• DocumentCode
    3139977
  • Title

    A Fast and Automatic Method for 3D Rigid Registration of MR Images of the Human Brain

  • Author

    Favretto, Fernanda O. ; Bergo, Felipe P G ; Falcao, Alexandre X.

  • Author_Institution
    LIV - Inst. of Comput., Univ. of Campinas, Campinas
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    121
  • Lastpage
    128
  • Abstract
    Image registration is an important problem with several applications in medical imaging. Intra-subject rigid registration requires a minimal set of parameters to be computed, and is sufficient for organs with no significant movement or deformation, such as the human brain. Rigid registration has also been used as the first step before inter-subject deformable registration. In this paper we present a fast and automatic method for 3D rigid registration of magnetic resonance images of the human brain. The method combines previous approaches formid-sagittal plane location and brain segmentation with a greedy-search algorithm to find the best match between source and target images. We evaluated the method on 200 image pairs: 100 without structural abnormalities and 100 with artificially created lesions, such that it was possible to quantify the registration errors. The method achieved very accurate registration within a few seconds.
  • Keywords
    biomedical MRI; brain; greedy algorithms; image registration; image segmentation; search problems; 3D rigid registration; MR images; brain segmentation; formid-sagittal plane location; greedy-search algorithm; human brain; image registration; inter-subject deformable registration; magnetic resonance images; medical imaging; Biomedical imaging; Computer graphics; Humans; Image registration; Image segmentation; Lesions; Magnetic resonance; Medical treatment; Parameter estimation; Surgery; image processing; medical image analysis; registration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics and Image Processing, 2008. SIBGRAPI '08. XXI Brazilian Symposium on
  • Conference_Location
    Campo Grande
  • ISSN
    1530-1834
  • Print_ISBN
    978-0-7695-3358-2
  • Type

    conf

  • DOI
    10.1109/SIBGRAPI.2008.33
  • Filename
    4654151