• DocumentCode
    3110575
  • Title

    Image segmentation an early detection to Alzheimer´s disease

  • Author

    Shanthi, K.J. ; Ravish, D.K. ; Sasikumar, M.

  • Author_Institution
    Dr. Ambedkar Inst. of Technol., Bangalore, India
  • fYear
    2013
  • fDate
    13-15 Dec. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Image segmentation is a significant research field in medical engineering. Segmented brain images are used to visualize volume and quantitatively analyse anatomical and cortical structures. Segmented brain tissues provide an anatomical framework for visualisation which has a potential use in neuro-science research and neurosurgical planning owing to advances in Magnetic Resonance Imaging (MRI). Segmentation refers to the labeling of pixels into different regions. At a higher level these regions can be labeled as anatomical structures and then grouped across different slices to give three dimensional descriptions of these structures. The method proposed here is successful in segmenting the brain without human intervention and accurately detecting the variation in the total volume or size of the brain. The purpose of this work is to detect any subtle changes in the volume of the brain.
  • Keywords
    biomedical MRI; brain; diseases; image segmentation; medical image processing; neurophysiology; Alzheimer disease early detection; MRI; anatomical framework; anatomical structures; cortical structures; image segmentation; magnetic resonance imaging; medical engineering; neuro-science research; neurosurgical planning; pixels labeling; segmented brain images; segmented brain tissues; visualisation; Biomedical imaging; Diseases; Heuristic algorithms; Histograms; Image segmentation; Magnetic resonance imaging; Skull; Brain segmentation; Seed region growing; skull stripping; threshold;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    India Conference (INDICON), 2013 Annual IEEE
  • Conference_Location
    Mumbai
  • Print_ISBN
    978-1-4799-2274-1
  • Type

    conf

  • DOI
    10.1109/INDCON.2013.6726006
  • Filename
    6726006