Title :
VALIDATION OF A NEW OPTIMISATION ALGORITHM FOR REGISTRATION TASKS IN MEDICAL IMAGING
Author :
Wiest-Daesslé, Nicolas ; Prima, Sylvain ; Morrissey, Sean Patrick ; Barillot, Christian
Author_Institution :
INRIA, Rennes
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
Keywords :
biodiffusion; biomedical MRI; brain; image matching; image registration; image sequences; medical image processing; neurophysiology; optimisation; acquisition distortion correction; anatomical MRI; brain image analysis; cerebral midsagittal plane computation; diffusion-tensor MRI; diffusion-weighted MRI; image intensity; image matching; image registration tasks; magnetic resonance images; medical imaging; monosequence images; multisequence images; new unconstrained optimisation algorithm; optimisation algorithm; similarity criterion; Biomedical imaging; Brain; Diffusion tensor imaging; Hospitals; Image analysis; Level measurement; Magnetic resonance imaging; Nervous system; Robustness; Tensile stress;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
1-4244-0672-2
Electronic_ISBN :
1-4244-0672-2
DOI :
10.1109/ISBI.2007.356783