Analysis of retinal vascular biomarkers for early detection of diabetes

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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.
Original languageEnglish
Title of host publicationViPIMAGE 2017
Subtitle of host publicationProceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017
EditorsJ.M.R.S. Tavares, R.M. Natal Jorge
Place of PublicationCham
PublisherSpringer
Pages811-817
Number of pages7
ISBN (Electronic)978-3-319-68195-5
ISBN (Print)978-3-319-68194-8
DOIs
Publication statusPublished - 1 Jan 2018
Event6th ECCOMAS European Congress on Computational Methods in Applied Sciences and Engineering, October 18-20 2017, Porto, Portugal - Porto, Portugal
Duration: 18 Oct 201720 Oct 2017
https://paginas.fe.up.pt/~vipimage/

Publication series

NameLecture Notes in Computational Vision and Biomechanics
PublisherSpringer
Volume27

Conference

Conference6th ECCOMAS European Congress on Computational Methods in Applied Sciences and Engineering, October 18-20 2017, Porto, Portugal
Abbreviated titleECCOMAS2017
CountryPortugal
CityPorto
Period18/10/1720/10/17
Internet address

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Keywords

  • Computer-aided diagnosis
  • Diabetes mellitus
  • Retinal image analysis
  • Vessel biomarkers

Cite this

Zhang, J., Dashtbozorg, B., Huang, F., Berendschot, T. T. J. M., & ter Haar Romeny, B. M. (2018). Analysis of retinal vascular biomarkers for early detection of diabetes. In J. M. R. S. Tavares, & R. M. Natal Jorge (Eds.), ViPIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017 (pp. 811-817). (Lecture Notes in Computational Vision and Biomechanics; Vol. 27). Cham: Springer. https://doi.org/10.1007/978-3-319-68195-5_88