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Analysis of Retinal Vascular Biomarkers for Early Detection of Diabetes

  • Jiong ZhangEmail author
  • Behdad Dashtbozorg
  • Fan Huang
  • Tos T. J. M. Berendschot
  • Bart M. ter Haar Romeny
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 27)

Abstract

This paper presents an automated retinal vessel analysis system for the measurement and statistical analysis of vascular biomarkers. The proposed retinal vessel enhancement, segmentation, optic disc and fovea detection algorithms provide fundamental tools for extracting the vascular network within the predefined region of interest (ROI). Based on that, the artery/vein classification, vessel caliber, curvature and fractal dimension measurement tools are used to assess the quantitative vascular biomarkers: width, tortuosity, and fractal dimension. A statistical analysis on the extracted geometric biomarkers is set up using a dataset provided by the Maastricht study with the aim of exploring the associations between different vessel biomarkers and type 2 diabetes mellitus. A linear regression analysis is used to model the relationships between different factors. The results indicate that the vascular biomarker variables have associations with diabetes. These findings demonstrate the possibility of applying the proposed pipeline tools on further analysis of vessel biomarkers for the computer-aided diagnosis.

Keywords

Retinal image analysis Vessel biomarkers Computer-aided diagnosis Diabetes mellitus 

Notes

Acknowledgements

This work is part of the NWO-Hé Programme of Innovation Cooperation No. 629.001.003 and the European Foundation for the Study of Diabetes/Chinese Diabetes Society/Lilly project.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Jiong Zhang
    • 1
    Email author
  • Behdad Dashtbozorg
    • 1
  • Fan Huang
    • 1
  • Tos T. J. M. Berendschot
    • 2
  • Bart M. ter Haar Romeny
    • 1
    • 3
  1. 1.Department of Biomedical EngineeringEindhoven University of TechnologyEindhovenThe Netherlands
  2. 2.University Eye Clinic MaastrichtMaastrichtThe Netherlands
  3. 3.Department of Biomedical and Information EngineeringNortheastern UniversityShenyangChina

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