Date of Award
5-2021
Culminating Project Type
Thesis
Degree Name
Electrical Engineering: M.S.
Department
Electrical Engineering
College
College of Liberal Arts
First Advisor
Dr. Yi Zheng
Second Advisor
Dr. Mahbub Hossain
Third Advisor
Dr. Shensheng Tang
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Keywords and Subject Headings
EIT, FPGA, Zynq, C#, Low Frequency
Abstract
Electrical Impedance Tomography (EIT) is an imaging technique which is noninvasive and uses the internal conductivity distribution of the object of interest to form a tomographic image. It is performed by applying electrodes to the surface of the object. An alternating current up to frequency 10kHz is applied through a pair of electrodes, and the induced voltage is measured on other electrodes. These current and voltage values are used to reconstruct the internal conductivity distribution. The EIT imaging is increasingly getting used in clinical applications, as it is safer, portable, and low cost if compared with available imaging technologies used in clinical settings.
The goal of this project is to develop a low frequency Zynq SoC-based EIT system. A Zynq 7020 device-based development board, Zedboard, interfaced with a customized hardware circuit, is used to develop a complete EIT system. A graphical user interface is developed using C# Graphic User Interface (GUI) application to control the hardware and visualize the results. It is a twelve-electrode system, and current injection and voltage measurement is performed through Zynq SoC. There are two image reconstruction algorithms developed, Gauss Newton One Step and Total variation. The algorithms are implemented in Zynq SoC using software-hardware co-design. The algorithms are also implemented in C#. The image reconstruction performance between the two algorithms is compared. The computation performance between Zynq SoC implementation and C# implementation is also compared to understand the feasibility of FPGA implementation of EIT image reconstruction algorithms.
Recommended Citation
Sinare, Monali, "Very Low Frequency Electrical Impedance Tomography Image Reconstruction System Using FPGA Software-Hardware Co-design" (2021). Culminating Projects in Electrical Engineering. 5.
https://repository.stcloudstate.edu/ece_etds/5
