• DocumentCode
    858273
  • Title

    Accurate Inversion of 3-D Transformation Fields

  • Author

    Noblet, Vincent ; Heinrich, Christian ; Heitz, Fabrice ; Armspach, Jean-Paul

  • Author_Institution
    Univ. Louis Pasteur, Strasbourg
  • Volume
    17
  • Issue
    10
  • fYear
    2008
  • Firstpage
    1963
  • Lastpage
    1968
  • Abstract
    This correspondence addresses the inversion of 3-D transformation fields, which is a problem that typically arises in image warping problems. A topology preserving parametric B-spline-based representation of the deformation field is considered. Topology preservation ensures that the transformation is a one-to-one mapping and consequently that it is invertible. Inverting such transformation fields amounts to solving a system of nonlinear equations. To tackle this problem, we rely on interval analysis techniques. The proposed algorithm yields a solution whose accuracy is user-controlled. This method may be extended to any dense transformation field and also to deformations defined on a grid of points, by considering a projection in the space of topology preserving B-spline-based deformation fields. The performance of the algorithm is illustrated on transformation fields coming from intersubject brain registration.
  • Keywords
    image registration; nonlinear equations; splines (mathematics); 3D transformation fields; B-spline-based representation; image warping problems; intersubject brain registration; interval analysis techniques; nonlinear equations; topology preservation; topology preserving B-spline-based deformation fields; Brain modeling; Interpolation; Nonlinear equations; Parameter estimation; Stress; Topology; Yield estimation; Image warping; interval analysis; resolution of systems of nonlinear equations; transformation field inversion; Algorithms; Brain; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Magnetic Resonance Imaging; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2008.2002310
  • Filename
    4623244