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Proceedings Paper

Elastic registration based on matrix-valued spline functions and direct integration of landmarks and intensities
Author(s): Stefan Wörz; Andreas Biesdorf; Karl Rohr
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Paper Abstract

We introduce a new approach for spline-based elastic registration using both point landmarks and intensity information. With this approach, both types of information and a regularization based on the Navier equation are directly integrated in a single energy minimizing functional. For this functional, we have derived an analytic solution, which is based on matrix-valued non-radial basis functions. Our approach can cope with monomodal and multimodal images. For the latter case, we have integrated a computationally efficient analytic similarity measure. We have successfully applied our approach to synthetic images, phantom images, and MR images of the human brain.

Paper Details

Date Published: 14 February 2012
PDF: 7 pages
Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83141B (14 February 2012); doi: 10.1117/12.911414
Show Author Affiliations
Stefan Wörz, Univ. of Heidelberg (Germany)
Andreas Biesdorf, Univ. of Heidelberg (Germany)
Karl Rohr, Univ. of Heidelberg (Germany)

Published in SPIE Proceedings Vol. 8314:
Medical Imaging 2012: Image Processing
David R. Haynor; Sébastien Ourselin, Editor(s)

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