Low Latency Eye-Motion Compensation

项目总结 自适应光学(AO)扫描眼底镜可实现显微视网膜的无创可视化 通过校正每只眼睛独特的光学模糊来构建。然而，在这些工具中，图像 非自愿注视眼球运动造成的扭曲是提高理解的障碍，早期 眼科疾病的诊断和管理。我们建议开发高带宽的眼动稳定器 技术和图像配准软件，即使在最极端的受试者中也能减轻这种扭曲 各种形式的非自主眼球运动，包括眼球震颤。这将通过使用高帧速率的光瞳来实现 跟踪器，测量眼睛的方向，并通过控制电流光学扫描器同时 用亚毫秒级的AO扫描检眼镜稳定瞳孔和视网膜的视野 延迟。我们的目标是开发低成本、低复杂性和高带宽的视网膜成像稳定器 可用于升级AO和非AO眼底镜的仪器，使用控制算法 它结合了眼球运动预测、电子和机械延迟。最后，我们还将发展形象 用于扫描检眼镜的配准软件，使用高帧频瞳孔跟踪来改进 此外，它还可以提高精度和降低故障率，并自动识别不失真的参照系。这个 建议的技术将适用于所有扫描眼底镜，无论成像方式如何。

PROJECT SUMMARY Adaptive optics (AO) scanning ophthalmoscopy allows non-invasive visualization of microscopic retinal structures by correcting the optical blur that is unique to each eye. In these instruments, however, image distortion due to involuntary fixational eye movement is a barrier to improving the understanding, early diagnosing, and management of eye disease. We propose to develop high-bandwidth eye motion stabilization technology and image registration software to mitigate this distortion even in subjects with the most extreme forms of involuntary eye motion, including nystagmus. This will be achieved by using a high frame rate pupil tracker that measures the eye’s orientation and by steering galvanometric optical scanners to simultaneously stabilize the view of the pupil and the retina as seen by AO scanning ophthalmoscopes with sub-millisecond total latency. Our goal here is to develop low-cost, low-complexity, and high-bandwidth retinal imaging stabilization instrumentation that can be used to upgrade both AO and non-AO ophthalmoscopes, using control algorithms that incorporate eye motion prediction, electronic and mechanical latency. Finally, we will also develop image registration software for scanning ophthalmoscopes that uses the high frame rate pupil tracking to improve accuracy and reduce failure rate, as well as automate the identification of and un-distort reference frames. The proposed technology will be applicable to all scanning ophthalmoscopes, irrespective of imaging modality.