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Calibration methods for a multi-channel multi-frequency EIT system.

Tong In Oh¹, Kyung Heon Lee, Sang Min Kim

¹College of Electronics and Information, Kyung Hee University, Korea.

Physiological Measurement

|October 2, 2007

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Novel calibration methods for the KHU Mark1 electrical impedance tomography (EIT) system significantly reduce errors. These techniques improve current source output and voltmeter accuracy, leading to more reliable EIT imaging results.

Area of Science:

Electrical Engineering
Biomedical Imaging
Metrology

Background:

Multi-channel, multi-frequency electrical impedance tomography (EIT) systems are susceptible to systematic errors.
Accurate calibration is crucial for minimizing these errors and ensuring reliable imaging.
The KHU Mark1 EIT system is a recently developed platform requiring specific calibration strategies.

Purpose of the Study:

To introduce and validate novel calibration methods for the KHU Mark1 EIT system.
To minimize systematic errors in multi-channel, multi-frequency EIT measurements.
To demonstrate the impact of calibration on the quality of reconstructed EIT images.

Main Methods:

Current source calibration involved maximizing output resistance and minimizing output capacitance using generalized impedance converters.

Related Experiment Videos

Voltmeter calibration included phase calibration to nullify system phase shifts and two-step gain calibration (intra- and inter-channel).

Intra-channel calibration addressed frequency dependence and gain discrepancies, while inter-channel calibration corrected for voltmeter-specific gains.

Main Results:

Achieved a minimal output impedance of 1 MΩ for the current source across 10 Hz–500 kHz.
Reduced reciprocity error to 0.05% after comprehensive voltmeter calibration.
Demonstrated significant reduction in image artifacts: standard deviation decreased by ~40% for time-difference images and ~90% for frequency-difference images of a homogenous phantom.

Conclusions:

The novel calibration methods effectively minimize systematic errors in the KHU Mark1 EIT system.
Calibrated EIT data yield substantially improved image quality, reducing spurious anomalies.
These advancements are vital for accurate and reliable EIT-based measurements and imaging.