2018
DOI: 10.1364/boe.9.005147
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MEDnet, a neural network for automated detection of avascular area in OCT angiography

Abstract: Screening and assessing diabetic retinopathy (DR) are essential for reducing morbidity associated with diabetes. Macular ischemia is known to correlate with the severity of retinopathy. Recent studies have shown that optical coherence tomography angiography (OCTA), with intrinsic contrast from blood flow motion, is well suited for quantified analysis of the avascular area, which is potentially a useful biomarker in DR. In this study, we propose the first deep learning solution to segment the avascular area in … Show more

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Cited by 75 publications
(52 citation statements)
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“…FA and ICGA have some limitations such as intravenous dye administration, time consuming (up to 20 minutes), absence of topographic 3-dimensional (3D) images, low image resolution, and difficulty in the quantification of findings [10]. e introduction of OCT angiography (OCT-A) has solved these issues and provides rapid, noninvasive, high-resolution 3D images, and reliable quantitative data from the retinal and choroidal vasculature and structures [11][12][13].…”
Section: Introductionmentioning
confidence: 99%
“…FA and ICGA have some limitations such as intravenous dye administration, time consuming (up to 20 minutes), absence of topographic 3-dimensional (3D) images, low image resolution, and difficulty in the quantification of findings [10]. e introduction of OCT angiography (OCT-A) has solved these issues and provides rapid, noninvasive, high-resolution 3D images, and reliable quantitative data from the retinal and choroidal vasculature and structures [11][12][13].…”
Section: Introductionmentioning
confidence: 99%
“…The maximum SBP and within-patient SD of SBP were negatively correlated with SVP vessel density, while positively correlated with SVP flow void area. Both vessel density and flow void area could be biomarkers for retinal vascular injury 8,15,16,31 . More severe vascular injury tends to present a larger flow void area and a lower vessel density.…”
Section: Discussionmentioning
confidence: 99%
“…3(c)) that may be visible but cannot be reliably annotated due to the inherent difficulty in inferring their shape and connectivity, especially in the 8 mm by 8 mm scans. Finally, we believe that works that address the task foveal avascular zone (FAZ) quantification in OCT-A [29] are complimentary to our vessel segmentation method and potentially there exists a synergy between the two tasks due to their common spatial and functional support.…”
Section: State-of-the-art Retinal Vessel Segmentationmentioning
confidence: 99%