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Related Experiment Videos

Electrical impedance tomography spectroscopy (EITS) for human head imaging.

R J Yerworth1, R H Bayford, B Brown

  • 1Department of Clinical Neurophysiology, Middlesex Hospital, University College London, London W1T 3AA, UK. yerworth@medphys.ucl.ac.uk

Physiological Measurement
|June 19, 2003
PubMed
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This study introduces a novel multifrequency electrical impedance tomography (EIT) system for brain imaging. The new EIT design enables faster, more detailed brain imaging, crucial for diagnosing conditions like stroke and epilepsy.

Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Neuroscience

Background:

  • Electrical impedance tomography (EIT) is a cost-effective, rapid, and portable medical imaging technique.
  • Current EIT primarily images impedance changes over time at a single frequency.
  • There is a need for EIT to capture images at a single time point across multiple frequencies.

Purpose of the Study:

  • To develop and evaluate a novel multifrequency EIT system for enhanced brain imaging.
  • To assess the feasibility of using multifrequency EIT for static brain imaging.
  • To adapt existing EIT technology for multi-frequency head imaging.

Main Methods:

  • A novel multifrequency EIT system was designed by integrating a multiplexer into the Sheffield Mark 3.5 system.

Related Experiment Videos

  • The system was configured with up to 64 electrodes for head imaging.
  • Performance was evaluated using phantom studies, including visualization of small objects in a saline tank.

    • Main Results:

    • The multifrequency EIT system successfully images using up to 64 electrodes.
    • Despite a reduction in Common Mode Rejection Ratio (CMRR) and amplifier bandwidth, imaging performance remained adequate.
    • Small objects (10% diameter cylinders) were visualized using frequency-referenced imaging, demonstrating system viability.

    Conclusions:

    • The developed multifrequency EIT system offers a practical and effective compromise between performance and usability.
    • This novel EIT design is suitable for clinical trials investigating stroke, epilepsy, and neonatal brain injury.
    • Multifrequency EIT holds promise for static brain imaging applications.