• DocumentCode
    2203420
  • Title

    Extraction of brain tissues by non-parametric region growing method

  • Author

    Yanase, Masato ; Hasegawa, Mikio ; Ikeguchi, Tohru ; Matozaki, Takeshi

  • Author_Institution
    Dept. of Appl. Electron., Sci. Univ. of Tokyo, Japan
  • Volume
    2
  • fYear
    1996
  • fDate
    31 Oct-3 Nov 1996
  • Firstpage
    734
  • Abstract
    It is desirable to process the brain images by computers in order to extract brain region from MRI. When these method are applied to MRI, it has been necessary to experimentally decide parameters in order to get best performances. In this paper, we propose a novel algorithm for the automatic extraction of brain tissues from MRI. This algorithm is called the non-parametric region growing (NPRG) method which does not need the parameter. By NPRG, we can get the same extracted brain regions as the conventional method that has to experimentally decide the parameters
  • Keywords
    biomedical NMR; brain; feature extraction; image segmentation; medical image processing; 3D segmentation; MRI; automatic extraction; brain image processing; brain tissues extraction; growing pixel; nonparametric region growing method; Brain; Computed tomography; Data mining; Engineering in Medicine and Biology Society; Humans; Image edge detection; Joining processes; Magnetic resonance imaging; Roentgenium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
  • Conference_Location
    Amsterdam
  • Print_ISBN
    0-7803-3811-1
  • Type

    conf

  • DOI
    10.1109/IEMBS.1996.651951
  • Filename
    651951