Recently, the functional extension of optical coherence tomography (OCT) with OCT angiography (OCTA) allows
volumetric imaging of the subsurface microvasculature without requiring exogenous contrast agents like conventional
angiography techniques. However, performing OCTA requires intensive computation to extract the changes of OCT
signal due to moving red blood cells in the microvascular network. In this study, we have developed a graphic processing
unit (GPU)-accelerated framework to realize high speed OCTA imaging and the visualization of the microvascular
network after the data acquisition. In addition, we investigate the feasibility of providing real-time microvascular imaging
leveraging dynamic scattering OCT and GPU.
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