Kotsas, P. and Dodd, T. (2011) Rigid registration of medical images using 1D and 2D binary projections. Journal of Digital Imaging, 24 (5). pp. 913-925. ISSN 0897-1889
Abstract
Image registration is a necessary procedure in everyday clinical practice. Several techniques for rigid and non-rigid registration have been developed and tested and the state-of-the-art is evolving from the research setting to incorporate image registration techniques into clinically useful tools. In this paper, we develop a novel rigid medical image registration technique which incorporates binary projections. This technique is tested and compared to the standard mutual information (MI) methods. Results show that the method is significantly more accurate and robust compared to MI methods. The accuracy is well below 0.5A degrees and 0.5 mm. This method introduces two more improvements over MI methods: (1)for 2D registration with the use of 1D binary projections, we use minimal interpolation; and (2) for 3D registration with the use of 2D binary projections the method converges to stable final positions, independent of the initial misregistration.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2011 Springer. This is an author produced version of a paper subsequently published in Journal of Digital Imaging. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Medical image registration; Binary projections; Interpolation; Convergence |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Miss Anthea Tucker |
Date Deposited: | 31 Oct 2011 14:49 |
Last Modified: | 06 Jun 2014 20:00 |
Published Version: | http://dx.doi.org/10.1007/s10278-010-9352-z |
Status: | Published |
Publisher: | Springer Verlag |
Refereed: | Yes |
Identification Number: | 10.1007/s10278-010-9352-z |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:43360 |