• DocumentCode
    2521168
  • Title

    NON-RIGID IMAGE REGISTRATION USING ADAPTIVE GRID GENERATION: PRELIMINARY RESULTS

  • Author

    Chen, Hua-Mei ; Hsieh, Chih-Yao ; Liao, Guojun

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Texas Univ., Arlington, TX
  • fYear
    2007
  • fDate
    12-15 April 2007
  • Firstpage
    580
  • Lastpage
    583
  • Abstract
    In this paper, we present a new fully automated parametric non-rigid image registration method. The parameters in this new method are related to the divergence and the curl of an intermediate vector field from which the deformation field is computed. Regularization is achieved by imposing a constraint on the monitor function which is directly related to the divergence of the intermediate vector field. As a result, no regularization term is involved in our formulation. Our preliminary experimental results in 2D indicate that this new method has the potential to resolve the well known "aperture problem" suffered by many intensity based non-rigid image registration methods.
  • Keywords
    image registration; medical image processing; adaptive grid generation; aperture problem; image registration; intermediate vector field; regularization; Apertures; Finite element methods; Grid computing; Image registration; Image resolution; Jacobian matrices; Mathematics; Mesh generation; Monitoring; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/ISBI.2007.356918
  • Filename
    4193352