• DocumentCode
    3061297
  • Title

    Three dimensional electrical impedance tomography in thorax complete model

  • Author

    Wu, Huanli ; Xu, Guizhi ; Yu, Hongli ; Zhang, Shuai ; Li, Ying ; Yang, Shuo ; Yan, Weili

  • Author_Institution
    Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Hebei University of Technology, Tianjin, 300130, China
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    466
  • Lastpage
    469
  • Abstract
    The forward problem and the inverse problem are both researched. The opposite drive pattern is adopted with single drive current pattern. The potential distributions of inhaling and exhaling models are gotten in the forward problem, which are obtained by finite element method. The inverse problem is realized by Homotopy-Newton-Raphson algorithm, which needs times of revising the impedance after comparing the measuring potentials and the computing ones on the electrodes. The solution of the inverse problem is benefit for monitoring the activities in the thorax, such as inhaling and exhaling. Three dimensional electrical impedance tomography in the thorax complete model is provided in this paper, which is consisted with lung, muscle, heart and spinal column.
  • Keywords
    Electrodes; Finite element methods; Heart; Impedance measurement; Inverse problems; Lungs; Monitoring; Muscles; Thorax; Tomography; Algorithms; Cardiography, Impedance; Computer Simulation; Humans; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Models, Biological; Reproducibility of Results; Sensitivity and Specificity; Thorax; Tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4649191
  • Filename
    4649191