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

Authors
  • Hu, Huiling1, 2
  • Wei, Haicheng3, 4
  • Xiao, Mingxia3, 4
  • Jiang, Liqiong1
  • Wang, Huijuan2, 5
  • Jiang, Hong2, 6
  • Rundek, Tatjana6
  • Wang, Jianhua2
  • 1 Jinan University, Shenzhen, China , Shenzhen (China)
  • 2 University of Miami Miller School of Medicine, 1638 NW 10th Avenue, McKnight Building - Room 202A, Miami, FL, 33136, USA , Miami (United States)
  • 3 Florida International University, Miami, FL, USA , Miami (United States)
  • 4 North Minzu University, Yinchuan, Ningxia, China , Yinchuan (China)
  • 5 China Academy of Chinese Medical Sciences, Beijing, China , Beijing (China)
  • 6 University of Miami Miller School of Medicine, Miami, FL, USA , Miami (United States)
Type
Published Article
Journal
Eye and Vision
Publisher
BioMed Central
Publication Date
Sep 08, 2020
Volume
7
Issue
1
Identifiers
DOI: 10.1186/s40662-020-00211-5
Source
Springer Nature
Keywords
License
Green

Abstract

BackgroundThe 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.MethodsThe 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.ResultsAll 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).ConclusionsQuantitative 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.

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