• DocumentCode
    2368778
  • Title

    A quantitative study of grade of gliomas by applying dynamic contrast-enhanced MR imaging technique

  • Author

    Zhang, Na ; Hu, Zhanli ; Liu, Xin ; Zheng, Hairong ; Wu, Yin ; Zou, Chao ; Hou, Bob L.

  • Author_Institution
    Paul C. Lauterbur Res. Centre for Biomed. Imaging, Chinese Acad. of Sci., Shenzhen, China
  • fYear
    2010
  • fDate
    4-7 Aug. 2010
  • Firstpage
    1615
  • Lastpage
    1618
  • Abstract
    Obtaining MRI parametric maps for addressing pathophysiology features rather than focusing on anatomical structures of tissues is becoming popular in quantitative study of human glioma. In Perfusion MRI, injected contrast agent may leak into the surrounding tissues of a glioma due to the breakdown of blood-brain barrier (BBB) in malignant (i.e., high grade) gliomas. As the consequence, the intensity of T1-weighted MRI signal increases during the leakage process. Based on the fact, in this paper quantitative indices including microvascular permeability were calculated by us to evaluate the histopathologic grades of gliomas by employing a T1-weighted dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) technique with 2D turbo fast low angle shot (turbo-FLASH) sequence. We presented the data analysis model of the DCE data, and the statistical analysis results from Kruskal-Wallis H-test and Mann-Whitney U-test.
  • Keywords
    biomedical MRI; medical image processing; statistical analysis; tumours; 2D turbo fast low angle shot; Kruskal-Wallis H-test; Mann-Whitney U-test; T1-weighted MRI signal; blood-brain barrier; dynamic contrast-enhanced MR imaging; gliomas; magnetic resonance imaging; microvascular permeability; pathophysiology; perfusion MRI; statistical analysis; turbo-FLASH; Biomedical imaging; Magnetic resonance imaging; Mathematical model; Permeability; Plasmas; Tumors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2010 International Conference on
  • Conference_Location
    Xi´an
  • ISSN
    2152-7431
  • Print_ISBN
    978-1-4244-5140-1
  • Electronic_ISBN
    2152-7431
  • Type

    conf

  • DOI
    10.1109/ICMA.2010.5588971
  • Filename
    5588971