Giovanni Ometto1, Ismail Moghul2, Giovanni Montesano1,3,4, Andrew Hunter5, Nikolas Pontikos4,6, Pete R Jones1,4,6, Pearse A Keane4,6,7, Xiaoxuan Liu8,9, Alastair K Denniston7,8,9, David P Crabb1. 1. Division of Optometry and Visual Science, School of Health Sciences, City, University of London, London, UK. 2. UCL Cancer Institute, University College London, London, UK. 3. University of Milan, School of Ophthalmology, Milan, Italy. 4. Moorfields Eye Hospital, London, UK. 5. School of Computer Science, University of Lincoln, Lincoln, UK. 6. Institute of Ophthalmology, University College London, London, UK. 7. NIHR Biomedical Research Centre (Moorfields Eye Hospital NHS Foundation Trust/University College London), London, UK. 8. Queen Elizabeth Hospital Birmingham, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK. 9. Centre for Translational Inflammation Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham, UK.
Abstract
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 (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. 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). CONCLUSIONS: 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. TRANSLATIONAL RELEVANCE: A free online platform (ReLayer) provides free, accessible segmentation of OCT images: data often not available via existing commercial software.
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 (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. 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). CONCLUSIONS: 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. TRANSLATIONAL RELEVANCE: A free online platform (ReLayer) provides free, accessible segmentation of OCT images: data often not available via existing commercial software.
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