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使用PanOptic iExaminer系统对眼底照片中的视网膜血管系统进行特征分析。

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

作者信息

Hu Huiling, Wei Haicheng, Xiao Mingxia, Jiang Liqiong, Wang Huijuan, Jiang Hong, Rundek Tatjana, Wang Jianhua

机构信息

Shenzhen Key Laboratory of Ophthalmology, Shenzhen Eye Hospital, Jinan University, Shenzhen, China.

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.

出版信息

Eye Vis (Lond). 2020 Sep 8;7:46. doi: 10.1186/s40662-020-00211-5. eCollection 2020.

DOI:10.1186/s40662-020-00211-5
PMID:32944589
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7487633/
Abstract

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 ( = 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 ( = 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.

摘要

背景

目的是通过对使用PanOptic iExaminer系统拍摄的眼底照片中的动静脉（A/V）比值和血管密度进行定量分析，来表征视网膜血管系统。

方法

使用配备智能手机的PanOptic检眼镜获取以视神经乳头为中心的眼底照片。对来自10名受试者的总共19只眼睛拍摄了两张眼底照片。分析视网膜血管以获得A/V比值。此外，使用深度学习U-NET提取血管树，并通过血管内像素占整个图像的百分比来处理血管密度。

结果

所有图像均成功处理以获得A/V比值和血管密度。第一次测量（0.77±0.09）和第二次测量（0.77±0.10）之间的平均A/V比值无显著差异（=0.53）。第一次测量（6.11±1.39）和第二次测量（6.12±1.40）之间的平均血管密度（%）无显著差异（=0.85）。

结论

使用PanOptic检眼镜拍摄的眼底照片中对视网膜血管系统进行定量分析是可行的。该设备似乎提供了足够的图像质量来分析A/V比值和血管密度，具有便携、易于数据传输和设备成本低的优点，可用于系统性、脑部和眼部疾病的临床前筛查。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a598/7487633/9085677e5e82/40662_2020_211_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a598/7487633/cfedac4a26ba/40662_2020_211_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a598/7487633/855b0884520b/40662_2020_211_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a598/7487633/a0260c815a65/40662_2020_211_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a598/7487633/f3ae110ebf24/40662_2020_211_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a598/7487633/1a7b4d631a07/40662_2020_211_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a598/7487633/8eefc9eeaaf8/40662_2020_211_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a598/7487633/9085677e5e82/40662_2020_211_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a598/7487633/cfedac4a26ba/40662_2020_211_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a598/7487633/855b0884520b/40662_2020_211_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a598/7487633/a0260c815a65/40662_2020_211_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a598/7487633/f3ae110ebf24/40662_2020_211_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a598/7487633/1a7b4d631a07/40662_2020_211_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a598/7487633/8eefc9eeaaf8/40662_2020_211_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a598/7487633/9085677e5e82/40662_2020_211_Fig7_HTML.jpg

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