• DocumentCode
    1863462
  • Title

    Image registration using elastic contours and internal landmarks

  • Author

    Mitsa, Theophano ; Qian, Jiang

  • Author_Institution
    Dept. of Electr. Eng., Iowa Univ., Iowa City, IA, USA
  • Volume
    1
  • fYear
    1998
  • fDate
    18-21 May 1998
  • Firstpage
    451
  • Abstract
    In this paper, we present a regional image registration method. The basic idea is to use the contours of the regions and internal anatomical landmarks to assist the registration. Our method registers images by warping one image into the other. The warping transforms are derived from point based interpolation that passes through the contour and anatomical landmarks. The registration performance depends on the interpolation method used for warping. Two interpolation methods are investigated in the paper: the inverse distance weighted approach and the radial basis function approach. We also studied the effect of different combinations of internal and external points used for registration. CT images and mesh images are presented to illustrate the choice of interpolation methods and landmarks on the results of the image registration
  • Keywords
    feedforward neural nets; image matching; image registration; interpolation; CT images; anatomical landmarks; elastic contours; internal landmarks; inverse distance weighted approach; mesh images; point based interpolation; radial basis function approach; regional image registration; warping; Acceleration; Anatomical structure; Biomedical imaging; Cities and towns; Computed tomography; Image analysis; Image registration; Interpolation; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 1998. IMTC/98. Conference Proceedings. IEEE
  • Conference_Location
    St. Paul, MN
  • ISSN
    1091-5281
  • Print_ISBN
    0-7803-4797-8
  • Type

    conf

  • DOI
    10.1109/IMTC.1998.679827
  • Filename
    679827