• DocumentCode
    3249820
  • Title

    Analysis of cortical thickness in patients with posttraumatic stress disorder due to mining disaster

  • Author

    Li, Yijun ; Yin, Hong ; Wang, Shuyi ; Zhang, Junying ; Lu, Hongbing

  • Author_Institution
    Dept. of Comput. Applic., Fourth Mil. Med. Univ., Xi´´an, China
  • fYear
    2010
  • fDate
    10-13 June 2010
  • Firstpage
    79
  • Lastpage
    82
  • Abstract
    MRI studies in post-traumatic stress disorder (PTSD) have focused primarily on manually-based hippocampal volumetry. However, the variation in cortical thickness and the relationship between the cortical volume and thickness alteration has not been well investigated in PTSD. In this paper, Laplacian method was first utilized to estimate cortical thickness after automatic segmentation of grey matter from MR images. Then the thickness maps were analyzed by SPM5, as well as volumetric analysis. Comparison between 15 survivors of mining disaster with PTSD and 10 survivors without PTSD, from the same accident, indicates that in the superior frontal gyrus and cuneus, the cortical thickness of survivors with PTSD is significantly larger than those without PTSD. However, local reduction in cortical volume is observed in hippocampus, which suggests indirect relationship between the two kinds of structural alterations.
  • Keywords
    Laplace equations; biomedical MRI; brain; image segmentation; medical disorders; medical image processing; neurophysiology; Laplacian method; MRI; automatic segmentation; cortical thickness; cortical volume; cortical volume reduction; cuneus; grey matter; hippocampus; manually-based hippocampal volumetry; mining disaster; posttraumatic stress disorder; structural alterations; superior frontal gyrus; thickness alteration; thickness maps; volumetric analysis; Accidents; Application software; Biomedical imaging; Hippocampus; History; Hospitals; Image analysis; Magnetic resonance imaging; Psychology; Stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Medical Image Analysis and Clinical Applications (MIACA), 2010 International Conference on
  • Conference_Location
    Guangdong
  • Print_ISBN
    978-1-4244-8011-1
  • Type

    conf

  • DOI
    10.1109/MIACA.2010.5528500
  • Filename
    5528500