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Registration of PET and MR hand volumes using Bayesian Networks

By Derek Magee, Steven Tanner, Michael Waller, Dennis McGonagle and Alan Jeavons

Abstract

A method for the non-rigid, multi-modal, registration of volumetric scans of human hands is presented. PET and MR scans are aligned by optimising the configuration of a tube based model using a set of Bayesian networks. Efficient optimisation is performed by posing the problem as a\ud multi-scale, local, discrete (quantised) search, and using dynamic programming. The method is to be used within a project to study the use of high-resolution HIDAC PET imagery in investigating bone growth and erosion in arthritis.\u

Publisher: Springer
Year: 2005
OAI identifier: oai:eprints.whiterose.ac.uk:770

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