Precise Registration of CT and MR Volumes Based on a New Creaseness Measure

  • David Lloret
  • Antonio M. López
  • Joan Serrat


Image registration or matching attempts to solve the problem that arises when two images taken at different times, by different sensors or from different viewpoints need to be compared. An upcoming application of image registration is in the field of medical images, specially since the introduction of 3-D modalities. Many methods have been proposed for multi-sensor medical image registration [1]. Our research has focused in CT-MR registration because these modalities are widely available and they provide complementary information: CT depicts accurately bones, while MR distinguishes soft tissues.


Image Registration Simplex Algorithm Medical Image Analysis Gradient Vector Field Precise Registration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [1]
    J. B. A. Maintz, M. A. Viergever. A survey of medical image registration. Medical Image Analysis, Vol 2, No. 1, 1–36, 1998.Google Scholar
  2. [2]
    P. A. van den Elsen, J. B. A. Maintz, E-J. D. Pol, and M. Viergever. Automatic registration of CT and MR brain images using correlation of geometrical features. IEEE Trans. on Medical Imaging, 14:384–396, 1995.CrossRefGoogle Scholar
  3. [3]
    D. Eberly, R. Gardner, B. Morse, S. Pizer, and C. Scharlach. Ridges for image analysis. J. of Mathematical Imaging and Vision, 4:353–373, 1994.CrossRefGoogle Scholar
  4. [4]
    A. López and J. Serrat and F. Lumbreras. Creaseness from Levet Set Extrinsic Curvature. Accepted in the 5th Euro. Conf. on Computer Vision, Proc. published in the series LNCS. Springer-Verlag, 1998.Google Scholar
  5. [5]
    C. Studholme, D. Hill and D.J. Hawkes. Automated 3D registration of MR and CT images of the head. Medical Image Analysis 1(2): 163–175 1996CrossRefGoogle Scholar
  6. [6]
    J. West., J.M. Fitzpatrick, M.Y. Yang et al. Comparison and evaluation of retrospective intermodality brain image registration techniques Journal of Computed Assisted Tomography, Vol. 21, pp. 554–566, 1997.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Limited 1998

Authors and Affiliations

  • David Lloret
    • 1
  • Antonio M. López
    • 1
  • Joan Serrat
    • 1
  1. 1.Computer Vision Center and Departament d’InformàticaUniversitat Autònoma de BarcelonaCerdanyolaSpain

Personalised recommendations