DocumentCode
3561344
Title
A New Electrode Mode for Magnetic Detection Electrical Impedance Tomography: Computer Simulation Study
Author
Li, Gang ; Hao, Liling ; Chen, Ruijuan ; Lin, Ling
Author_Institution
Coll. of Precision Instrum. & Opto-Electron. Eng., Tianjin Univ., Tianjin, China
Volume
48
Issue
10
fYear
2012
Firstpage
2543
Lastpage
2550
Abstract
The authors propose a new electrode mode for magnetic detection electrical impedance tomography (MDEIT). MDEIT is a new EIT imaging technique that aims to reconstruct the conductivity distribution using the external magnetic flux density. Based on the forward solver and image reconstruction algorithms, the feasibility of a new electrode mode, called annular electrode mode, is tested. The simulation experiments´ results show that this electrode mode can produce a similar effect with the longitudinal current, making the z direction current density image on the xy plane consistent with the corresponding conductivity image. With the electrode mode, we can infer the conductivity distribution from the current density image. Consequently, MDEIT can be simplified to magnetic detection current density imaging (MDCDI) shortening the data measurement time and image reconstruction time and making a step towards developing MDEIT as a rapid imaging technique.
Keywords
biomedical electrodes; current density; electric impedance imaging; image reconstruction; magnetic flux; EIT imaging technique; MDEIT; annular electrode mode; computer simulation; conductivity distribution; conductivity image; data measurement time; electrode mode feasibility; external magnetic flux density; forward solver; image reconstruction algorithms; image reconstruction time; longitudinal current; magnetic detection current density imaging MDCDI; magnetic detection electrical impedance tomography; rapid imaging technique; xy plane; z direction current density image; Conductivity; Current density; Electrodes; Image reconstruction; Magnetic flux density; Numerical models; Tomography; Annular electrode mode; current density imaging; inverse problem; magnetic detection electrical impedance tomography;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
Conference_Location
5/22/2012 12:00:00 AM
ISSN
0018-9464
Type
jour
DOI
10.1109/TMAG.2012.2200692
Filename
6203590
Link To Document