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

Nicolas Wiest-Daesslé 1 Pierre Yger 1 Sylvain Prima 1 Christian Barillot 1, * 
* Corresponding author
1 VisAGeS - Vision, Action et Gestion d'informations en Santé
INSERM - Institut National de la Santé et de la Recherche Médicale : U746, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
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.
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Submitted on : Monday, February 26, 2007 - 9:59:52 AM
Last modification on : Thursday, January 20, 2022 - 4:20:25 PM
Long-term archiving on: : Wednesday, April 7, 2010 - 12:41:04 AM


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Nicolas Wiest-Daesslé, Pierre Yger, Sylvain Prima, Christian Barillot. Evaluation of a new optimisation algorithm for rigid registration of MRI data. Medical Imaging 2007: Image Processing, Feb 2007, San Diego, United States. ⟨10.1117/12.707931⟩. ⟨inria-00133375⟩



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