• DocumentCode
    1881332
  • Title

    Segmenting Internal Brain Nuclei in MRI Brain Image Using Morphological Operators

  • Author

    Selvaraj, D. ; Dhanasekaran, R.

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Sathyabama Univ., Chennai, India
  • fYear
    2010
  • fDate
    10-12 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We present a new technique for segmenting brain nuclei from MRI brain images. Our method performs the segmentation using a combination approach of thresholding with morphological operators. The MRI brain image contains skull and noisy background. The latter have to be removed for further analysis. Elimination of any obstacles and noise from the image is the primary function of the morphological operators. We use simple morphological operators like dilation, erosion, opening and closing to the binarized MRI brain image. The results of skull stripped MR image with the use of disk shaped structuring elements are presented in the paper. The proposed method has been applied to a large number of MR images showing promising results for various image qualities, encouraging for future.
  • Keywords
    biomedical MRI; image denoising; image segmentation; medical image processing; MRI brain image; internal brain nuclei segmentation; morphological operators; noise elimination; Brain; Image segmentation; Magnetic resonance imaging; Morphology; Pixel; Shape; Skull;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5391-7
  • Electronic_ISBN
    978-1-4244-5392-4
  • Type

    conf

  • DOI
    10.1109/CISE.2010.5677218
  • Filename
    5677218