• DocumentCode
    2490531
  • Title

    Model-based 3D/2D deformable registration of MR images

  • Author

    Marami, Bahram ; Sirouspour, Shahin ; Capson, David W.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    4880
  • Lastpage
    4883
  • Abstract
    A method is proposed for automatic registration of 3D preoperative magnetic resonance images of deformable tissue to a sequence of its 2D intraoperative images. The algorithm employs a dynamic continuum mechanics model of the deformation and similarity (distance) measures such as correlation ratio, mutual information or sum of squared differences for registration. The registration is solely based on information present in the 3D preoperative and 2D intraoperative images and does not require fiducial markers, feature extraction or image segmentation. Results of experiments with a biopsy training breast phantom show that the proposed method can perform well in the presence of large deformations. This is particularly useful for clinical applications such as MR-based breast biopsy where large tissue deformations occur.
  • Keywords
    biomedical MRI; feature extraction; image registration; image segmentation; medical image processing; phantoms; MR images; automatic registration; biopsy training breast phantom; correlation ratio; deformable tissue; distance measures; feature extraction; fiducial markers; image segmentation; model based 2D deformable registration; model based 3Ddeformable registration; mutual information; preoperative magnetic resonance images; similarity measures; Biological system modeling; Deformable models; Image registration; Mathematical model; Solid modeling; Three dimensional displays; Vectors; Humans; Magnetic Resonance Imaging; Models, Theoretical;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6091209
  • Filename
    6091209