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|a dc
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|a Waheed, Nadia K
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|a Massachusetts Institute of Technology. Institute for Medical Engineering & Science
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|a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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|a Moult, Eric Michael
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|a Fujimoto, James G
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|a Optical coherence tomography angiography (OCTA) flow speed mapping technology for retinal diseases
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|b Taylor & Francis,
|c 2021-02-03T18:35:38Z.
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|z Get fulltext
|u https://hdl.handle.net/1721.1/129648
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|a Introduction: Optical coherence tomography angiography (OCTA) is a noninvasive imaging modality for depth-resolved visualization of retinal vasculature. Angiographic data couples with structural data to generate a cube scan, from which en-face images of vasculature can be obtained at various axial positions. OCTA has expanded understanding of retinal vascular disorders and has primarily been used for qualitative analysis. Areas covered: Recent studies have explored the quantitative properties of OCTA, which would allow for objective assessment and follow-up of retinal pathologies. Various quantitative metrics have been developed, such as foveal avascular zone area and vessel density. However, quantitative assessment of the characteristics of retinal blood flow remains limited, as OCTA provides an image depicting either the presence or absence of flow at a particular region without information of relative velocities. The development of variable interscan time analysis (VISTA) overcomes this limitation. The VISTA algorithm generates a color-coded map of relative blood flow speeds. VISTA has already demonstrated utility in furthering our understanding of various retinal pathologies, such as geographic atrophy, choroidal neovascularization, aneurysmal type 1 neovascularization, and diabetic retinopathy. Expert commentary: VISTA, an OCTA flow speed mapping technique, may have a role in developing the utility of OCTA as a screening tool.
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|a United States. Air Force. Office of Scientific Research (Grant AFOSR FA9550-15-1-0473)
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|a National Institutes of Health (U.S.) (Grant NIH 5-R01-EY011289-31)
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|a en
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|a Article
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|t 10.1080/17434440.2018.1548932
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|t Expert Review of Medical Devices
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