Journal
BIOMEDICAL OPTICS EXPRESS
Volume 10, Issue 3, Pages 1514-1531Publisher
OPTICAL SOC AMER
DOI: 10.1364/BOE.10.001514
Keywords
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Funding
- National Institutes of Health (Bethesda, MD) [R01EY027833, DP3 DK104397, R01 EY024544, P30 EY010572]
- William & Mary Greve Special Scholar Award from Research to Prevent Blindness (New York, NY)
- Research to Prevent Blindness (New York, NY)
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Frequently, when imaging retinal vasculature with optical coherence tomography angiography (OCTA) in diseased eyes, there are unavoidable obstacles to the propagation of light such as vitreous floaters or the pupil boundary. These obstacles can block the optical coherence tomography (OCT) beam and impede the visualization of the underlying retinal microcirculation. Detecting these shadow artifacts is especially important in the quantification of metrics that assess retinal disease progression because they might masquerade as regional perfusion loss. In this work, we present an algorithm to identify shadowed areas in OCTA of healthy subjects as well as patients with diabetic retinopathy, uveitis and age-related macular degeneration. The aim is to exclude these areas from analysis so that the overall OCTA parameters are minimally affected by shadow artifacts. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
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