• DocumentCode
    2223444
  • Title

    A Fast and Automatic Approach to Extract the Brain and Midsagittal Lines from FDG-PET Head Scans

  • Author

    Qian, Guoyu ; Luo, Suhuai ; Jin, Jesse ; Park, Mira ; Li, Jiaming ; Nowinski, Wieslaw L.

  • Author_Institution
    Sch. of Design, Commun. & IT, Univ. of Newcastle, Newcastle, NSW, Australia
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    1035
  • Lastpage
    1038
  • Abstract
    A fully automated approach is presented to extract brain areas efficiently from FDG-PET head scans. A threshold value is automatically calculated from the histogram graph of the brain images, followed by region growing and morphological operations, to segment brain areas from these images. Next, the midsagittal lines on axial slices are detected to separate the brain into two hemispheres. The proposed approach has been applied to 226 cases of normal controls and patients with neurological diseases. The average processing time is about 3 seconds on a standard personal computer. The experiment has shown promising results.
  • Keywords
    biomedical imaging; image processing; positron emission tomography; FDG-PET head scans; brain extraction; image processing; midsagittal lines extraction; Alzheimer´s disease; Brain; Computed tomography; Data mining; Head; Histograms; Image analysis; Magnetic resonance imaging; Morphological operations; Positron emission tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.28
  • Filename
    5455151