An Algorithm for Applying Multiple Currents Using Voltage Sources in Electrical Impedance Tomography

Area of Science:

• Electrical Impedance Tomography (EIT)
• Biomedical Imaging
• Signal Processing

Background:

• Current patterns offer superior spatial frequency noise suppression in EIT compared to voltage patterns.
• Accurate conductivity and permittivity imaging relies on effective current pattern application.
• Direct current source implementation in EIT systems is technically challenging and costly.

Purpose of the Study:

• To present a novel method for generating desired current patterns in multi-source EIT systems using readily available voltage sources.
• To develop an iterative algorithm capable of producing precise current patterns via voltage manipulation.
• To demonstrate the feasibility and convergence of using voltage sources for advanced EIT imaging.

Main Methods:

• Development of an iterative algorithm to compute voltage patterns for desired current outputs.
• Simulation of the algorithm's performance in a multiple-source EIT system.
• Analysis of algorithm convergence based on voltage-to-current mapping matrix estimation error.

Main Results:

• The iterative algorithm successfully generates voltage patterns that produce desired current patterns.
• Algorithm convergence is demonstrated under conditions of small estimation error in the voltage-to-current mapping.
• Simulation results validate the effectiveness of the proposed method in achieving target current distributions.

Conclusions:

• The proposed method provides a practical and cost-effective alternative to direct current sources for EIT.
• Accurate EIT imaging with enhanced noise suppression is achievable using voltage-driven current patterns.
• The iterative algorithm offers a reliable approach for generating specific current patterns in EIT systems.