• DocumentCode
    599033
  • Title

    A non-iterative registration method based on image transformation descriptors

  • Author

    Lubniewski, P.J. ; Miguel, Bruno ; Sarry, L. ; Lohou, Christophe

  • Author_Institution
    ISIT, Clermont Univ., Clermont-Ferrand, France
  • fYear
    2012
  • fDate
    16-18 Oct. 2012
  • Firstpage
    1176
  • Lastpage
    1180
  • Abstract
    In this article we present a novel method of the image registration based on the image transformation descriptors which are also introduced in this paper. The algorithm computes the registration parameters directly, on the contrary to the most known, iterative methods. It is fast and robust and therefore can be used as an initialization for the more accurate (but slower) algorithms. Our registration technique relies on the values obtained from appropriate transformation descriptions (image transformation descriptors, ITDs), computed from the geometric properties present on the images. It is also possible to adapt the process to a specific registration problem by providing custom descriptors, specific for a particular case. To prove the usability of the method, we have successfully tested it for registering 3D CT images with the angiography of thoracic aortas.
  • Keywords
    geometry; image registration; ITD; geometric properties; image registration; image transformation descriptors; noniterative registration method; registration parameters; thoracic aortas angiography; Angiography; Computed tomography; Image registration; Image segmentation; Iterative methods; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2012 5th International Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4673-0965-3
  • Type

    conf

  • DOI
    10.1109/CISP.2012.6470007
  • Filename
    6470007