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A modular open-source platform for electrical impedance tomography applications.

Henry W Hall1, Lui Holder-Pearson1, Cong Zhou1

  • 1Centre of Bioengineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.

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Summary
This summary is machine-generated.

This study presents a flexible, open-source Electrical Impedance Tomography (EIT) device for medical imaging research. The modular design and broad bandwidth enable adaptable imaging protocols, aiding further EIT development.

Keywords:
Electrical impedance tomographyLow-costMedical imagingOpen-source

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Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Electrical Engineering

Background:

  • Electrical Impedance Tomography (EIT) offers real-time imaging with lower cost and risk compared to traditional methods.
  • Current EIT research is limited by a lack of spatial resolution and inflexible commercial devices unsuitable for protocol customization.
  • Developing adaptable EIT systems is crucial for advancing research and overcoming existing limitations.

Purpose of the Study:

  • To demonstrate a novel, flexible, and open-source Electrical Impedance Tomography (EIT) device.
  • To enable researchers to easily modify imaging protocols and hardware configurations.
  • To validate the device's functionality and performance for EIT research.

Main Methods:

  • Designed a modular EIT device with four interchangeable PCBs for easy hardware modification.
  • Incorporated a voltage acquisition board with a 1 kHz to 2 MHz bandwidth and a current stimulation board up to 2 MHz.
  • Utilized open-source reconstruction software (GREIT) for target detection and performance evaluation.

Main Results:

  • The EIT device demonstrated accurate target detection in a saline tank.
  • Achieved a mean Signal to Noise Ratio (SNR) of 85.4 dB.
  • Attained a mean homogenous reconstruction accuracy of 85.5%.

Conclusions:

  • The developed open-source EIT device is functional and suitable for assisting research.
  • Its modular design and wide bandwidth facilitate adaptable imaging protocols.
  • This flexible EIT system can accelerate advancements in medical imaging research.