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 conference proceedings
    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
    • General Computer Science

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