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A resistive mesh phantom for assessing the performance of EIT systems
Hervé Gagnon1, Martin Cousineau, Andy Adler
1Institut de Génie Biomédical, Ecole Polytechnique de Montréal, Montréal, QC H3C3A7, Canada. gagnon@igb.polymtl.ca
IEEE Transactions on Bio-Medical Engineering
|June 17, 2010
Summary
A novel resistive mesh phantom with Ag/AgCl electrode models assesses electrical impedance tomography (EIT) system performance, mimicking in vivo conditions. It quantifies signal-to-noise ratio (SNR), accuracy, and modeling accuracy, crucial for EIT system validation.
Area of Science:
- Biomedical Engineering
- Electrical Engineering
- Medical Imaging
Background:
- Electrical Impedance Tomography (EIT) system performance assessment typically relies on phantoms for validation and calibration.
- Existing phantoms may not fully replicate in vivo conditions, particularly cabling stray effects.
Purpose of the Study:
- To introduce a novel resistive mesh phantom designed to evaluate EIT system performance.
- To incorporate realistic modeling of Ag/AgCl electrode impedances and account for cabling stray effects.
Main Methods:
- Construction of a 2-D circular homogeneous phantom using 340 precision resistors on a PCB.
- Integration of equivalent electrical models for Ag/AgCl electrode impedances, fitted using impedance analyzer data.
- Development and application of three performance indicators: Signal-to-Noise Ratio (SNR), accuracy, and modeling accuracy.
Main Results:
- The phantom successfully assesses EIT system performance, including SNR, accuracy, and modeling accuracy.
- Performance indicators were evaluated under varying frame rates and applied current intensities.
- Demonstrated dependency of performance indicators on frame rate, operating frequency, current intensity, measurement strategy, and intermodulation distortion.
Conclusions:
- The described phantom provides a versatile tool for EIT system performance assessment, adaptable to various shapes and conductivity distributions.
- Accurate reporting of EIT performance indicators necessitates specifying parameters like frame rate, frequency, and current intensity.
- This phantom facilitates more reliable validation and comparison of EIT systems in research and clinical settings.
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