DocumentCode :
1495054
Title :
Hierarchical estimation of a dense deformation field for 3-D robust registration
Author :
Hellier, P. ; Barillot, C. ; Mémin, E. ; Pérez, P.
Author_Institution :
IRISA, Rennes, France
Volume :
20
Issue :
5
fYear :
2001
fDate :
5/1/2001 12:00:00 AM
Firstpage :
388
Lastpage :
402
Abstract :
A new method for medical image registration is formulated as a minimization problem involving robust estimators. The authors propose an efficient hierarchical optimization framework which is both multiresolution and multigrid. An anatomical segmentation of the cortex is introduced in the adaptive partitioning of the volume on which the multigrid minimization is based. This allows to limit the estimation to the areas of interest, to accelerate the algorithm, and to refine the estimation in specified areas. At each stage of the hierarchical estimation, the authors refine current estimate by seeking a piecewise affine model for the incremental deformation field. The performance of this method is numerically evaluated on simulated data and its benefits and robustness are shown on a database of 18 magnetic resonance imaging scans of the head.
Keywords :
biomedical MRI; brain models; image matching; image registration; image segmentation; medical image processing; minimisation; 3-D robust registration; adaptive volume partitioning; algorithm acceleration; anatomical segmentation; cortex; dense deformation field; efficient hierarchical optimization framework; head MRI scans; hierarchical estimation; magnetic resonance imaging scans database; medical diagnostic imaging; minimization problem; Acceleration; Biomedical imaging; Deformable models; Image databases; Image registration; Image segmentation; Minimization methods; Numerical simulation; Partitioning algorithms; Robustness; Computer Simulation; Densitometry; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Phantoms, Imaging; Sensitivity and Specificity; Software Design;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/42.925292
Filename :
925292
Link To Document :
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