By Topic

A Bayesian Radial Basis Function Model to Link Retinal Structure and Visual Function in Glaucoma

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Haogang Zhu ; Dept. of Optometry & Visual Sci., City Univ. London, London, UK ; David P. Crabb ; David F. Garway-Heath

Glaucoma is a leading cause of irreversible blindness and requires precise measures for early detection and follow-up. However, individual clinical measures in glaucoma are highly variable. It is anticipated that this variability can be reduced by combining the independent measurements that test various aspects of the glaucomatous damage. This study proposes a mathematical framework to link retinal nerve fibre layer (RNFL) structure and visual function using the data typically acquired in the clinical management of glaucoma. The model performed and generalized well over different populations from three clinical centres. The derived structure-function relationship accorded well with RNFL anatomy, and could be applied to reduce the variability that confounds the measurement of glaucoma damage.

Published in:

2009 3rd International Conference on Bioinformatics and Biomedical Engineering

Date of Conference:

11-13 June 2009