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Giovanni Ometto, Ismail Moghul, Giovanni Montesano, Andrew Hunter, Nikolas Pontikos, Pete R. Jones, Pearse A. Keane, Xiaoxuan Liu, Alastair K. Denniston, David P. Crabb; ReLayer: a Free, Online Tool for Extracting Retinal Thickness From Cross-Platform OCT Images. Trans. Vis. Sci. Tech. 2019;8(3):25. doi: https://doi.org/10.1167/tvst.8.3.25.
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To describe and evaluate a free, online tool for automatically segmenting optical coherence tomography (OCT) images from different devices and computing summary measures such as retinal thickness.
ReLayer (https://relayer.online) is an online platform to which OCT scan images can be uploaded and analyzed. Results can be downloaded as plaintext (.csv) files. The segmentation method includes a novel, one-dimensional active contour model, designed to locate the inner limiting membrane, inner/outer segment, and retinal pigment epithelium. The method, designed for B-scans from Heidelberg Engineering Spectralis, was adapted for Topcon 3D OCT-2000 and OptoVue AngioVue. The method was applied to scans from healthy and pathological eyes, and was validated against segmentation by the manufacturers, the IOWA Reference Algorithms, and manual segmentation.
Segmentation of a B-scan took ≤1 second. In healthy eyes, mean difference in retinal thickness from ReLayer and the reference standard was below the resolution of the Spectralis and 3D OCT-2000, and slightly above the resolution of the AngioVue. In pathological eyes, ReLayer performed similarly to IOWA (P = 0.97) and better than Spectralis (P < 0.001).
A free online platform (ReLayer) is capable of segmenting OCT scans with similar speed, accuracy, and reliability as the other tested algorithms, but offers greater accessibility. ReLayer could represent a valuable tool for researchers requiring the full segmentation, often not made available by commercial software.
A free online platform (ReLayer) provides free, accessible segmentation of OCT images: data often not available via existing commercial software.
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