Abstract
Quantitative analysis of the peripapillary retinal layers and capillary plexuses from optical coherence tomography (OCT) and OCT angiography images depend on two segmentation tasks – delineating the boundary of the optic disc and delineating the boundaries between retinal layers. Here, we present a method combining a neural network and graph search to perform these two tasks. A comparison of this novel method’s segmentation of the disc boundary showed good agreement with the ground truth, achieving an overall Dice similarity coefficient of 0.91 ± 0.04 in healthy and glaucomatous eyes. The absolute error of retinal layer boundaries segmentation in the same cases was 4.10 ± 1.25 µm.
Original language | English (US) |
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Article number | 368487 |
Pages (from-to) | 4340-4352 |
Number of pages | 13 |
Journal | Biomedical Optics Express |
Volume | 10 |
Issue number | 8 |
DOIs | |
State | Published - Aug 1 2019 |
ASJC Scopus subject areas
- Biotechnology
- Atomic and Molecular Physics, and Optics