• DocumentCode
    884285
  • Title

    Model-based registration of X-ray mammograms and MR images of the female breast

  • Author

    Ruiter, Nicole V. ; Stotzka, Rainer ; Müller, Tim-Oliver ; Gemmeke, Hartmut ; Reichenbach, Jurgen R. ; Kaiser, Werner A.

  • Author_Institution
    Inst. of Data Process. & Electron., Forschungszentrum Karlsruhe, Germany
  • Volume
    53
  • Issue
    1
  • fYear
    2006
  • Firstpage
    204
  • Lastpage
    211
  • Abstract
    We present a new approach for automatic registration of X-ray mammograms and MR images. Multimodal breast cancer diagnosis is supported by automatic localization of small lesions, which are only visible in the mammograms or in the MR image. To cope with the huge deformation of the breast during mammography, a finite element model of the deformable behavior of the breast is applied during the registration. An evaluation of the registration with six clinical data sets resulted in an accurate localization with a mean displacement of 4.3 mm (±1 mm) and 3.9 mm (±1.7 mm) for predicting the lesion position in mammograms and in the MR images, respectively.
  • Keywords
    X-ray imaging; cancer; finite element analysis; image registration; mammography; MR images; X-ray mammograms; automatic localization; deformable behavior; female breast; finite element model; image registration; mammography; model-based registration; multimodal breast cancer diagnosis; small lesions; Breast cancer; Deformable models; Finite element methods; Image coding; Image registration; Lesions; Magnetic resonance imaging; Mammography; Optical imaging; X-ray imaging; Breast cancer; MR images; X-ray mammograms; deformable models; finite element simulation; image registration;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/TNS.2005.862983
  • Filename
    1610973