OCT-OCTA segmentation: combining structural and blood flow information to segment Bruch’s membrane
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boe-12-1-84.pdf
Description
Published version
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8.65 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Schottenhamml, Julia
Moult, Eric M
Ploner, Stefan B
Chen, Siyu
Novais, Eduardo
Husvogt, Lennart
Duker, Jay S
Waheed, Nadia K
Fujimoto, James G
Maier, Andreas K
Date Issued
2021
Journal
Biomedical Optics Express
Publisher
The Optical Society
Citation
Schottenhamml, Julia, Moult, Eric M, Ploner, Stefan B, Chen, Siyu, Novais, Eduardo et al. 2021. "OCT-OCTA segmentation: combining structural and blood flow information to segment Bruch’s membrane." Biomedical Optics Express, 12 (1).
Version
Final published version
Abstract
© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement In this paper we present a fully automated graph-based segmentation algorithm that jointly uses optical coherence tomography (OCT) and OCT angiography (OCTA) data to segment Bruch's membrane (BM). This is especially valuable in cases where the spatial correlation between BM, which is usually not visible on OCT scans, and the retinal pigment epithelium (RPE), which is often used as a surrogate for segmenting BM, is distorted by pathology. We validated the performance of our proposed algorithm against manual segmentation in a total of 18 eyes from healthy controls and patients with diabetic retinopathy (DR), non-exudative age-related macular degeneration (AMD) (early/intermediate AMD, nascent geographic atrophy (nGA) and drusen-associated geographic atrophy (DAGA) and geographic atrophy (GA)), and choroidal neovascularization (CNV) with a mean absolute error of ∼0.91 pixel (∼4.1 µm). This paper suggests that OCT-OCTA segmentation may be a useful framework to complement the growing usage of OCTA in ophthalmic research and clinical communities.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
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DOI of Published Version
https://doi.org/10.1364/BOE.398222
