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Reconstruction of conductivity changes due to ventilation and perfusion from EIT data collected on a rectangular

J L Mueller1, D Isaacson, J C Newell

  • 1Department of Mathematics, Colorado State University, Fort Collins 80523, USA. mueller@math.colostate.edu

Physiological Measurement
|March 10, 2001
PubMed
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Electrical impedance tomography (EIT) can reconstruct conductivity changes from ventilation and perfusion in human subjects. This non-invasive imaging technique uses electrode arrays to map conductivity distributions in the chest.

Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Physiology

Background:

  • Electrical Impedance Tomography (EIT) is a developing imaging modality.
  • Monitoring physiological processes like ventilation and perfusion is crucial in clinical settings.
  • Non-invasive methods for assessing thoracic conductivity changes are highly sought after.

Purpose of the Study:

  • To demonstrate the capability of EIT to reconstruct conductivity changes associated with ventilation and perfusion.
  • To validate the use of a rectangular electrode array for thoracic EIT.
  • To assess the feasibility of 3D conductivity mapping using EIT data.

Main Methods:

  • Utilized a rectangular electrode array placed on a human subject's chest.
  • Applied electrical currents and measured resulting voltages on the electrodes.

Related Experiment Videos

  • Employed a 3D reconstruction algorithm to determine the conductivity distribution beneath the electrode array.

    • Main Results:

    • Successfully reconstructed conductivity changes in the human thorax.
    • Demonstrated that these conductivity changes correlate with ventilation (breathing) and perfusion (blood flow).
    • Time-series analysis of reconstructed conductivity revealed dynamic physiological processes.

    Conclusions:

    • EIT is a viable method for monitoring thoracic conductivity variations.
    • The study confirms EIT's potential for non-invasively assessing ventilation and perfusion.
    • 3D conductivity reconstruction from EIT data provides valuable physiological insights.