Curvature Based Registration with Applications to MR-Mammography

Bernd Fischer, Jan Modersitzki


We introduce a new non-linear registration model based on a curvature type regularizer. We show that affine linear transformations belong to the kernel of this regularizer. Consequently, an additional global registration is superfluous. Furthermore, we present an implementation of the new scheme based on the numerical solution of the underlying Euler-Lagrange equations. The real discrete cosine transform is the backbone of our implementation and leads to a stable and fast backslashmathcalO(n backslashlog n)algorithm, where n denotes the number of voxels. We demonstrate the advantages of the new technique for synthetic data sets. Moreover, first convincing results for the registration of MR-mammography images are presented.
TitelComputational Science --- ICCS 2002
Redakteure/-innenPeter M. A. Sloot, Alfons G. Hoekstra, C. J. Kenneth Tan, Jack J. Dongarra
ErscheinungsortBerlin, Heidelberg
Herausgeber (Verlag)Springer Berlin Heidelberg
ISBN (Print)978-3-540-43594-5
ISBN (elektronisch)978-3-540-47789-1
PublikationsstatusVeröffentlicht - 10.04.2002
VeranstaltungInternational Conference on Computational Science 2002 - Amsterdam, Niederlande
Dauer: 21.04.200224.04.2002
Konferenznummer: 96801


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