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Automated quantification of retinal vessel morphometry in the UK biobank cohort

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

on behalf of the UK Biobank Eye and Vision Consortium

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Image Processing Theory, Tools and Applications, IPTA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538618417
DOIs
Publication statusPublished - 8 Mar 2018
Event7th International Conference on Image Processing Theory, Tools and Applications, IPTA 2017 - Montreal, Canada
Duration: 28 Nov 20171 Dec 2017

Publication series

NameProceedings of the 7th International Conference on Image Processing Theory, Tools and Applications, IPTA 2017
Volume2018-January

Conference

Conference7th International Conference on Image Processing Theory, Tools and Applications, IPTA 2017
CountryCanada
CityMontreal
Period28/11/20171/12/2017

King's Authors

Abstract

The morphometric characteristics of the retinal vascular network have been associated with risk markers of many systemic and vascular diseases. However, analysis of data from large population based studies is needed to help resolve uncertainties in these associations. QUARTZ (QUantitative Analysis of Retinal vessel Topology and siZe) is a fully automated retinal image analysis system that has been designed to process large numbers of retinal images and obtains quantitative measures of vessel morphology to be used in epidemiological studies. QUARTZ has been used to process retinal images from UK Biobank which is a large population-based cohort study. In this paper, we address issues of robustness with respect to processing large datasets and validate QUARTZ using a subset of 4,692 UK Biobank retinal images. Ground truth data produced by human observers for validation have been made available online. Following validation, 135,867 retinal images (68,549 participants) from the UK Biobank study were processed by QUARTZ. 71.53% of these images were classified as being of adequate quality, which equated to 80.90% participants with at least one image of adequate quality. The vessel morphometric data are currently being used in epidemiological studies. The intention of the UK Biobank Eye and Vision Consortium is to include these derived measures in the UK Biobank data archive.

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