Adaptive point-scan imaging beyond the frame rate-resolution limit with scene-reactive scan trajectories

Point-scanned imaging modalities, such as optical coherence tomography (OCT), are subject to frame rate limits governed by image resolution, sampling rate, and scanner dynamics. For scenes with dynamic features on static backgrounds, adaptive scanning escapes these limits by visiting scan positions only as needed. We implemented adaptive scanning using a probabilistic approach that balanced re-imaging of known dynamic positions with exploration for undiscovered ones. We evaluated our approach in model systems that simulated multi-target tracking and ophthalmic surgery using a swept-source OCT system. We demonstrate frame rate speedups in excess of 5× without degradation in image quality, performance that would have otherwise required a significantly faster source.