
Optical coherence tomography angiography (OCTA) is a signal processing and scan acquisition approach that enables OCT devices to clearly identify vascular tissue down to the capillary scale. As originally proposed, OCTA included several important limitations, including small fields of view relative to allied imaging modalities and the presence of confounding artifacts. New approaches, including both hardware and software, are solving these problems and can now produce high-quality angiograms from tissue throughout the retina and choroid. Image analysis tools have also improved, enabling OCTA data to be quantified at high precision and used to diagnose disease using deep learning models. This review highlights these advances and trends in OCTA technology, focusing on work produced since 2020.
Deep Learning, Retinal Diseases, Choroid, Image Processing, Computer-Assisted, Angiography, Humans, Retinal Vessels, Review, Fluorescein Angiography, Tomography, Optical Coherence
Deep Learning, Retinal Diseases, Choroid, Image Processing, Computer-Assisted, Angiography, Humans, Retinal Vessels, Review, Fluorescein Angiography, Tomography, Optical Coherence
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