• DocumentCode
    2705917
  • Title

    Automatic skull stripping in brain MRI based on local moment of inertia structure tensor

  • Author

    Zhong, Yi ; Qi, Shouliang ; Kang, Yan ; Feng, Wei ; Haacke, E. Mark

  • Author_Institution
    Sino-Dutch Biomed. & Inf. Eng. Sch., Northeastern Univ., Shenyang, China
  • fYear
    2012
  • fDate
    6-8 June 2012
  • Firstpage
    437
  • Lastpage
    440
  • Abstract
    A new automatic skull stripping method for fluid attenuated inversion recovery (FLAIR) MR images is proposed for the quantification of brain volume in multiple sclerosis (MS) patients. The proposed method is based on the use of local moment of inertia structure tensor and morphological operators. The local moment of inertia structure tensor is used to determine the boundary of the brain, instead of the conventional edge detection algorithms. Data from 30 MS patients were processed by the proposed method and the Brain Extraction Tool (BET); the results of which were also compared with manual segmentation. It was shown that the proposed method was able to produce more accurate results.
  • Keywords
    biomedical MRI; brain; diseases; medical image processing; FLAIR MR images; automatic skull stripping; brain MRI; brain extraction tool; fluid attenuated inversion recovery; local moment of inertia structure tensor; morphological operators; multiple sclerosis patients; Brain; Image edge detection; Image segmentation; Magnetic resonance imaging; Manuals; Multiple sclerosis; Tensile stress; MRI; Multiple Sclerosis; moment of inertia; skull stripping; structure tensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2012 International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4673-2238-6
  • Electronic_ISBN
    978-1-4673-2236-2
  • Type

    conf

  • DOI
    10.1109/ICInfA.2012.6246845
  • Filename
    6246845