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Related Experiment Video

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A Simple Approach to Perform TEER Measurements Using a Self-Made Volt-Amperemeter with Programmable Output Frequency
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A Versatile and Reproducible Multi-Frequency Electrical Impedance Tomography System.

James Avery1, Thomas Dowrick2, Mayo Faulkner3

  • 1Department Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK. j.avery@ucl.ac.uk.

Sensors (Basel, Switzerland)
|February 2, 2017
PubMed
Summary

A new, open-source Electrical Impedance Tomography (EIT) system, ScouseTom, offers versatile control for advanced imaging. This system enables high-resolution, stable EIT imaging for various applications, promoting wider research accessibility.

Keywords:
ArduinoElectrical Impedance Tomographybrain imagingevoked activitylong term monitoringopen source hardware

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Electrical Engineering

Background:

  • Electrical Impedance Tomography (EIT) is a valuable imaging modality.
  • Developing versatile and accessible EIT systems is crucial for advancing research.
  • Existing systems may lack flexibility or be difficult to replicate.

Purpose of the Study:

  • To develop and characterize a highly versatile, open-source Electrical Impedance Tomography (EIT) system.
  • To demonstrate the system's performance in phantom studies and in vivo experiments.
  • To facilitate the replication and adaptation of EIT technology.

Main Methods:

  • Developed the ScouseTom EIT system with controllable parameters (current amplitude, frequency, electrodes, protocols).
  • Utilized a Keithley 6221 current source and a 24-bit EEG system for voltage recording.
  • Characterized system performance using resistor phantoms and validated with in vivo studies (hemorrhage, evoked activity).

Main Results:

  • Achieved a signal-to-noise ratio (SNR) of 77.5 dB, stable over four hours and across a 20 Hz to 20 kHz frequency range.
  • Successfully reconstructed images of hemorrhage in scalp electrode studies and evoked activity in rat epicortical recordings.
  • Human scalp electrode data matched known tissue impedance spectra and demonstrated frequency stability.

Conclusions:

  • The ScouseTom EIT system is a versatile and high-performance platform for biomedical imaging.
  • The open-source nature and adaptability of the system encourage widespread adoption and further development.
  • The system's capabilities are validated for both phantom and in vivo applications, including human and animal studies.