J Opt Soc Am A Opt Image Sci Vis. 2022 Sep 1;39(9):1663-1672. doi: 10.1364/JOSAA.465889.
Fixational eye motion includes typical translation and torsion. In the registration of images from adaptive optics scanning light ophthalmoscopy (AOSLO), image rotation due to eye torsion and/or head rotation is often ignored because (a) the amount of rotation is trivial compared to translation within a short duration of imaging or recording time and (b) computational cost increases substantially when the registration algorithm involves simultaneous detection of rotation and translation. However, it becomes critically important under cases such as long exposure, functional measurements, and precise motion tracking. We developed a fast method to detect and correct rotation from AOSLO images, together with the detection of strip-level motion translation. The computational cost for rotation detection and correction alone is about 5 ms/frame (512×512 pixels) on an nVidia GTX960M GPU. Image quality is compared with and without rotation correction from 10 healthy human subjects and 8 diseased eyes with a total of 180 videos. The results show that residual image motions between the reference images and the registered images with rotation correction are a fraction of those without rotation correction, and the ratio is 0.74-0.89 at the image center and 0.37-0.51 at the four corners of the images.
固视眼动包括典型的平移和扭转。在自适应光学扫描激光检眼镜（AOSLO）图像的配准中，由于眼扭转和/或头部旋转引起的图像旋转通常被忽略，因为 (a) 在成像或记录时间较短的时间段内，旋转量与平移相比微不足道，以及 (b) 当配准算法涉及同时检测平移和旋转时，计算成本会大大增加。然而，在长时间曝光、功能测量和精确运动跟踪等情况下，这变得至关重要。我们开发了一种快速方法来检测和校正 AOSLO 图像中的旋转，同时检测条纹级别的运动平移。仅用于旋转检测和校正的计算成本约为 5 ms/帧（512×512 像素），在 nVidia GTX960M GPU 上。我们比较了 10 名健康受试者和 8 名患病眼睛的总共 180 个视频的 10 个健康受试者和 8 个患病眼睛的图像质量，比较了有无旋转校正的情况。结果表明，参考图像和经旋转校正的注册图像之间的残余图像运动是未进行旋转校正的图像运动的一小部分，图像中心的比值为 0.74-0.89，图像四个角的比值为 0.37-0.51。
