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 language | English |
|---|---|
| Article number | 22814 |
| Number of pages | 8 |
| Journal | Scientific Reports |
| Volume | 11 |
| DOIs | |
| Publication status | Published - 24 Nov 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Image processing
- Predictive markers
- Retinal disease
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