• DocumentCode
    2284851
  • Title

    Brain MR image segmentation with fuzzy C-means and using additional shape elements

  • Author

    Özyurt, Onur ; Dinçer, Alp ; Öztürk, Cengizhan

  • Author_Institution
    Biyomed. Muhendisligi Enstitusu, Bogazici Univ., Istanbul, Turkey
  • fYear
    2009
  • fDate
    20-22 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Using the intensity of the element in interest, standard FCM generates the membership values to all classes. When used for segmentation of images, this method is not capable of correcting the effects of noise. To overcome that problem, we propose a modification on the standard method. The voxels in the neighborhood are taken into account, forming the shape elements in addition to the intensity of the voxel in interest. The resulting input vector is used with FCM. The proposed method was tested with MR brain image with and without added synthetic noise.
  • Keywords
    biomedical MRI; brain; fuzzy logic; image segmentation; medical image processing; neurophysiology; brain MR image segmentation; fuzzy C-means; magnetic resonance imaging; shape element; standard FCM generation; voxel intensity; Brain; Image segmentation; Noise shaping; Principal component analysis; Shape; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering Meeting, 2009. BIYOMUT 2009. 14th National
  • Conference_Location
    Balcova, Izmir
  • Print_ISBN
    978-1-4244-3605-7
  • Electronic_ISBN
    978-1-4244-3606-4
  • Type

    conf

  • DOI
    10.1109/BIYOMUT.2009.5130271
  • Filename
    5130271