• DocumentCode
    152820
  • Title

    Kruskal´s minimum spanning tree approach to brain fiber tractography computation

  • Author

    Dura, Dilek Goksel ; Duru, Adil Deniz

  • Author_Institution
    Biyomedikal Muhendisligi Bolumu, Istanbul Arel Univ., İstanbul, Turkey
  • fYear
    2014
  • fDate
    23-25 April 2014
  • Firstpage
    1624
  • Lastpage
    1626
  • Abstract
    Kruskal´s minimum spanning tree algorithm is a graph algorithm which constructs the tree with the minimum total edge length. The starting node of the tree generated by Kruskal´s algorithm is not important. This is an advantage in diffusion tensor fiber analysis. In this study, a tractography approach, which does not depend on user selection, independent from a starting node, covers the whole region of interest, and calculates all the connectivity, is proposed. In this diffusion tensor tractography study, the advantages and limitations of the Kruskal´s minimum spanning tree method are discussed, and a tractography algorithm based on this approach is developed.
  • Keywords
    biodiffusion; biomedical MRI; brain; medical image processing; trees (mathematics); Kruskal minimum spanning tree algorithm; brain fiber tractography computation; diffusion tensor fiber analysis; diffusion tensor tractography study; graph algorithm; Algorithm design and analysis; Conferences; Optical fiber communication; Radio frequency; Signal processing; Signal processing algorithms; Tensile stress; Kruskal´s minimum spanning tree; diffusion tensor; tractography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2014 22nd
  • Conference_Location
    Trabzon
  • Type

    conf

  • DOI
    10.1109/SIU.2014.6830556
  • Filename
    6830556