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In this study, we demonstrate a novel self-tracking method to suppress eye motions on wide-field optical coherence tomography angiography (OCTA) with a high scanning efficiency. GPU-based real-time OCTA image acquisition and processing software was developed to calculate the eye motion artifacts. An instantaneous motion index was introduced to evaluate the strength of motion artifact on en face OCTA images. Areas with suprathreshold motion and eye blinking artifacts can be rescanned in real-time.
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