TY - CHAP
T1 - Automated quantification of retinal vessel morphometry in the UK biobank cohort
AU - on behalf of the UK Biobank Eye and Vision Consortium
AU - Welikala, R. A.
AU - Fraz, M. M.
AU - Habib, M. M.
AU - Daniel-Tong, S.
AU - Yates, M.
AU - Foster, P. J.
AU - Whincup, P. H.
AU - Rudnicka, A. R.
AU - Owen, C. G.
AU - Strachan, D. P.
AU - Barman, S. A.
AU - Aslam, Tariq
AU - Barman, Sarah
AU - Paul Bishop, S.
AU - Blows, Peter
AU - Bunce, Catey
AU - Carare, Roxana
AU - Chakravarthy, Usha
AU - Chan, Michelle
AU - Chianca, Antonietta
AU - Cipriani, Valentina
AU - Crabb, David
AU - Cumberland, Philippa
AU - Day, Alexander
AU - Desai, Parul
AU - Dhillon, Bal
AU - Dick, Andrew
AU - Foster, Paul
AU - Gallacher, John
AU - Garway-Heath, David Ted
AU - Goverdhan, Srini
AU - Guggenheim, Jeremy
AU - Gupta, Priyal
AU - Hammond, Chris
AU - Hogg, Ruth
AU - Hughes, Anne
AU - Keane, Pearse
AU - Khaw, Sir Peng Tee
AU - Khawaja, Anthony
AU - Lascaratos, Gerassimos
AU - Lotery, Andrew
AU - Luthert, Phil
AU - Mac-Gillivray, Tom
AU - Mackie, Sarah
AU - Martin, Keith
AU - McGaughey, Michelle
AU - McGuinness, Bernadette
AU - Morgan, James
AU - Viswanathan, Ananth
AU - Williams, Katie
PY - 2018/3/8
Y1 - 2018/3/8
N2 - 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.
AB - 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.
KW - Disease biomarkers
KW - Large retinal datasets
KW - Retinal image analysis
KW - UK Biobank
UR - http://www.scopus.com/inward/record.url?scp=85050700370&partnerID=8YFLogxK
U2 - 10.1109/IPTA.2017.8310108
DO - 10.1109/IPTA.2017.8310108
M3 - Conference paper
AN - SCOPUS:85050700370
T3 - Proceedings of the 7th International Conference on Image Processing Theory, Tools and Applications, IPTA 2017
SP - 1
EP - 6
BT - Proceedings of the 7th International Conference on Image Processing Theory, Tools and Applications, IPTA 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Image Processing Theory, Tools and Applications, IPTA 2017
Y2 - 28 November 2017 through 1 December 2017
ER -
