Chen Min, Gee James C, Morgan Jessica I W, Aguirre Geoffrey K
Department of Radiology, University of Pennsylvania, Philadelphia PA 19104, USA.
Scheie Eye Institute, Department of Ophthalmology, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Ophthalmic Med Image Anal (2019). 2019 Oct;11855:69-76. doi: 10.1007/978-3-030-32956-3_9. Epub 2019 Oct 8.
The fovea is an important structure that allows for the high acuity at the center of our visual system. While the fovea has been well studied, the role of the foveal pit in the human retina is still largely unknown. In this study we analyze the shape morphology of the foveal pit using a statistical shape model to find the principal shape variations in a cohort of 50 healthy subjects. Our analysis includes the use of scan geometry correction to reduce the error from inherent distortions in OCT images, and a method for aligning foveal pit surfaces to remove translational and rotational variability between the subjects. Our results show that foveal pit morphology can be represented using less than five principal modes of variation. And we find that the shape variations discovered through our analysis are closely related to the main metrics (depth and diameter) used to study the foveal pit in current literature. Lastly, we evaluated the relationship between the first principal mode of variation in the cohort and the axial length from each subject. Our findings showed a modest inverse relationship between axial length and foveal pit depth that can be confirmed independently by existing studies.
中央凹是一个重要结构，它使我们视觉系统中心具有高敏锐度。虽然中央凹已得到充分研究，但中央凹小窝在人类视网膜中的作用仍很大程度上未知。在本研究中，我们使用统计形状模型分析中央凹小窝的形状形态，以找出50名健康受试者群体中的主要形状变化。我们的分析包括使用扫描几何校正来减少光学相干断层扫描（OCT）图像中固有畸变产生的误差，以及一种用于对齐中央凹小窝表面以消除受试者之间平移和旋转变异性的方法。我们的结果表明，中央凹小窝形态可以用少于五种主要变化模式来表示。并且我们发现，通过我们的分析发现的形状变化与当前文献中用于研究中央凹小窝的主要指标（深度和直径）密切相关。最后，我们评估了该群体中第一主要变化模式与每个受试者眼轴长度之间的关系。我们的研究结果显示，眼轴长度与中央凹小窝深度之间存在适度的负相关关系，现有研究可独立证实这一点。
