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System Description and First Application of an FPGA-Based Simultaneous Multi-Frequency Electrical Impedance
Susana Aguiar Santos1, Anne Robens2, Anna Boehm3
1Philips Chair for Medical Information Technology, RWTH Aachen University, Pauwelsstrasse 20, Aachen 52074, Germany. santos@hia.rwth-aachen.de.
Sensors (Basel, Switzerland)
|July 28, 2016
Summary
A new multi-frequency electrical impedance tomography system prototype was developed. This system shows promising results for time-difference imaging and preliminary frequency-difference imaging in vivo.
Area of Science:
- Biomedical Engineering
- Electrical Engineering
- Medical Imaging
Background:
- Electrical Impedance Tomography (EIT) is a non-invasive imaging technique.
- Multi-frequency EIT offers enhanced tissue characterization capabilities.
- Simultaneous multi-frequency measurements are crucial for advanced EIT applications.
Purpose of the Study:
- To present a novel prototype of a multi-frequency EIT system.
- To evaluate the system's performance for both time-difference and frequency-difference imaging.
- To demonstrate the first preliminary in-vivo frequency-difference EIT images.
Main Methods:
- A field-programmable gate array (FPGA) was utilized as the main controller.
- A composite waveform enabled simultaneous measurements across multiple frequencies.
- Real and imaginary impedance components were computed and transmitted via Ethernet.
- Time-difference and frequency-difference imaging algorithms were applied for reconstruction and visualization.
Main Results:
- The prototype successfully performed time-difference imaging across frequencies from 60 kHz to 960 kHz, aligning with simulation data.
- Preliminary frequency-difference images from in-vivo experiments were successfully generated, a novel achievement.
- The system computed both real and imaginary impedance components for each frequency.
Conclusions:
- The developed multi-frequency EIT system prototype demonstrates robust performance for time-difference imaging.
- The system enables preliminary frequency-difference imaging, including in-vivo applications.
- Further algorithmic development and normalization improvements are needed for optimal frequency-difference image reconstruction and interpretation.

