Abstract
This paper presents a study of image simplification techniques as a first stage to define a multiresolution registration framework. We propose here a new approach for image registration based on the partitioning of the source images in binary-space (BSP) and quad-tree structures. These partitioned images have been obtained with a maximum mutual information gain algorithm. Multimodal registration experiments with downsampled, BSP and quadtree partitioned images show an outstanding accuracy and robustness by using BSP images, since the grid effects are drastically reduced. The obtained results indicate that BSP partitioning can provide a suitable framework for multiresolution registration.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Cover, T.M., Thomas, J.A.: Elements of Information Theory. Wiley Series in Telecommunications (1991)
Maes, F., Collignon, A., Vandermeulen, D., Marchal, G., Suetens, P.: Multimodality image registration by maximization of mutual information. IEEE Transactions on Medical Imaging 16(2), 187–198 (1997)
National Institutes of Health. Retrospective Image Registration Evaluation. Vanderbilt University, Nashville, TN, USA, Project Number 8R01EB002124-03, Principal Investigator J. Michael Fitzpatrick (2003)
Pluim, J.P.W., Maintz, J.B.A., Viergever, M.A.: Mutual-information-based registration of medical images: a survey. IEEE Transactions on Medical Imaging 22, 986–1004 (2003)
Rigau, J., Feixas, M., Sbert, M., Bardera, A., Boada, I.: Medical image segmentation based on mutual information maximization. In: Barillot, C., Haynor, D.R., Hellier, P. (eds.) MICCAI 2004. LNCS, vol. 3216, pp. 135–142. Springer, Heidelberg (2004)
Studholme, C.: Measures of 3D Medical Image Alignment. PhD thesis, University of London, London, UK (August 1997)
Tsao, J.: Interpolation artifacts in multimodal image registration based on maximization of mutual information. IEEE Transactions on Medical Imaging 22, 854–864 (2003)
Unser, M., Thévenaz, P.: Stochastic sampling for computing the mutual information of two images. In: Proceedings of the 5th International Workshop on Sampling Theory and Applications (SampTA 2003), Strobl, Austria, pp. 102–109 (May 2003)
Viola, P.A.: Alignment by Maximization of Mutual Information. PhD thesis, Massachusetts Institute of Technology, Massachusetts, MA, USA (1995)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bardera, A., Feixas, M., Boada, I., Rigau, J., Sbert, M. (2006). Medical Image Registration Based on BSP and Quad-Tree Partitioning. In: Pluim, J.P.W., Likar, B., Gerritsen, F.A. (eds) Biomedical Image Registration. WBIR 2006. Lecture Notes in Computer Science, vol 4057. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11784012_1
Download citation
DOI: https://doi.org/10.1007/11784012_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35648-6
Online ISBN: 978-3-540-35649-3
eBook Packages: Computer ScienceComputer Science (R0)