With its sequential image acquisition, OCT-based corneal topography is often susceptible to measurement errors due to eye motion. We have developed a novel algorithm to detect eye motion and minimize its impact on OCT topography maps. We applied the eye motion correction algorithm to corneal topographic scans acquired using a 70 kHz spectral-domain OCT device. OCT corneal topographic measurements were compared to those from a rotating Scheimpflug camera topographer. The motion correction algorithm provided a 2-4 fold improvement in the repeatability of OCT topography and its agreement with the standard Scheimpflug topographer. The repeatability of OCT Zernike-based corneal mean power, cardinal astigmatism, and oblique astigmatism after motion detection was 0.14 D, 0.28 D, and 0.24 D, respectively. The average differences between the two devices were 0.19 D for simulated keratometry-based corneal mean power, 0.23 D for cardinal astigmatism, and 0.25 D for oblique astigmatism. Our eye motion detection method can be applied to any OCT device, and it therefore represents a powerful tool for improving OCT topography.

中文翻译：

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基于OCT的角膜地形图的眼动校正算法

凭借其连续图像采集，基于 OCT 的角膜地形图通常易受眼球运动引起的测量误差的影响。我们开发了一种新颖的算法来检测眼睛运动并将其对 OCT 地形图的影响降至最低。我们将眼球运动校正算法应用于使用 70 kHz 谱域 OCT 设备获取的角膜地形扫描。将 OCT 角膜地形测量与旋转 Scheimpflug 相机地形测量仪的测量结果进行比较。运动校正算法使 OCT 地形的可重复性及其与标准 Scheimpflug 地形仪的一致性提高了 2-4 倍。运动检测后基于 OCT Zernike 的角膜平均屈光度、基本散光和斜散光的可重复性分别为 0.14 D、0.28 D 和 0.24 D。两种设备之间的平均差异对于基于模拟角膜曲率测量的角膜平均度数为 0.19 D，对于基本散光为 0.23 D，对于斜散光为 0.25 D。我们的眼球运动检测方法可以应用于任何 OCT 设备，因此它是改善 OCT 地形的强大工具。