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Forward problem of three dimensional EIT in thorax model.

Huanli Wu1, Guizhi Xu, Shuai Zhang

  • 1Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Hebei University of Technology, Tianjin 300130, China. hlwu2003@126.com

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|December 6, 2007
PubMed
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This study presents the forward problem in 3D electrical impedance tomography (EIT) for thorax models. It demonstrates potential distribution calculations using the finite element method for monitoring lung activity.

Area of Science:

  • Medical Imaging
  • Biophysics
  • Computational Electromagnetics

Background:

  • Electrical Impedance Tomography (EIT) is a non-invasive imaging technique.
  • Understanding the forward problem is crucial for developing inverse problem solutions in EIT.
  • Thorax models are essential for simulating respiratory activities and their electrical effects.

Purpose of the Study:

  • To present the forward problem of 3D electrical impedance tomography (EIT) in a thorax model.
  • To calculate potential distribution on the model's boundary using the finite element method.
  • To analyze potential distributions during inhalation and exhalation phases.

Main Methods:

  • Utilized the finite element method (FEM) to solve the forward problem.
  • Developed a 3D thorax model for electrical impedance tomography simulations.

Related Experiment Videos

  • Applied single and multiple drive current patterns to analyze potential distributions.

    • Main Results:

    • Successfully calculated potential distributions for both inhaling and exhaling thorax models.
    • Demonstrated the impact of different drive current patterns (single vs. multiple) on potential distribution.
    • Visualized the potential field changes associated with simulated breathing.

    Conclusions:

    • The forward problem simulation provides essential data for EIT.
    • FEM is an effective method for modeling potential distributions in complex geometries like the thorax.
    • This approach aids in monitoring thorax activities and developing advanced EIT applications.