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

低成本、便携式、计算机辅助糖尿病成像*

• 批准号: 7020944
• 负责人: Michael David Abramoff
• 金额: $ 36.88万
• 依托单位: UNIVERSITY OF IOWA
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-15 至 2009-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7020944
• 关键词: bioimaging /biomedical imaging; clinical research; computer assisted diagnosis; cost effectiveness; diabetic retinopathy; diagnosis design /evaluation; eye fundus photography; human subject; mathematics; metabolism disorder diagnosis; noninvasive diagnosis; portable biomedical equipment; technology /technique development

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.

描述（由申请人提供）：我们基于双波长扫描激光技术开发了一种便携式，低成本，患者友好的视网膜成像设备Delft Retinascan。它不需要药理学瞳孔扩张或闪光照明，该设备的原型成本小于1100美元。我们已经利用它在高空间分辨率下以正常受试者的形式获取视网膜图像，典型的采集时间为0.1s。我们和其他人表明，使用数码相机和互联网连接性的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由用标准的市售底面摄像头制成的两场非现场非现场非现场颜色底面照片的糖尿病性视网膜病，并与视网膜专家一致。可能，可以将这些技术合并为低成本，高质量，患者友好的早期诊断系统，以实现糖尿病性视网膜病。 但是，在这种低成本摄像头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。 我们的具体目的是： 1。在技术上验证低成本的代尔夫特视网膜摄像机系统，用于糖尿病性视网膜病的非侵入性成像； 2。通过与威斯康星州阅读中心（WRC）合作评估和验证代尔夫特·瑞迪纳斯加的临床实用性。 WRC将负责阅读和评估与Retinascan获取的图像，并将其与ETDRS标准7场立体声底底照片进行比较； 3。并评估在使用代尔夫特·瑞迪纳斯加（Delft Retinascan）获得的图像上添加计算机辅助诊断算法的性能的改善。 我们组建了一个团队，代表互联网上的糖尿病性视网膜病变筛查专业知识，光学工程，视网膜成像，安全的在线医学图像服务器，图像分析和流行病学，由研究的面向研究的眼科医生，物理学家，物理学家，计算机工程师和生物统计学家组成，他们已将其调整为临床技术，以将上述技术进行翻译成临床的系统。 我们的总体目的是验证和优化糖尿病性视网膜病早期诊断的低成本，高质量，友好的成像系统。