• DocumentCode
    3009515
  • Title

    Recursive Segmentation of Minicolums Using Myelinated Bundles

  • Author

    Konkachbaev, Anouar I. ; Elmaghraby, Adel S. ; Casanova, Manuel

  • Author_Institution
    Dept. of Comput. Eng. & Comput. Sci., Louisville Univ., KY
  • fYear
    2005
  • fDate
    16-19 March 2005
  • Firstpage
    52
  • Lastpage
    55
  • Abstract
    In this study we developed a new method for minicolumnar identification in brain images. We measure width of minicolumns by using myelinated bundles of axons. Using recursive spectral segmentation by Otsu thresholding we separate different parts of neocoretex and extract myelinated bundles. By tracing lines perpendicular to them we measure minicolumnar width. We also measure macrocolumnar width by minicolumnar clusters
  • Keywords
    brain; cellular biophysics; image segmentation; medical image processing; neurophysiology; Otsu thresholding; axons; brain images; minicolumnar clusters; minicolumnar identification; minicolumnar width; minicolums; myelinated bundles; neocoretex; recursive segmentation; recursive spectral segmentation; Biomedical imaging; Blood vessels; Brain; Computer science; Data mining; Image segmentation; Nerve fibers; Pixel; Psychiatry; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    0-7803-8710-4
  • Type

    conf

  • DOI
    10.1109/CNE.2005.1419549
  • Filename
    1419549
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3009515