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Validation of a new optimisation algorithm for registration tasks in medical imaging

Nicolas Wiest-Daesslé 1 Sylvain Prima 1 Christian Barillot 1
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 : A number of problems frequently encountered in brain image analysis can be conveniently solved within a registration framework, such as alignment of mono- or multi-sequence Magnetic Resonance Images (MRI) for single or multiple subjects, computation of the cerebral mid-sagittal plane in anatomical or diffusion-tensor MRI, correction of acquisition distortions in diffusion-weighted MRI, etc. A widely used approach for registration tasks consists of maximising a similarity criterion between the intensities of the images to be matched. In this context, efficient optimisation methods are needed to obtain good performances. In this paper, we introduce a new optimisation algorithm (called NEWUOA) to address the above registration problems, and we demonstrate its robustness and accuracy properties.
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Submitted on : Monday, February 26, 2007 - 10:04:50 AM
Last modification on : Thursday, January 14, 2021 - 11:16:55 AM
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Nicolas Wiest-Daesslé, Sylvain Prima, Christian Barillot. Validation of a new optimisation algorithm for registration tasks in medical imaging. IEEE International Symposium on Biomedical Imaging, Apr 2007, Washington, United States. ⟨10.1109/ISBI.2007.356783⟩. ⟨inria-00133377⟩



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