Magee, Derek, Tanner, Steven, Waller, Michael, McGonagle, Dennis and Jeavons, Alan (2005) Registration of PET and MR hand volumes using Bayesian Networks. In: Computer Vision for Biomedical Image Applications: First International Workshop, CVBIA 2005, Beijing, China, October 21, 2005, Proceedings. Lecture Notes in Computer Science (3765). Springer , New York , pp. 437-448. ISBN 3-540-29411-2
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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 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.
| Item Type: | Book Section |
|---|---|
| Copyright, Publisher and Additional Information: | Copyright © 2005 Springer. This is an author produced version of a paper published in Computer Vision for Biomedical Image Applications. |
| Keywords: | Medical Image Analysis, Registration, Dynamic Programming, Arthritis, Hands, Bayesian Networks |
| Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > Leeds Institute of Genetics, Health and Therapeutics (LIGHT) > Academic Unit of Medical Physics (Leeds) The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Genetics, Health and Therapeutics (LIGHT) > Academic Unit of Medical Physics (Leeds) The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds) |
| Depositing User: | Derek R. Magee |
| Date Deposited: | 13 Mar 2006 |
| Last Modified: | 08 Feb 2013 17:02 |
| Status: | Published |
| Publisher: | Springer |
| Refereed: | Yes |
| URI: | http://eprints.whiterose.ac.uk/id/eprint/770 |
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