Mobile App for Diabetic Retinopathy Screening using Cellphone Retinal Camera

描述(申请人提供)：在这个SBIR项目中，我们介绍了EyeApp，这是一款基于智能手机的端到端护理点糖尿病视网膜病变诊断设备，包括一个可连接智能手机的视网膜成像摄像头和经过验证的软件应用程序，可以实现糖尿病视网膜病变(DR)的全自动筛查。DR是当今工业化世界劳动年龄成年人新发失明的主要原因。研究表明，在90%的病例中，如果在早期阶段诊断出DR，视力损失是可以预防的。推荐的年度筛查有望显著改善糖尿病患者的预后，但即使在发达国家，由于几个限制因素，大多数糖尿病患者也没有定期进行年度筛查。更糟糕的是，目前筛查所有糖尿病患者以发现早期DR患者的成本非常高，因为：(A)大多数患者将进行正常检查(从而导致专家时间的低效利用)，(B)视网膜成像设备非常昂贵，以及 (C)受过培训的技术人员必须操作成像设备。在这个项目中，我们通过使用手机视网膜相机附件来解决这些关键限制，OculCellScope是由加州大学洛杉矶分校/加州大学旧金山分校的我们的合作者开发的，它只需连接到iPhone上，不需要训练有素的技术人员来操作，将获得广域图像，并且成本将比目前的桌面视网膜成像相机低几个数量级。糖尿病患者可以将摄像头连接到他们的智能手机上，并在一些帮助(未经培训的朋友、配偶或护士)的帮助下，使用同一手机上的应用程序获取每只眼睛的视网膜视频。这款应用程序引导图像捕捉，以确保获得最高质量的画面，并确保眼睛的所有区域都进行了成像，从而实现了广域成像。EyeApp经过验证的算法会输出近乎即时的DR筛查推荐分数。EyeApp被认为是Eyenuk(计算机化DR筛查)和UCB/UCSF(智能手机视网膜摄像头)三年多研究和开发的成果，该公司已经生产了关键技术模块的功能原型。这个第一阶段的项目专注于通过几个新的想法无缝集成这些经过验证的模块(相机硬件和诊断软件)。

DESCRIPTION (provided by applicant): In this SBIR project, we present EyeApp, a smartphone-based end-to-end point-of- care diabetic retinopathy diagnostic device comprising of a smartphone-attachable retinal imaging camera and validated software application enabling fully-automated screening of diabetic retinopathy (DR). DR is the leading cause of new-onset blindness in working-age adults in the industrialized world today. Studies show that in 90% of the cases vision loss can be prevented if DR is diagnosed at an early stage. Recommended annual screening is expected to significantly improve outcome for diabetic patients, but even in the developed world, majority of the diabetics do not regularly have the annual screening due to several limiting factors. To make things worse, the current cost of screening all diabetics to detect those with early DR is very high because: (a) most patients will have normal exams (thus, causing inefficient use of specialist's time), (b) retinal imaging equipment is very expensive, and (c) trained technicians must operate the imaging equipment. In this project we address these critical limitations by employing cellphone retinal camera attachment, the Ocular CellScope, developed by our collaborators at UCB/UCSF, which simply attaches to an iPhone, doesn't need a trained technician to operate, will obtain wide-field images, and will cost several orders of mag- nitude less than the current tabletop retinal imaging cameras. Diabetic patients can attach the camera to their smartphones and with some assistance (untrained friend, spouse, or nurse) obtain retinal video for each eye using an app residing on the same phone. This app guides the image capture to ensure that best quality frames are obtained, and also ensure all areas of the eye are imaged enabling wide-field imaging. EyeApp's validated algorithms output a near-instant DR screening recommendation score. EyeApp is con- ceptualized as a culmination of over three years of research and development at Eyenuk (on computerized DR screening) and at UCB/UCSF (on smartphone retinal camera) that has already produced functional prototypes of critical technology modules. This phase I project focusses on seamless integration of these proven modules (the camera hardware and the diagnostic software) via several novel ideas.