DocumentCode
3141424
Title
Simulation Study of Electrode System Optimization in Electrical Impedance Tomography
Author
Wang Yan ; Ren Chaoshi ; Zhao Shu ; Wang Lei ; Sha Hong
Author_Institution
Inst. of Biomed. Eng., Chinese Acad. of Med. Sci., Tianjin, China
fYear
2010
fDate
18-20 June 2010
Firstpage
1
Lastpage
4
Abstract
Electrode lies in the front of the Electrical impedance tomography (EIT) system and contacts with human body directly. It is one of the most sensitive and the pivotal parts of EIT system. The type and the configuration of electrode system influence the reconstruction image greatly, especially for the central area of body, where the measurement sensitivity is very low. A simulation platform is developed to optimize the electrode structure parameter based on the coercive equipotential nodes model for the imaging object of the deep area of body. The influences on the measurement sensitivity and the image reconstruction quality have been studied using different electrode types and configurations. The simulation results suggest that optimal selection of electrode types and configurations can helpfully increase the image quality and measurement sensitivity of the image especially in central area. Several type and configuration parameter of EIT electrode that fit for central object imaging are also presented.
Keywords
biomedical imaging; electric impedance imaging; image reconstruction; numerical analysis; tomography; central object imaging; configuration parameter; electrical impedance tomography; electrode structure parameter; electrode system optimization; equipotential nodes model; human body; image reconstruction; measurement sensitivity; reconstruction image; simulation study; Area measurement; Biomedical electrodes; Biomedical engineering; Biomedical imaging; Biomedical measurements; Chaos; Image quality; Image reconstruction; Impedance; Tomography;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location
Chengdu
ISSN
2151-7614
Print_ISBN
978-1-4244-4712-1
Electronic_ISBN
2151-7614
Type
conf
DOI
10.1109/ICBBE.2010.5517509
Filename
5517509
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