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Proceedings Paper

Hybrid physics-based elastic image registration using approximating splines
Author(s): Stefan Wörz; Karl Rohr
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Paper Abstract

We introduce a new hybrid physics-based approach for elastic image registration using approximating splines. As underlying deformation model we employ Gaussian elastic body splines (GEBS), which are an analytic solution of the Navier equation under Gaussian forces and are represented by matrix-valued basis functions. Our approach is formulated as an energy-minimizing functional that incorporates both landmark and intensity information as well as a regularization based on GEBS. We also include landmark localization uncertainties represented by weight matrices. Since the approach is based on a physical deformation model, cross-effects in elastic deformations can be handled. We demonstrate the applicability of our scheme based on MR images of the human brain. It turns out that the new scheme is superior to a pure landmark-based as well as a pure intensity-based scheme.

Paper Details

Date Published: 26 March 2008
PDF: 8 pages
Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 69140V (26 March 2008); doi: 10.1117/12.769448
Show Author Affiliations
Stefan Wörz, Univ. of Heidelberg (Germany)
German Cancer Research Ctr. (Germany)
Karl Rohr, Univ. of Heidelberg (Germany)
German Cancer Research Ctr. (Germany)


Published in SPIE Proceedings Vol. 6914:
Medical Imaging 2008: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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