Improving rigor and reproducibility in adaptive optics ophthalmoscopy

项目摘要 自适应光学（AO）检眼镜检查允许通过以下方式对显微视网膜结构进行非侵入性可视化： - 校正每只眼睛所特有的光学模糊，潜在地能够改善理解， 眼科疾病的管理。然而，缺乏标准化阻碍了这项技术的采用， 多中心研究是测试新疗法的黄金标准。这个项目的首要目标是 该项目旨在提高AO检眼镜检查的严格性和可重复性，以便通过以下方式发挥其潜力 三个具体目标： 目标1.开发、构建和分发校准模型眼，以实现图像的精确补偿 由AO检眼镜的光学器件引起的失真和缩放误差。这些眼睛模型将被设计成 可由其他人再现，并具有与普通人眼相似的光学特性。 目标二。开发成像协议和算法，使用全眼光学生物测量， 补偿由每只眼睛的独特光学系统引起的图像失真和缩放误差。 目标3：为了收集无眼病受试者的光感受器镶嵌图像的开放规范数据集， 用它来检验两个假设第一，视杆细胞光感受器以每年约1%的速度老化， 视网膜的中心部分，在各种主要致盲条件下受到影响，如与年龄相关的黄斑 退化第二，视杆细胞间距随着细胞损失而增加，抵消了密度的下降， 因此可用于检测疾病的早期迹象。图像缩放和失真校正方法 目标1和目标2中的测试将提高我们进行这些测试的能力。 该项目的可交付成果将纳入AO视网膜成像社区的反馈和测试。 在该项目结束时，AO检眼镜的用户将收到软件和校准的模型眼， 精确的图像缩放和校正失真，以及最真实的解剖学和准确的缩放 光感受器标准数据集。建议的做法将促进视网膜成像的发展 生物标志物，改善早期诊断和眼科疾病的管理，以及新疗法的测试。

PROJECT SUMMARY Adaptive optics (AO) ophthalmoscopy allows non-invasive visualization of microscopic retinal structures by correcting the optical blur that is unique to each eye, potentially enabling improving the understanding and management of eye disease. Lack of standardization, however, has hindered the adoption of this technology in the multi-center studies that are the gold standard for testing novel treatments. The overarching goal of this project is to improve rigor and reproducibility in AO ophthalmoscopy, in order to materialize its potential through three specific aims: Aim 1. To develop, build and distribute calibrated model eyes that allow precise compensation of image distortions and scaling errors caused by the optics of AO ophthalmoscopes. These model eyes will be designed to be reproducible by others and have similar optical properties to those of an average human eye. Aim 2. To develop imaging protocols and algorithms that use whole-eye optical biometry to allow precise compensation of image distortions and scaling errors caused by the unique optics of each eye. Aim 3. To collect an open normative dataset of photoreceptor mosaic images in subjects free of eye disease, and to use it to test two hypotheses. First, that rod photoreceptors are lost to aging at a rate of ~1% per year in the central portion of the retina that is affected in various leading blinding conditions, such as age-related macular degeneration. Second, that rod photoreceptor spacing increases with cell loss, offsetting the decline in density, and thus can be used for detecting early signs of disease. The image scaling and distortion correction methods from Aims 1 & 2 will improve our ability to perform these tests. The deliverables of this project will incorporate feedback and testing by the AO retinal imaging community. At this project’s conclusion, users of AO ophthalmoscopes will receive software and calibrated model eyes for precise image scaling and correction distortion, as well as the most anatomically truthful and accurately scaled photoreceptor normative dataset. The proposed practices will facilitate the development of retinal imaging biomarkers that improve early diagnosis and management of eye disease, as well as testing of novel therapies.