A Model Based Approach for Vessel Caliber Measurement in Retinal Images

Fraz, M.M., Remagnino, P., Hoppe, A., Barman, S.A., Rudnicka, A., Owen, C. and Whincup, P. (2012) A Model Based Approach for Vessel Caliber Measurement in Retinal Images. In: Eighth International Conference on Signal Image Technology and Internet Based Systems (SITIS); 25-29 Nov 2012, Sorrento, Italy. ISBN 9781467351522

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Abstract

The diagnostic signature of many microvasculature diseases like diabetes mellitus, hypertension and arteriosclerosis includes the changes incurred in the diameter of retinal blood vessels. Therefore estimation of precise vascular widths is a critical and demanding process in automated retinal image analysis. This paper proposes an automated system to measure the vessel caliber in the retinal images of multi-ethnic school children. The diameter measurement is based on the detection of the centerline pixels from a vessel probability map image, determining the vessel orientation at these pixels, extracting the vessel segments and later using a two dimensional model, which is optimized to fit various types of intensity profiles of vessel segments. The width is then estimated from parameters of the optimized model. The method is also used to explore the relationship between the average vessel width and the background pigmentation of the retinal image by analyzing monochromatic representations of different color spaces.

Item Type: Conference or Workshop Item (Paper)
Event Title: Eighth International Conference on Signal Image Technology and Internet Based Systems (SITIS)
Organising Body: IEEE
Uncontrolled Keywords: Biomedical imaging Blood vessels Educational institutions Image color analysis Image segmentation Retina Skeleton Model fitting Ophthalmology Retinal blood vessels Retinal image analysis Width measurement
Research Area: Computer science and informatics
Faculty, School or Research Centre: Faculty of Science, Engineering and Computing
Faculty of Science, Engineering and Computing > School of Computing and Information Systems
Depositing User: Moazam Fraz
Date Deposited: 14 Feb 2014 11:27
Last Modified: 14 Feb 2014 11:59
URI: http://eprints.kingston.ac.uk/id/eprint/27944

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