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Related Experiment Videos

Electrical impedance tomography of human brain function using reconstruction algorithms based on the finite element

Andrew P Bagshaw1, Adam D Liston, Richard H Bayford

  • 1Department of Clinical Neurophysiology, University College London, UK.

Neuroimage
|October 22, 2003
PubMed
Summary

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Electrical impedance tomography (EIT) offers improved brain imaging by incorporating realistic head geometry into its reconstruction algorithms. This enhancement significantly boosts image quality for functional neuroimaging applications.

Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Neuroscience

Background:

  • Electrical impedance tomography (EIT) is an emerging technique for imaging internal conductivity.
  • Previous EIT studies of cortical evoked responses yielded noisy images due to simplified homogeneous head models.
  • A need exists for improved EIT reconstruction algorithms that account for complex biological structures.

Purpose of the Study:

  • To develop and validate an improved EIT reconstruction algorithm incorporating realistic head geometry and conductivity distributions.
  • To enhance the image quality of EIT for functional neuroimaging applications.
  • To assess the potential of EIT as a low-cost, portable neuroimaging system.

Main Methods:

  • Developed a new EIT reconstruction algorithm using the finite element method to model realistic geometry and conductivity.

Related Experiment Videos

  • Validated the algorithm with computer simulations and phantom studies using saline tanks with plaster or human skull models.
  • Reanalyzed previous evoked response data and collected preliminary data during epileptic seizures.

    • Main Results:

    • The improved algorithm significantly enhanced EIT image quality by incorporating accurate geometry and extracerebral layers.
    • Blinded expert observers confirmed significant improvements in image quality.
    • EIT conductivity changes during epileptic seizures were consistent with electrographic ictal activity.

    Conclusions:

    • Incorporating realistic geometry and conductivity into EIT reconstruction algorithms substantially improves image quality.
    • The enhanced EIT technique shows promise as a low-cost, portable functional neuroimaging system.
    • Further development of EIT holds potential for clinical applications in neurology.