Abstract
We study a landmark-based image registration technique that uses elastic model and boundary mapping. Emphasis is given to the reconstruction of heterogeneous material properties and the use of recovered object-specific information to facilitate the registration computation. Tikhonov functional is used to estimate elastic property from landmarks with measurement uncertainty. A preliminary study using a 2D synthetic object indicates that incorporation of actual material properties in the registration method can improve registration accuracy and reduce computational cost.
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
Bajcsy, R., Kovacic, S.: Multiresolution elastic matching. Computer Vision, Graphics and Image Processing 46, 1–21 (1989)
Christensen, G.E., Joshi, S.C., Miller, M.I.: Volumetric transformation of brain anatomy. IEEE Transactions on Medical Imaging 16, 864–877 (1997)
Davatzikos, C., Prince, J.L., Bryan, R.N.: Image registration based on boundary mapping. IEEE Transactions on Medical Imaging 15, 112–115 (1996)
Engl, H.W., Hanke, M., Neubauer, A.: Regularization of Inverse Problems. Kluwer Academic Publishers, Dordrecht (1996)
Gee, J., Barillot, C., Briquer, L.L., Haynor, D., Bajcsy, R.: Matching structuralimages of the human brain using statistical and geometrical image features. SPIE Visualization in Biomedical Computing 2359, 191–204 (1994)
Hagemann, A., Rohr, K., Stiehl, S.H., Spetzger, U., Gilsbach, J.M.: Biomechanical modeling of the human head for physically based, nonrigid image registration. IEEE Transactions on Medical Imaging 18, 875–884 (1999)
Miller, M.I., Christensen, G.E., Amit, Y., Grenander, U.: Mathematical textbook of deformable neuroanatomies. Proceedings of the National Academy of Sciences 90(24), 11944–11948 (1993)
Terzopoulos, D.: Regularization of visual problems involving discontinuities. IEEE Transactions on Pattern Analysis and Machine Intelligence 8, 413–424 (1986)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, Y., Goldgof, D.B., Sarkar, S. (2003). Towards Physically-Sound Registration Using Object-Specific Properties for Regularization. In: Gee, J.C., Maintz, J.B.A., Vannier, M.W. (eds) Biomedical Image Registration. WBIR 2003. Lecture Notes in Computer Science, vol 2717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39701-4_38
Download citation
DOI: https://doi.org/10.1007/978-3-540-39701-4_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20343-8
Online ISBN: 978-3-540-39701-4
eBook Packages: Springer Book Archive