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

Emma Pead*, Ylenia Giarratano, Andrew Tatham, Miguel O. Bernabeu, Baljean Dhillon, Emanuele Trucco, Tom MacGillivray

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

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 (Opαmin), spread (OpA),
global shape (VS) and presence of abnormal angiogenesis (Gradα) were computed. In cross-sectional
analysis, individuals with PDR had a lower Opαmin, OpA and Gradα 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 (2021)
JournalScientific Reports
Volume11
DOIs
Publication statusPublished - 24 Nov 2021

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