELM and ROST showed an initial decrease by 2.1 ± 1.6% versus baseline and, thereafter, increased by 2.8 ± 2.1% versus baseline. Thus, the presented approach allowed for assess to dynamic changes in the outer retina in response to light. The change in the subretinal space occurring in the context of light adaptation could be measured using a standard OCT platform and a dedicated signal model.
ISSN: 0077-8923
DOI: 10.1111/nyas.14721
Rights: © 2021 The Authors. Annals of the New York Academy of Sciences published by Wiley Periodicals LLC on behalf of New York Academy of Sciences. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
Fulltext Permission: open
Fulltext Availability: With Fulltext
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