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Communication Dans Un Congrès Année : 2007

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

Résumé

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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Dates et versions

inria-00133377 , version 1 (26-02-2007)

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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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