Low-cost, portable, computer assisted imaging for diabe*

描述（由申请人提供）：我们开发了一种便携式、低成本、患者友好型视网膜成像设备，即基于双波长扫描激光技术的德尔夫特Retinascan。它不需要药物瞳孔扩张或闪光照明，该设备的原型成本低于1100美元。我们已经利用它来获取视网膜图像在正常受试者在高空间分辨率与典型的采集时间为0.1秒。我们和其他人已经证明，使用数码相机和互联网连接进行大规模早期诊断是安全有效的。我们还表明，计算机辅助诊断算法可以评估糖尿病视网膜病变，从两个领域的非立体彩色眼底照片与标准的市售眼底相机，与视网膜专家的高度一致。潜在地，这些技术可以组合用于低成本、高质量、患者友好的糖尿病视网膜病变的早期诊断系统。 然而，在这种低成本的相机和数字诊断系统可以在临床上实施之前，需要进行临床验证。 我们的具体目标是： 1.对用于糖尿病视网膜病变非侵入性成像的低成本德尔夫特Retinascan相机系统进行技术验证; 2.通过与威斯康星州阅读中心（WRC）合作，评估和验证德尔夫特视网膜扫描的临床效用。WRC将负责阅读和评估使用Retinascan采集的图像，并将其与ETDRS标准7视野立体眼底照片进行比较; 3.并评价在使用德尔夫特Retinascan采集的图像上添加计算机辅助诊断算法的性能改进。 我们已经组建了一个团队，代表了互联网上糖尿病视网膜病变筛查，光学工程，视网膜成像，安全在线医学图像服务器，图像分析和流行病学的专业知识，由研究导向的眼科医生，物理学家，计算机工程师和生物统计学家组成，并准备将上述技术转化为临床实用系统。 我们的总体目标是验证和优化低成本，高质量，患者友好的成像系统，用于糖尿病视网膜病变的早期诊断。

DESCRIPTION (provided by applicant): We have developed a portable, low-cost, patient-friendly, retinal imaging device, the Delft Retinascan, based on dual wavelength scanning laser technology. It does not require pharmacologic pupil dilation or flash illumination, and the prototype costs of the device were less than $1100. We have utilized it to acquire retinal images in normal subjects at high spatial resolution with a typical acquisition time of 0.1s. We and others have shown that large scale early diagnosis using digital cameras and internet connectivity is safe and effective. We have also shown that computer assisted diagnostic algorithms can assess diabetic retinopathy from two-field non-stereo color fundus photographs made with standard commercially available fundus cameras, with a high degree of agreement with retinal specialists. Potentially, these techniques can be combined for a low-cost, high quality, patient friendly, early diagnosis system for diabetic retinopathy. However, clinical validation is required before this low-cost camera and digital diagnostic system can be implemented clinically. Our specific aims are: 1. to technically validate the low-cost Delft Retinascan camera system for non-invasive imaging of diabetic retinopathy; 2. to assess and validate the clinical utility of the Delft Retinascan by collaborating with the Wisconsin Reading Center (WRC). The WRC will be responsible for reading and assessing images acquired with the Retinascan and compare them with ETDRS standard 7-field stereo fundus photographs; 3. and to evaluate the improvement in performance of the addition of computer assisted diagnostic algorithms on the images acquired with the Delft Retinascan. We have assembled a team representing expertise in diabetic retinopathy screening over the internet, optical engineering, retinal imaging, secure online medical image servers, image analysis, and epidemiology, consisting of research oriented ophthalmologists, physicists, computer engineers, and biostatisticians, and who are poised to translate the above techniques into a clinically practical system. Our overall aim is to validate and optimize a low-cost, high quality, patient friendly imaging system for the early diagnosis of diabetic retinopathy.