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Finite-element method in electrical impedance tomography

E J Woo1, P Hua, J G Webster

  • 1Department of Biomedical Engineering, College of Medicine, Kon Kuk University, Choongbuk, Korea.

Medical & Biological Engineering & Computing
|September 1, 1994
PubMed
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This study presents a finite-element analysis software package for electrical impedance tomography (EIT) image reconstruction. The developed tools enable efficient modeling and fast algorithms for resistivity distribution imaging.

Area of Science:

  • Biomedical Engineering
  • Computational Modeling
  • Medical Imaging

Background:

  • Electrical Impedance Tomography (EIT) reconstructs internal resistivity distributions from boundary measurements.
  • Accurate EIT image reconstruction relies on robust computer models, efficient data acquisition, and fast algorithms.
  • The finite-element method (FEM) is a key computational technique for modeling EIT subjects.

Purpose of the Study:

  • To describe a developed finite-element analysis software package tailored for EIT.
  • To present mesh-design tools, including automatic generation and Delaunay optimization, for irregularly shaped subjects.
  • To highlight the software's capability for fast linear system solving using sparse-matrix techniques.

Main Methods:

  • Utilized the finite-element method for creating subject computer models.

Related Experiment Videos

  • Developed an interactive graphical mesh generator with automatic mesh generation and Delaunay optimization.
  • Implemented fast algorithms for solving linear systems employing sparse-matrix and vector techniques.

    • Main Results:

    • Successfully developed and described a comprehensive FEM software package for EIT.
    • Demonstrated the creation of various irregularly shaped subject models using advanced mesh-design tools.
    • Achieved efficient and fast solutions for linear systems crucial for EIT image reconstruction.

    Conclusions:

    • The developed software package provides an efficient and robust solution for static EIT image reconstruction.
    • The software's modular design and advanced algorithms support accurate resistivity distribution imaging.
    • The package is customizable for EIT and applicable to other biomedical research areas like impedance cardiography.