Thönnes, Elke, Bhalerao, Abhir, Kendall, W. S. and Wilson, R. (2003) Bayesian analysis of vascular structure. In: Stochastic Geometry, Biological Structure and Images , 8-10 Jul 2003, University of Leeds.

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Abstract

The detection of artery and vein structure is of interest in both medical diagnosis and surgical planning. Here we examine vascular structure in the eye which is important for example to diagnose abnormal vessel growth due to diabetic retinopathy. The results presented here focus on retinal blood vessels; however all methods can be applied to general artery/vein structure. For example, in future we plan to investigate the three dimensional vascular structure in a human brain. As the images of interest are large, we first use a multi-resolution approach to summarise the image. All inference is then based on the image summarisation rather than the original image. We develop a prior model for vascular structure and use Markov Chain Monte Carlo (MCMC) to sample from the posterior distribution describing the global artery/vein structure in the image.

Item Type:	Conference Item (Paper)
Subjects:	Q Science > QA Mathematics Q Science > QM Human anatomy
Divisions:	Faculty of Science > Computer Science Faculty of Science > Statistics
Library of Congress Subject Headings (LCSH):	Bayesian statistical decision theory, Cardiovascular system, Markov processes, Monte Carlo method
Journal or Publication Title:	Stochastic Geometry, Biological Structure and Images
Publisher:	University of Leeds
Date:	2003
Page Range:	pp. 115-118
Status:	Peer Reviewed
Publication Status:	Published
Conference Paper Type:	Paper
Title of Event:	Stochastic Geometry, Biological Structure and Images
Type of Event:	Other
Location of Event:	University of Leeds
Date(s) of Event:	8-10 Jul 2003
URI:	http://wrap.warwick.ac.uk/id/eprint/37972

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