• DocumentCode
    1578288
  • Title

    Segmentation of Magnetic Resonance Images : A State of The Art

  • Author

    Rouaïnia, Mounira ; Doghmane, Noureddine

  • Author_Institution
    LAS Res. Lab., Univ. of Skikda, Skikda
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Images segmentation constitutes a crucial task in magnetic resonance images analysis by automating and facilitating isolation of anatomical structures and other regions of interest. The purpose of this paper is to present a state of the art of current approaches dealing with anatomical magnetic resonance images segmentation. Emphasis will be placed on revealing the advantages and disadvantages of these methods for medical imaging applications.
  • Keywords
    biomedical MRI; brain; image segmentation; anatomical magnetic resonance image segmentation; brain; medical imaging; Anatomical structure; Biomedical imaging; Image analysis; Image processing; Image segmentation; Lesions; Magnetic analysis; Magnetic resonance; Magnetic resonance imaging; Performance analysis; Magnetic resonance image; classification; regions of interest; segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference on
  • Conference_Location
    Damascus
  • Print_ISBN
    978-1-4244-1751-3
  • Electronic_ISBN
    978-1-4244-1752-0
  • Type

    conf

  • DOI
    10.1109/ICTTA.2008.4530109
  • Filename
    4530109