DocumentCode
2487170
Title
A PXI based system for electrical impedance tomography
Author
Pisa, Stefano ; Piuzzi, Emanuele
Author_Institution
Dept. of Inf. Eng., Electron. & Telecommun., Sapienza Univ. of Rome, Rome, Italy
fYear
2011
fDate
30-31 May 2011
Firstpage
49
Lastpage
54
Abstract
In this paper, a PXI based system for electrical impedance tomography (EIT) will be presented. A virtual instrument based on the PXI platform is used to inject current and to acquire voltage data on a 16 electrode perspex phantom filled with saline or gelled solutions that mimic human body tissues. The admittance method is used for the solution of the direct problem and a modified Newton-Raphson algorithm is used for the image reconstruction. Experimental measurements have been performed on saline or gelled solutions to establish a link between the salt concentration and the solution conductivity. A set of measurements has been performed on phantoms simulating, at various levels of approximation, the human body anatomy. The results indicate that the proposed EIT system is efficient and accurate. Moreover its modular structure makes it possible to test various data collection protocols and inversion algorithms.
Keywords
Newton-Raphson method; bioelectric phenomena; electric impedance imaging; image reconstruction; medical computing; medical image processing; phantoms; virtual instrumentation; EIT; PXI based system; PXI platform; admittance method; current injection; direct problem solution; electrical impedance tomography; human body tissue perspex phantom; image reconstruction; modified Newton-Raphson algorithm; salt concentration; solution conductivity; virtual instrument; voltage data acquisition; Conductivity; Current measurement; Electrodes; Image reconstruction; Phantoms; Tomography; Voltage measurement; PXI; electrical impedance tomography; phantom materials;
fLanguage
English
Publisher
ieee
Conference_Titel
Medical Measurements and Applications Proceedings (MeMeA), 2011 IEEE International Workshop on
Conference_Location
Bari
Print_ISBN
978-1-4244-9336-4
Type
conf
DOI
10.1109/MeMeA.2011.5966693
Filename
5966693
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