  In this study, we demonstrate a novel self-navigated motion correction method
that suppresses eye motion and blinking artifacts on wide-field optical
coherence tomographic angiography (OCTA) without requiring any hardware
modification. Highly efficient GPU-based, real-time OCTA image acquisition and
processing software was developed to detect eye motion artifacts. The algorithm
includes an instantaneous motion index that evaluates the strength of motion
artifact on en face OCTA images. Areas with suprathreshold motion and eye
blinking artifacts are automatically rescanned in real-time. Both healthy eyes
and eyes with diabetic retinopathy were imaged, and the self-navigated motion
correction performance was demonstrated.
