Characterization of the retinal vasculature in fundus photos using the PanOptic iExaminer system  

作　　者：Huiling Hu Haicheng Wei Mingxia Xiao Liqiong Jiang Huijuan Wang Hong Jiang Tatjana Rundek Jianhua Wang 

机构地区：[1]Shenzhen Key Laboratory of Ophthalmology,Shenzhen Eye Hospital,Jinan University,Shenzhen,China [2]Department of Ophthalmology,Bascom Palmer Eye Institute,University of Miami Miller School of Medicine,1638 NW 10th Avenue,McKnight Building-Room 202A,Miami,FL 33136,USA [3]Department of Electrical and Computer Engineering,Florida International University,Miami,FL,USA [4]School of Electrical and Information Engineering,North Minzu University,Yinchuan,Ningxia,China [5]Eye hospital,China Academy of Chinese Medical Sciences,Beijing,China [6]Department of Neurology,University of Miami Miller School of Medicine,Miami,FL,USA

出　　处：《Eye and Vision》2020年第1期444-453,共10页眼视光学杂志（英文）

基　　金：The work has been supported by NIH Center Grant P30 EY014801,NINDS 1R01NS111115–01(Wang);the Ed and Ethel Moor Alzheimer’s Disease Research Program(Florida Health,20A05,to Jiang);a grant from Research to Prevent Blindness(RPB);Visiting scholar activities(Haicheng Wei and Mingxia Xiao)were supported by the North Minzu University Scientific Research Projects(Major projects No.2019KJ37 and 2018XYZDX11);National Natural Science Foundation of China(No.61861001);Natural Science Foundation of Ningxia(No.2020AAC03220).

摘　　要：Background:The goal was to characterize retinal vasculature by quantitative analysis of arteriole-to-venule(A/V)ratio and vessel density in fundus photos taken with the PanOptic iExaminer System.Methods:The PanOptic ophthalmoscope equipped with a smartphone was used to acquire fundus photos centered on the optic nerve head.Two fundus photos of a total of 19 eyes from 10 subjects were imaged.Retinal vessels were analyzed to obtain the A/V ratio.In addition,the vessel tree was extracted using deep learning U-NET,and vessel density was processed by the percentage of pixels within vessels over the entire image.Results:All images were successfully processed for the A/V ratio and vessel density.There was no significant difference of averaged A/V ratio between the first(0.77±0.09)and second(0.77±0.10)measurements(P=0.53).There was no significant difference of averaged vessel density(%)between the first(6.11±1.39)and second(6.12±1.40)measurements(P=0.85).Conclusions:Quantitative analysis of the retinal vasculature was feasible in fundus photos taken using the PanOptic ophthalmoscope.The device appears to provide sufficient image quality for analyzing A/V ratio and vessel density with the benefit of portability,easy data transferring,and low cost of the device,which could be used for pre-clinical screening of systemic,cerebral and ocular diseases.

关 键 词：Smartphone ophthalmoscope Image analysis Deep learning Arteriovenous ratio Vessel density RETINA 

分 类 号：R774.1[医药卫生—眼科]