Related Experiment Videos
Calculated measures of performance in electrical impedance tomography using a finite-element model
I Basarab-Horwath1, J Piotrowski, P M McEwan
1School of Engineering Information Technology, Sheffield Hallam University, UK.
Physiological Measurement
|November 1, 1995
Summary
This study models an electrical impedance tomography (EIT) system to improve hardware design. The EIT phantom model reveals distinct spatial and contrast sensitivities, with higher sensitivity to resistive anomalies.
Area of Science:
- Biomedical Engineering
- Electrical Engineering
- Computational Modeling
Background:
- Electrical Impedance Tomography (EIT) is a non-invasive imaging technique.
- Optimizing EIT hardware, including electrode configuration, is crucial for accurate data collection.
- Finite-element modeling provides a powerful tool for simulating EIT systems.
Purpose of the Study:
- To develop and investigate a 2D finite-element model of an EIT phantom.
- To analyze the system's sensitivity to variations in a central anomaly's size and conductivity.
- To inform the design of improved EIT data collection hardware.
Main Methods:
- A 2D finite-element model with 16 equidistant electrodes was created.
- An adjacent-electrode constant-current drive scheme was employed for excitation.
- Anomaly size and conductivity were systematically varied to assess system response.
Main Results:
- Four sensitivity measures were defined: contrast sensitivity, spatial sensitivity, visibility, and RMS voltage difference.
- Distinct differences were observed between spatial and contrast sensitivity.
- The model showed over twice the sensitivity to resistive anomalies compared to conductive ones.
Conclusions:
- The developed EIT phantom model provides insights into measurement system behavior.
- Sensitivity measures correlate with anomaly properties, aiding hardware design.
- The model's findings on visibility align with experimental data, validating its utility.