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 E. Farrah, Neeraj Dhaun, Baljean Dhillon, Tom MacGillivray, Miguel O. Bernabeu

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

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
Subtitle of host publication7th International Workshop, OMIA 2020, Held in Conjunction with MICCAI 2020, Proceedings
EditorsHuazhu Fu, Mona K. Garvin, Tom MacGillivray, Yanwu Xu, Yalin Zheng
Place of PublicationCham
PublisherSpringer
Pages155-164
Number of pages10
ISBN (Electronic)978-3-030-63419-3
ISBN (Print)978-3-030-63418-6
DOIs
Publication statusPublished - 2020
Publication typeA4 Article in a conference publication
EventInternational Workshop on Ophthalmic Medical Image Analysis - Lima, Peru
Duration: 8 Oct 20208 Oct 2020
Conference number: 7th

Publication series

NameLecture Notes in Computer Science
Volume12069
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Workshop on Ophthalmic Medical Image Analysis
Abbreviated titleOMIA
Country/TerritoryPeru
CityLima
Period8/10/208/10/20

Keywords

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

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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