The retinal vasculature has plexuses at multiple depths, interconnected in a complex pattern. While optical coherence tomography angiography (OCTA) visualizes the vasculature at the capillary level, creating a 3D representation of the vasculature, including the connections between plexuses, remains a challenge. Here, we employ Optimally Oriented Flux (OOF) on retinal OCTA to simultaneously preserve the inter-plexus connections and suppress projection artifacts, facilitating high-contrast 3D visualization of the vasculature. Furthermore, a novel framework is developed to transform the vasculature into a graph, which enables quantification of ‘importance’ of each capillary using betweenness centrality and simulation of capillary non-perfusion.
Retinal capillary blood flow speeds quantification may provide biomarkers for retinal diseases. While OCTA visualizes the retinal vasculature, it provides limited information about the blood flow speeds. We present an OCTA-based method for measuring quantitative surrogate markers for blood flow speeds in retinal capillaries using a temporal autocorrelation decay model, by acquiring multiple OCT B-scan repeats and compiling OCTA measurements both spatially and temporally. A 600 kHz swept light source enabled short and multiple interscan times with fine A-scan spacing. We show blood flow speed differences among retinal vascular plexuses in healthy eyes and alterations in eyes with diabetic retinopathy.
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