Simulation of effects of the electrode structure and material in the density measuring system of the peripheral nerve based on micro-electrical impedance tomography

2018 ◽  
Vol 63 (2) ◽  
pp. 151-161 ◽  
Author(s):  
Saber Behkami ◽  
Javad Frounchi ◽  
Firouz Ghaderi Pakdel ◽  
Thomas Stieglitz

AbstractThe electrode structure in micro-electrical impedance tomography (MEIT) highly influences the measurement sensitivity and therefore the reconstructed image quality. Hence, optimizing the electrode structure leads to the improvement of image quality in the reconstruction procedure. Although there have been many investigations on electrical impedance tomography (EIT) electrodes, there is no comprehensive study on their influence on images of the peripheral nerve. In this paper, we present a simulation method to study the effects of the electrode structure in the density measurement system of the peripheral nerve based on MEIT. The influence of the electrode structure such as dimensions, material and the number of electrodes and also the recognition feature of different radii of fascicle and different locations of fascicles has been studied. Data were reconstructed from the real and imaginary parts of complex conductivity data, respectively. It has been shown that the material of the electrodes had no effect on the reconstructed images, while the dimensions of the electrodes significantly affected the image sensitivity and thus the image quality. An increase in the number of electrodes increased the amount of data and information content. However, as the number of electrodes increased due to the given perimeter of the peripheral nerve, the area of the electrodes was reduced. This reduction affects the reconstructed image quality. The real and imaginary parts of the data were separately reconstructed for each case. Although, in real EIT systems, the reconstructed images using the real part of the signal have a better signal-to-noise ratio (SNR), this study proved that for a density measuring system of the peripheral nerve, the reconstructed images using the imaginary part of the signal had better quality. This simulation study proposes the effects of the electrode size and material and obtained spatial resolution that was high enough to reconstruct fascicles in a peripheral nerve.

2021 ◽  
Vol 2021 (9) ◽  
Author(s):  
A.V. Korjenevsky ◽  

The objective of this work is to present the first results of the development of an electrical impedance tomography system assembled from ready-made blocks with free software. Electrical impedance tomography is considered as a possible alternative and adjunct to computer tomography in lung diagnostics. One of the problems along this path is the mutual inaccessibility of equipment of an acceptable level for research physicians and of contacts with such physicians for the developers. An easily reproducible EIT hardware platform from ready-made modules and open source software have been developed and tested as an option for enthusiastic researchers who do not have sufficient experience to independently develop the hardware and software and the means to purchase expensive commercial devices. An evaluation board for an integrated bioimpedance meter, produced by the microcircuit manufacturer, is used to implement the main elements of the measuring system. The 16-channel multiplexers are also available as ready-made modules. A high-performance controller module based on a 32-bit system-on-chip ESP32 with built-in wireless interfaces has a compiler and SDK ported to the Arduino environment. This makes customization and testing of the embedded software possible for non-core professionals. Image reconstruction algorithms are available online on the Institute's server. Both dynamic (visualization of changes only) and static imaging are possible. The results of tomography system testing on the phantom and on the human body demonstrated the high quality of the data collected. Improving the speed of the measuring system and adding software functions, including the use of wireless interfaces for data transmission and direct interaction with the image reconstruction server are topical tasks.


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