A framework for the discovery of retinal biomarkers in Optical Coherence Tomography Angiography (OCTA)

Ylenia Giarratano, Alisa Pavel, Jie Lian, Rayna Andreeva, Alessandro Fontanella, Rik Sarkar, Laura J. Reid, Shareen Forbes, Dan Pugh, Tariq Farrah, Neeraj Dhaun, Baljean Dhillon, Tom MacGillivray, Miguel O. Bernabeu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Recent studies have demonstrated the potential of OCTA retinal imaging for the discovery of biomarkers of vascular disease of the eye and other organs. Furthermore, advances in deep learning have made it possible to train algorithms for the automated detection of such biomarkers. However, two key limitations of this approach are the need for large numbers of labeled images to train the algorithms, which are often not met by the typical single-centre prospective studies in the literature, and the lack of interpretability of the features learned during training. In the current study, we developed a network analysis framework to characterise retinal vasculature where geometric and topological information are exploited to increase the performance of classifiers trained on tens of OCTA images. We demonstrate our approach in two different diseases with a retinal vascular footprint: diabetic retinopathy (DR) and chronic kidney disease (CKD). Our approach enables the discovery of previously unreported retinal vascular morphological differences in DR and CKD, and demonstrate the potential of OCTA for automated disease assessment.
Original languageEnglish
Title of host publicationOphthalmic Medical Image Analysis (OMIA 2020)
EditorsHuazhu Fu, Mona K. Garvin, Tom MacGillivray, Yanwu Xu, Yalin Zheng
PublisherSpringer, Cham
Number of pages10
ISBN (Electronic)978-3-030-63419-3
ISBN (Print)978-3-030-63418-6
Publication statusPublished - 20 Nov 2020
Event7th MICCAI Workshop on Ophthalmic Medical Image Analysis - Lima, Peru
Duration: 8 Oct 20208 Oct 2020

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Workshop7th MICCAI Workshop on Ophthalmic Medical Image Analysis
Abbreviated titleOMIA7
Internet address

Keywords / Materials (for Non-textual outputs)

  • Optical coherence tomography angiography
  • Vascular network
  • Graph analysis
  • Retinal biomarkers


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