Abstract
To improve optic disc boundary detection and peripapillary retinal layer segmentation, we propose an automated approach for structural and angiographic optical coherence tomography. The algorithm was performed on radial cross-sectional B-scans. The disc boundary was detected by searching for the position of Bruch’s membrane opening, and retinal layer boundaries were detected using a dynamic programming-based graph search algorithm on each B-scan without the disc region. A comparison of the disc boundary using our method with that determined by manual delineation showed good accuracy, with an average Dice similarity coefficient ≥0.90 in healthy eyes and eyes with diabetic retinopathy and glaucoma. The layer segmentation accuracy in the same cases was on average less than one pixel (3.13 μm).
Original language | English (US) |
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Article number | #282471 |
Pages (from-to) | 1306-1318 |
Number of pages | 13 |
Journal | Biomedical Optics Express |
Volume | 8 |
Issue number | 3 |
DOIs | |
State | Published - Mar 1 2017 |
ASJC Scopus subject areas
- Biotechnology
- Atomic and Molecular Physics, and Optics