Optimized Retinal Camera

优化的视网膜相机

• 批准号: 6583366
• 负责人: Paul W. TRUITT
• 金额: $ 43.18万
• 依托单位: KESTREL CORPORATION
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-04-01 至 2005-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6583366
• 关键词: artificial intelligence; bioengineering /biomedical engineering; bioimaging /biomedical imaging; biomedical equipment development; charge coupled device camera; clinical research; computer program /software; computer system design /evaluation; diabetic retinopathy; digital imaging; human subject; image processing; ophthalmoscopy; thermodynamics

DESCRIPTION (provided by applicant): A low-cost, high-resolution, high-contrast color digital camera optimized for ophthalmology will be demonstrated. This Optimized Retinal Camera will be specifically tested for its effectiveness in meeting the image quality requirements for the screening and assessment of pre-proliferative and proliferative diabetic retinopathy in both traditional clinical settings and in telemedicine. The proposed device exploits recent technological advances in high sensitivity charge coupled device (CCD) cameras and digital signal processing electronics. Today's CCD cameras do not have the dynamic range to image the human retina. The human retina is characterized by regions of high reflectivity (20-40 percent), such as the optic disc, and very low reflectivity (<2 percent), such as the macula and fovea. Further, these existing digital cameras treat each of the color channels in the same manner and do not consider the special, red-saturated characteristics of the retina. The approach builds on existing fundus imaging technology developed by Kestrel for the National Eye Institute. The proposed Optimized Retinal Camera will be shown to offer significant improvement over existing digital color cameras by addressing each of the deficiencies mentioned above. Joslin Diabetes Center, the University of Iowa Department of Opthalmology, and the University of New Mexico Health Sciences Center will provide independent, "masked" evaluation of the optimized digital retinal images.

描述（由申请人提供）：将展示一种低成本，高分辨率，高对比度的彩色数码摄像头，以优化用于眼科。该优化的视网膜相机将针对其在传统临床环境和远程医疗中筛查和评估筛查和评估筛查和评估的图像质量要求的有效性。提出的设备利用了高灵敏度电荷耦合器件（CCD）摄像机和数字信号处理电子的最新技术进步。当今的CCD摄像机没有动态范围来对人的视网膜进行映像。人类视网膜的特征是高反射率（20-40％）的区域，例如视盘，而反射率非常低（<2％），例如黄斑和凹fovea。此外，这些现有的数码相机以相同的方式处理每个颜色通道，并且不考虑视网膜的特殊红色饱和特征。该方法建立在Kestrel为国家眼科研究所开发的现有底面成像技术的基础上。拟议的优化视网膜相机将显示出通过解决上述每种缺陷，从而对现有数字颜色摄像机进行显着改善。乔斯林糖尿病中心，爱荷华大学的科特萨尔大学和新墨西哥大学健康科学中心将对优化的数字视网膜图像进行独立的“掩盖”评估。