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Induced current electrical impedance tomography system: experimental results and numerical simulations
Sharon Zlochiver1, M Michal Radai, Shimon Abboud
1Department of Biomedical Engineering, Tel-Aviv University, Tel-Aviv, Israel.
Physiological Measurement
|March 10, 2004
Summary
Induced current electrical impedance tomography (ICEIT) offers improved imaging quality despite noise sensitivity. This study evaluated an ICEIT system, finding it capable of indicating conductivity changes angularly, though radial sensitivity remains a challenge.
Area of Science:
- Medical Imaging
- Biomedical Engineering
- Electrical Engineering
Background:
- Electrical Impedance Tomography (EIT) reconstructs conductivity distributions from surface potentials.
- Practical EIT systems face challenges with noise sensitivity, impacting imaging quality.
- Induced Current EIT (ICEIT) utilizes magnetic induction for eddy current application, potentially mitigating some EIT limitations.
Purpose of the Study:
- To evaluate the performance of a 3-coil, 32-electrode ICEIT system.
- To compare voltage measurements with simulated data.
- To assess imaging quality using different regularization methods for conductivity reconstruction.
Main Methods:
- Development and implementation of an iterative modified Newton-Raphson algorithm for the inverse problem.
- Comparison of experimental voltage measurements against simulated data.
- Evaluation of Marquardt and Laplacian regularization methods for image reconstruction.
Main Results:
- The Root Mean Square (RMS) norm between simulated and experimental voltages was low (0.08 +/- 0.05 mV, <3%).
- Laplacian regularization showed promise for simulated data but introduced artifacts in measured data.
- Experimental reconstructions indicated the angular position of conductivity perturbations, but radial sensitivity was limited, particularly with Marquardt regularization.
Conclusions:
- The developed ICEIT system demonstrates feasibility for conductivity imaging.
- Regularization method choice significantly impacts image quality, with Laplacian regularization being problematic for experimental data.
- Further improvements are needed to enhance radial sensitivity in ICEIT reconstructions.