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FPGA Based High Speed Data Acquisition System for Electrical Impedance Tomography.

S Khan¹, A Borsic¹, Preston Manwaring¹

¹Thayer School of Engineering, Dartmouth College, Hanover, NH, USA.

Journal of Physics. Conference Series

|April 15, 2014

Summary

This summary is machine-generated.

This study presents a modular 32-channel Electrical Impedance Tomography (EIT) data acquisition system. The system utilizes FPGA hardware acceleration for high-speed imaging of tissue bio-impedance.

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Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit

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Area of Science:

Biomedical Engineering
Medical Imaging

Background:

Electrical Impedance Tomography (EIT) offers non-ionizing, high-speed imaging of tissue bio-impedance.
EIT is attractive for medical applications due to its ability to image fast physiological processes and map tissue electrical property contrasts.

Purpose of the Study:

To develop a modular 32-channel data acquisition (DAQ) system for advanced Electrical Impedance Tomography (EIT) medical imaging.
To enhance imaging speed and reduce data throughput requirements through hardware acceleration.

Main Methods:

Developed a modular 32-channel DAQ system using National Instruments' PXI chassis with FPGA, ADC, Signal Generator, and Timing modules.
Implemented dedicated FFT-hardware on an FPGA module for signal demodulation and spectral analysis of higher-order harmonics.
Designed a custom analog front end (AFE) for electrode interfacing and a wideband system (100 Hz to 12 MHz).

Main Results:

Achieved high frame rates by offloading computations to the FPGA, reducing FPGA-to-PC throughput by a factor of 32:1.
The system is capable of acquiring data across a wide frequency range (100 Hz to 12 MHz).
Demonstrated a modular hardware and software design for flexible clinical application configuration.

Conclusions:

The developed modular EIT DAQ system enables high-speed, flexible medical imaging.
FPGA-based hardware acceleration significantly improves data acquisition efficiency and throughput.
The system's wideband capability and modularity support diverse clinical imaging needs.