Improving rigor and reproducibility in adaptive optics ophthalmoscopy

提高自适应光学检眼镜的严谨性和可重复性

• 批准号: 10225630
• 负责人: Alfredo Dubra
• 金额: $ 55.04万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10225630
• 关键词: Address; Adopted; Adoption; Adult; Affect; Age related macular degeneration; Age-Years; Aging; Algorithms; Anatomy; Area; Biological Markers; Biometry; Blindness; Caliber; Calibration; Cells; Communities; Computer software; Cross-Sectional Studies; Crystalline Lens; Custom; Data; Data Set; Development; Disease; Disease Progression; Early Diagnosis; Evidence Based Medicine; Eye; Eye diseases; Feedback; Financial compensation; Floor; Generations; Genetic; Goals; Gold; Health; Histologic; Human; Image; Individual; Institution; Length; Letters; Light; Location; Manuals; Manufacturer Name; Maps; Measurement; Mechanics; Methods; Microscopic; Modeling; Monitor; Mosaicism; Motion; Multicenter Studies; Nodal; Ophthalmoscopes; Ophthalmoscopy; Optical Coherence Tomography; Optics; Photoreceptors; Population; Process; Property; Protocols documentation; Refractive Indices; Reproducibility; Research; Resolution; Retina; Scanning; Sensitivity and Specificity; Site; Standardization; Structure; Technology; Test Result; Testing; Validation; Variant; Visualization; Work; adaptive optics; base; cohort; density; design; follow-up; genetic testing; image processing; image registration; imaging biomarker; imaging modality; improved; in vivo imaging; novel; novel marker; novel therapeutics; operation; prototype; recruit; research clinical testing; retinal imaging; retinal rods; sample fixation; theories; tool; usability

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.

项目摘要 自适应光学（AO）眼镜检查允许通过微观视网膜结构可视化微观的视网膜结构 纠正每只眼睛独有的光学模糊，有可能改善理解和 眼病的管理。然而，缺乏标准化阻碍了这种技术的采用 多中心研究是测试新治疗的黄金标准。总体目标 项目是为了提高AO眼镜检查的严格性和可重复性，以通过 三个具体目标： 目标1。开发，建立和分发易于精确补偿图像的校准模型眼睛 由AO眼镜的光学造成的扭曲和缩放误差。这些模型的眼睛将被设计 其他人可以重现，并且具有与平均人眼的光学特性相似。 目标2。开发使用全眼光生物图的成像协议和算法以允许精确 由每只眼睛的独特光学元件引起的图像扭曲和缩放误差的补偿。 目的3。收集无眼病的受试者中光感受器镶嵌图像的开放正常数据集， 并使用它来检验两个假设。首先，该杆光感受器以每年约1％的速度损失 视网膜的中央部分在各种领先的盲目条件下受到影响，例如与年龄相关的黄斑 退化。其次，该杆感光器间距随细胞损失而增加，从而抵消了密度下降， 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 从目标1和2中，将提高我们执行这些测试的能力。 该项目的可交付成果将结合AO视网膜成像社区的反馈和测试。 根据该项目的结论，AO Ophthalmoscopes的用户将获得软件和校准模型眼睛的眼睛 精确图像缩放和校正扭曲，以及最完善的最真实和准确的缩放 光感受器正常数据集。拟议的实践将有助于视网膜成像的发展 改善眼睛疾病的早期诊断和治疗的生物标志物以及对新疗法的测试。