Suitability of UK Biobank Retinal Images for Automatic Analysis of Morphometric Properties of the Vasculature

• Published in: PloS one Vol. 10; no. 5; p. e0127914
• Main Authors: MacGillivray, Thomas J, Cameron, James R, Zhang, Qiuli, El-Medany, Ahmed, Mulholland, Carl, Sheng, Ziyan, Dhillon, Bal, Doubal, Fergus N, Foster, Paul J, Trucco, Emmanuel, Sudlow, Cathie
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 22.05.2015; Public Library of Science (PLoS)
• Subjects: Adult; Aged; Angles (geometry); Atherosclerosis; Automation; Bifurcations; Bioindicators; Biomarkers; Blood vessels; Brain research; Cardiovascular disease; Cardiovascular diseases; Chronic diseases; Chronic illnesses; Computer applications; Computer programs; Consortia; Databases, Factual; Diabetic retinopathy; Diagnosis; Disease control; Eye (anatomy); Female; Fundus Oculi; Health screening; Humans; Hypertension; Image detection; Image processing; Image Processing, Computer-Assisted - methods; Image quality; Infarction; Innovations; Male; Medical examination; Methods; Middle Aged; Morphometry; Myocardial infarction; Recruitment; Retina; Retinal Diseases - diagnosis; Retinal images; Retinal Vessels - pathology; Software; Stroke; Tortuosity

To assess the suitability of retinal images held in the UK Biobank--the largest retinal data repository in a prospective population-based cohort--for computer assisted vascular morphometry, generating measures that are commonly investigated as candidate biomarkers of systemic disease. Non-mydriatic...