City Research Online

ReLayer: a free, online tool for extracting retinal thickness from cross-platform OCT images

Ometto, G., Moghul, I., Montesano, G. , Hunter, A., Pontikos, N., Jones, P. R. ORCID: 0000-0001-7672-8397, Keane, P. A., Xioxuan, L., Denniston, A. K. & Crabb, D. P. (2019). ReLayer: a free, online tool for extracting retinal thickness from cross-platform OCT images. Translational Vision Science & Technology, 8(3), article number 25. doi: 10.1167/tvst.8.3.25


Purpose: 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.

Methods: ReLayer ( 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, 1-dimensional active contour model, designed to locate the inner limiting membrane, inner/outer segmentand 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 39IOWA Reference Algorithms,and manual segmentation.

Results: 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).

Publication Type: Article
Additional Information: Copyright 2019, The Authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Publisher Keywords: optical coherence tomography; image analysis; segmentation
Subjects: R Medicine > RE Ophthalmology
Departments: School of Health & Psychological Sciences > Optometry & Visual Sciences
SWORD Depositor:
[thumbnail of i2164-2591-8-3-25.pdf]
Text - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (1MB) | Preview


Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email


Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login