Computer algorithms for the automated measurement of retinal arteriolar diameters

AIMS Quantification of retinal vascular change is difficult and manual measurements of vascular features are slow and subject to observer bias. These problems may be overcome using computer algorithms. Three automated methods and a manual method for measurement of arteriolar diameters from digitised...

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Bibliographic Details
Published in:	British journal of ophthalmology Vol. 85; no. 1; pp. 74 - 79
Main Authors:	Chapman, N, Witt, N, Gao, X, Bharath, A A, Stanton, A V, Thom, S A, Hughes, A D
Format:	Journal Article
Language:	English
Published:	BMA House, Tavistock Square, London, WC1H 9JR BMJ Publishing Group Ltd 01.01.2001 BMJ BMJ Publishing Group LTD
Subjects:	Adult Aged Aged, 80 and over Algorithms Arterioles - anatomy & histology automated measurement Automation Biological and medical sciences Cardiovascular disease computer algorithms Female Fluorescein Angiography Geometry Humans Hypertension Image Processing, Computer-Assisted - methods Linear Models Male Measurement techniques Medical sciences Methods Middle Aged Mortality Ophthalmology Original articles - Laboratory science Photography Regression analysis Reproducibility of Results retinal arteriolar diameters Retinal Artery - anatomy & histology Retinopathies Human Hypertension Measurement Evaluation Retinopathy Arteriole Cardiovascular disease Retina Algorithm Automated processing Eye disease Computer aid Diameter
ISSN:	0007-1161, 1468-2079
Online Access:	Get full text
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