Draelos Mark, Viehland Christian, Mcnabb Ryan P, Kuo Anthony N, Izatt Joseph A
Department of Biomedical Engineering, Duke University.
Department of Ophthalmology, Duke University Medical Center.
Optica. 2022 Nov 20;9(11):1276-1288. doi: 10.1364/optica.472562.
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.
点扫描成像模式，如光学相干断层扫描（OCT），受图像分辨率、采样率和扫描仪动态特性所决定的帧率限制。对于静态背景上具有动态特征的场景，自适应扫描通过仅在需要时访问扫描位置来突破这些限制。我们采用概率方法实现了自适应扫描，该方法在对已知动态位置进行重新成像与探索未发现位置之间取得平衡。我们在使用扫频源OCT系统模拟多目标跟踪和眼科手术的模型系统中评估了我们的方法。我们展示了帧率加速超过5倍且图像质量无下降，否则该性能将需要显著更快的光源。
