• DocumentCode
    714342
  • Title

    Automatic registration of structural brain MR images to MNI image space

  • Author

    Dagdeviren, Zuleyha Akusta ; Oguz, Kaya ; Cinsdikici, Muhammed

  • Author_Institution
    Bilgisayar Muhendisligi Bolumu, Izmir Univ., İzmir, Turkey
  • fYear
    2015
  • fDate
    16-19 May 2015
  • Firstpage
    359
  • Lastpage
    362
  • Abstract
    Disease diagnosis has been made by experts examining the images obtained by magnetic resonance imaging (MRI) technique, the disease process is observed using images taken at different times. Brain MR images are registered to the standard brain atlases because the human brain has a complex structure and varies from person to person. Corpus Callosum (CC) has a big importance for medical image registration because it can be easily distinguished on T1-weighted structural brain MR images and does not vary prominently between individuals. In this study, from the midsagittal brain MR image that belongs to the patient CC is detected fully automatically via Valley Matching (VM) Algorithm. The contribution of this study is registration of patient´s MR image onto the Montreal Neurological Institute (MNI) image space by using automatically detected reference points.
  • Keywords
    biomedical MRI; brain; feature extraction; image matching; image registration; medical image processing; MNI image space; Montreal Neurological Institute; VM algorithm; automatic image registration; corpus callosum; magnetic resonance imaging; midsagittal brain MR image; patient CC detection; structural brain MR images; valley matching algorithm; Biomedical imaging; Magnetic resonance imaging; MNI image space; brain MR image registration; corpus callosum;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2015 23th
  • Conference_Location
    Malatya
  • Type

    conf

  • DOI
    10.1109/SIU.2015.7129833
  • Filename
    7129833