• DocumentCode
    1586375
  • Title

    Statistical quantification of brain shape deformation with homologous brain shape modeling

  • Author

    Yamaguchi, Kosuke ; Kobashi, Syoji ; Kuramoto, Kei ; Kitamura, Yuri T. ; Imawaki, Seturo ; Hata, Yutaka

  • Author_Institution
    Grad. Sch. of Eng., Univ. of Hyogo, Himeji, Japan
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Brain shape is deformed regionally by kinds of cerebral diseases and the degree of progress. Therefore quantitative evaluation of the deformation using MR images is effective for diagnosis of cerebral diseases. We proposed a homologous brain shape modeling deformation for quantitative evaluation of the brain shape using sulcal-distribution index (SDI) in MR images. So in this paper, we propose the homologous brain shape modeling. And we find the availability of the homologous brain shape modeling by investigating relationship between the movement distance with the homologous brain shape modeling and gray matter (GM) density of voxel based morphometry (VBM). This study employed nine male and two female and investigate a difference between male group and female group. The experimental results showed that the relationship between the homologous brain shape modeling and VBM was found from the same detection significant difference.
  • Keywords
    biomedical MRI; medical image processing; statistical analysis; MR images; brain shape deformation; cerebral diseases diagnosis; gray matter density; homologous brain shape modeling; magnetic resonance images; movement distance; statistical quantification; sulcal-distribution index; voxel based morphometry; Availability; Brain models; Deformable models; Diseases; Shape; Solid modeling; MR image; brain shape; cerebral sulci; cerebral surface; voxel based morphometry.;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Automation Congress (WAC), 2010
  • Conference_Location
    Kobe
  • ISSN
    2154-4824
  • Print_ISBN
    978-1-4244-9673-0
  • Electronic_ISBN
    2154-4824
  • Type

    conf

  • Filename
    5665302