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2D alpha-shapes to quantify retinal microvasculature morphology and their application to proliferative diabetic retinopathy characterisation in fundus photographs

  • Emma Pead (Lead / Corresponding author)
  • , Ylenia Giarratano
  • , Andrew J. Tatham
  • , Miguel O. Bernabeu
  • , Baljean Dhillon
  • , Emanuele Trucco
  • , Tom MacGillivray

Research output: Contribution to journalArticlepeer-review

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Abstract

The use of 2D alpha-shapes (α-shapes) to quantify morphological features of the retinal microvasculature could lead to imaging biomarkers for proliferative diabetic retinopathy (PDR). We tested our approach using the MESSIDOR dataset that consists of colour fundus photographs from 547 healthy individuals, 149 with mild diabetic retinopathy (DR), 239 with moderate DR, 199 pre-PDR and 53 PDR. The skeleton (centrelines) of the automatically segmented retinal vasculature was represented as an α-shape and the proposed parameters, complexity (Opα min), spread (OpA), global shape (VS) and presence of abnormal angiogenesis (Grad α) were computed. In cross-sectional analysis, individuals with PDR had a lower Opα min, OpA and Grad α indicating a vasculature that is more complex, less spread (i.e. dense) and the presence of numerous small vessels. The results show that α-shape parameters characterise vascular abnormalities predictive of PDR (AUC 0.73; 95% CI [0.73 0.74]) and have therefore potential to reveal changes in retinal microvascular morphology.

Original languageEnglish
Article number22814
Number of pages8
JournalScientific Reports
Volume11
DOIs
Publication statusPublished - 24 Nov 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Image processing
  • Predictive markers
  • Retinal disease

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