Fully-Automated Lesion Characterization in Ultrawide-Field Retinal Images

摘要 在这项拨款申请中，我们建议开发EyeReadUWF，这是一个全自动工具，用于 超宽视野扫描激光眼底镜(UWF SLO)图像中的病变特征。在……里面 近年来，非散瞳UWF SLO成像已被证明是一种有前途的替代 常规数字彩色眼底成像对糖尿病眼病分级的优势 包括130°-200°视野，在一张图像中显示80%以上的视网膜，没有 需要多个场、多个闪光灯或在场采集之间重新聚焦，能够 穿透像白内障这样的媒体不透明，以及较低的不可分级图像比率。UWF SLO图像 特别适合于检测主要是周围性病变(PPL)，这些病变已经 与糖尿病视网膜病变(DR)进展的高风险相关。准确地量化 PPL的存在和范围只能通过一个强大的自动化工具来完成，该工具特别是 专为UWF SLO模式的伪彩色图像而设计。 EyeReadUWF将自动表征伪彩色UWF图像中的病变，同时 处理睫毛/眼皮中可能的伪影，并确定病变在 UWF图像的外围和中心区域。准确量化存在的能力 以及UWF SLO图像中以外围为主的病变的范围可以使临床医生 制定更精确的DR评分方案。这将有助于识别有较高风险的患者。 DR进展和PDR的发病，对糖尿病患者的管理有积极影响，以及 协助药物发现研究。

Abstract In this grant application we propose to develop, EyeReadUWF, a fully automated tool for lesion characterization in ultra-widefield scanning laser ophthalmoscopy (UWF SLO) images. In recent times non mydriatic UWF SLO imaging has been shown to be a promising alternative to conventional digital color fundus imaging for grading of diabetic eye diseases, with advantages including 130°-200° field-of-view showing more than 80% of the retina in a single image, no need for multiple fields, multiple flashes, or refocusing between field acquisitions, ability to penetrate media opacities like cataract, and lower rate of ungradable images. UWF SLO images are particularly suitable for detecting predominantly peripheral lesions (PPLs), which have been associated with higher risk of diabetic retinopathy (DR) progression. Accurate quantification of presence and extent of PPLs can only be done by a robust automated tool that is specifically designed for the pseudo-colored images of UWF SLO modality. EyeReadUWF will automatically characterize lesions in pseudo colored UWF images while handling possible artifacts from eyelashes/eyelids and determine the lesion predominance in peripheral and central regions of UWF image. The ability to accurately quantify the presence and extent of predominantly peripheral lesions in UWF SLO images can enable clinicians to develop a more precise DR scoring scheme. This would help identify patients with higher risk of DR progression and onset of PDR, have a positive impact on diabetic patient management, and aid drug discovery research.