Comparing Reconstruction Algorithms for Electrical Impedance Tomography

1987 ◽  
Vol BME-34 (11) ◽  
pp. 843-852 ◽  
Author(s):  
Thomas J. Yorkey ◽  
John G. Webster ◽  
Willis J. Tompkins
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.


2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Fei Yang ◽  
Jie Zhang ◽  
Robert Patterson

Electrical impedance tomography (EIT) has the potential to provide a low cost and safe imaging modality for clinically monitoring patients being treated with mechanical ventilation. Variations in reconstruction algorithms at different clinical settings, however, make interpretation of regional ventilation across institutions difficult, presenting the need for a unified algorithm for thoracic EIT reconstruction. Development of such a consensual reconstruction algorithm necessitates a forward model capable of predicting surface impedance measurements as well as electric fields in the interior of the modeled thoracic volume. In this paper, we present an anatomically realistic forward solver for thoracic EIT that was built based on high resolution MR image data of a representative adult. Accuracy assessment of the developed forward solver in predicting surface impedance measurements by comparing the predicted and observed impedance measurements shows that the relative error is within the order of 5%, demonstrating the ability of the presented forward solver in generating high-fidelity surface thoracic impedance data for thoracic EIT algorithm development and evaluation.


Author(s):  
Wellington Pinheiro dos Santos ◽  
Ricardo Emmanuel de Souza ◽  
Reiga Ramalho Ribeiro ◽  
Allan Rivalles Souza Feitosa ◽  
ValterAugusto de Freitas Barbosa ◽  
...  

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