• DocumentCode
    532398
  • Title

    Modeling the electrical characteristics of the stomach and reconstructing image

  • Author

    Zhangyong, Li ; Likun, Xu ; Jinmin, Wei ; Xiaoyan, Liang ; Guo Yijun

  • Author_Institution
    Biomed. Eng. Res. Centre, Chongqing Univ. of Posts & Telecommun., Chongqing, China
  • Volume
    6
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    Currently, stomach functional detection has a great demand. It is a challenging job. The electrical impedance tomography study can be applied to explore a new method of gastric motility detection. In accordance with a color image of human sectional anatomy, the boundaries of the human body contours of the real body of stomach can be required. Simulate on dynamic electrical impedance tomography algorithm base on back-projection technique. Results show that the model can reflect different kinds of distribution of electrical conductivity. Basing on the back-projection techniques, the algorithm has a certain degree of precise location and identification. Electrical impedance tomography of gastric motility is feasible and reliable.
  • Keywords
    electric impedance imaging; electrical conductivity; image colour analysis; image reconstruction; medical image processing; object detection; back-projection technique; color image; dynamic electrical impedance tomography algorithm; electrical characteristic modelling; electrical conductivity distribution; gastric motility detection method; human body contours; human sectional anatomy; image reconstruction; stomach functional detection; Biological system modeling; Finite element methods; Fires; Impedance; Tomography; back-projection algorithm; electrical conductivity; electrical impedance tomography; gastric motility; human anatomy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5620468
  • Filename
    5620468