• DocumentCode
    2807591
  • Title

    MRI modalitiy transformation in demon registration

  • Author

    Kroon, Dirk-Jan ; Slump, Cornelis H.

  • Author_Institution
    Inst. for Biomed. Technol. & Tech. Med., Univ. of Twente, Enschede, Netherlands
  • fYear
    2009
  • fDate
    June 28 2009-July 1 2009
  • Firstpage
    963
  • Lastpage
    966
  • Abstract
    Nonrigid local image registration plays an important role in medical imaging. In this paper we focus on demon registration which is introduced by Thirion [1], and is comparable to fluid registration. Because demon registration cannot deal with multiple MRI modalities, we introduce a MRI modality transformation which changes the representation of a T1 scan into a T2 scan using the peaks in a joint histogram. We compare the performance between demon registration with modality transformation, demon registration with gradient images and Rueckerts [2] B-spline based free form deformation method in combination with mutual information. For this test we use perfectly aligned T1 and T2 slices from the BrainWeb database [3], which we local spherically distort. In conclusion demon registration with modality transformation gives the smallest registration errors, in case of local large spherical distortions and small bias fields.
  • Keywords
    biomedical MRI; brain; image registration; medical image processing; splines (mathematics); B-spline; MRI; bias fields; demon registration; free form deformation method; local large spherical distortions; multiple modalitiy transformation; nonrigid local image registration; Biomedical imaging; Equations; Histograms; Image registration; Image segmentation; Iterative algorithms; Lesions; Magnetic analysis; Magnetic resonance imaging; Niobium; Image registration; Magnetic resonance imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
  • Conference_Location
    Boston, MA
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-3931-7
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2009.5193214
  • Filename
    5193214