Validation of a New Optimisation Algorithm for Registration Tasks in Medical Imaging

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.

• Type: Conference
• Year: 2007
• Where: ISBI
• Authors: Nicolas Wiest-Daesslé, Sylvain Prima, Sean Patrick Morrissey, Christian Barillot
• Keywords: Brain Image Analysis, Cerebral Mid-sagittal Plane, ISBI 2007, Magnetic Resonance Images, Medical Imaging