Hu Xinqi, Yang Qiang
J Opt Soc Am A Opt Image Sci Vis. 2019 May 1;36(5):716-721. doi: 10.1364/JOSAA.36.000716.
A model of closed-loop retinal motion tracking in an adaptive optics scanning light ophthalmoscope (AOSLO) was built, and the tracking performance was optimized by minimizing the root-mean-square of residual motion. We started with an evaluation of the fidelity of the retinal motion measurement, and then analyzed the transfer function of the system and power spectral density of retinal motion from human eyes, to achieve optimal control gain and sampling frequency. The performance was further enhanced by incorporating retinal motion prediction during the period in which the slow scanner was retracing. After optimization, residual image motion performance was improved by 33% with a nearly 50% reduction in computational cost in comparison to our previous setup, reaching a 3 dB bandwidth of 15-17 Hz, which is close to the frame rate (∼21 fps) of this AOSLO system.
构建了自适应光学扫描激光检眼镜（AOSLO）中的闭环视网膜运动跟踪模型，并通过最小化残余运动的均方根来优化跟踪性能。我们首先评估了视网膜运动测量的保真度，然后分析了系统的传递函数和人眼视网膜运动的功率谱密度，以实现最佳控制增益和采样频率。通过在慢速扫描仪回程期间纳入视网膜运动预测，性能得到了进一步提高。优化后，与我们之前的设置相比，残余图像运动性能提高了33%，计算成本降低了近50%，达到了15 - 17 Hz的3 dB带宽，这接近该AOSLO系统的帧率（约21帧/秒）。
