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

Nicolas Wiest-Daesslé; Pierre Yger; Sylvain Prima; Christian Barillot

doi:10.1117/12.707931

2 March 2007 Evaluation of a new optimisation algorithm for rigid registration of MRI data

Nicolas Wiest-Daesslé, Pierre Yger, Sylvain Prima, Christian Barillot

Proceedings Volume 6512, Medical Imaging 2007: Image Processing; 651206 (2007) https://doi.org/10.1117/12.707931
Event: Medical Imaging, 2007, San Diego, CA, United States

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.

Citation Download Citation

Nicolas Wiest-Daesslé, Pierre Yger, Sylvain Prima, and Christian Barillot "Evaluation of a new optimisation algorithm for rigid registration of MRI data", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 651206 (2 March 2007); https://doi.org/10.1117/12.707931

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