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Hierarchical estimation of a dense deformation field for 3-D robust registration

Hellier, Pierre ; Barillot, Christian ; Mémin, Etienne ; Pérez, Patrick ;Hellier, Pierre (Editor)

IEEE Transactions on Medical Imaging, 21 May 2001, Vol.20(5), pp.388-402 [Peer Reviewed Journal]

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  • Title:
    Hierarchical estimation of a dense deformation field for 3-D robust registration
  • Author/Creator: Hellier, Pierre ; Barillot, Christian ; Mémin, Etienne ; Pérez, Patrick
  • Hellier, Pierre (Editor)
  • Language: English
  • Subjects: Computer Science ; Information Retrieval ; Medicine ; Engineering ; Computer Science
  • Is Part Of: IEEE Transactions on Medical Imaging, 21 May 2001, Vol.20(5), pp.388-402
  • Description: A new method for medical image registration is formulated as a minimization problem involving robust estimators. We 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, we 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. Index Terms--Atlas matching, brain MRI, incremental optical flow, medical imaging, multigrid minimization, registration, robust estimators.
  • Identifier: ISSN: 0278-0062 ; E-ISSN: 1558-254X ; DOI: 10.1109/42.925292