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Proceedings Paper

Evaluation of a new optimisation algorithm for rigid registration of MRI data
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Paper Abstract

We propose to use a recently introduced optimisation method in the context of rigid registration of medical images. This optimisation method, introduced by Powell and called NEWUOA, is compared with two other widely used algorithms: Powell's direction set and Nelder-Mead's downhill simplex method. This paper performs a comparative evaluation of the performances of these algorithms to optimise different image similarity measures for different mono- and multi-modal registrations. Images from the BrainWeb project are used as a gold standard for validation purposes. This paper exhibits that the proposed optimisation algorithm is more robust, more accurate and faster than the two other methods.

Paper Details

Date Published: 2 March 2007
PDF: 11 pages
Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 651206 (2 March 2007); doi: 10.1117/12.707931
Show Author Affiliations
Nicolas Wiest-Daesslé, INRIA, IRISA (France)
Univ. of Rennes I, IRISA (France)
CNRS, IRISA UMR 6074 (France)
Pierre Yger, INRIA, IRISA (France)
Univ. of Rennes I, IRISA (France)
CNRS, IRISA UMR 6074 (France)
Sylvain Prima, INRIA, IRISA (France)
Univ. of Rennes I, IRISA (France)
CNRS, IRISA UMR 6074 (France)
Christian Barillot, INRIA, IRISA (France)
Univ. of Rennes I, IRISA (France)
CNRS, IRISA UMR 6074 (France)


Published in SPIE Proceedings Vol. 6512:
Medical Imaging 2007: Image Processing
Josien P. W. Pluim; Joseph M. Reinhardt, Editor(s)

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