DocumentCode :
18169
Title :
Four-Terminal Imaging Using a Two-Terminal Electrical Impedance Tomography System
Author :
Jianjun Chen ; Lijun Xu ; Zhang Cao ; Haili Zhou
Author_Institution :
Key Lab. of Precision Opto-Mechatron. Technol., Beihang Univ., Beijing, China
Volume :
63
Issue :
2
fYear :
2014
fDate :
Feb. 2014
Firstpage :
432
Lastpage :
440
Abstract :
Electrical impedance tomography (EIT) is a promising visualization measurement technique to reconstruct media distribution in a region of interest (ROI) through impedance measurements on its boundary. In this paper, a two-to-four-terminal mode is proposed for a two-terminal EIT system to take advantage of the four-terminal imaging mechanism. Using the two-to-four-terminal mode, data are acquired using the two-terminal EIT system, whereas the imaging mechanism is based on the four-terminal mode. To realize four-terminal imaging using a two-terminal EIT system, the mapping formulas of data from the two- to four-terminal mode and vice versa are derived. A novel imaging method based on two-to-four-terminal mode is proposed to decrease the ill conditionedness of the relevant inverse problem and implemented with the conjugate gradient iteration algorithm and the Tikhonov regularization algorithm, respectively. Simulation and experimental results validate the feasibility and effectiveness of the proposed method in reconstructing inclusions within the ROI clearly and exactly in both shape and location. Compared with the method based on two-terminal mode, the quality of the images reconstructed using the proposed method can be improved in terms of contrast, resolution, and antiartifact, i.e., reducing the artifacts in the reconstructed images, especially when distinguishing complicated distributions. Meanwhile, the imaging speed is also increased. Moreover, the availability of four-terminal imaging mechanism in a two-terminal EIT system makes it more flexible to choose an appropriate mode according to the application requirements and available instruments.
Keywords :
conjugate gradient methods; data acquisition; electric impedance imaging; image reconstruction; image sensors; inverse problems; iterative methods; EIT sensor; ROI; Tikhonov regularization algorithm; conjugate gradient iteration algorithm; data acquisition; data mapping formula; four-terminal imaging mechanism; image reconstruction; impedance measurement; location reconstruction; media distribution reconstruction; region of interest; relevant inverse problem; shape reconstruction; two-terminal EIT system; two-terminal electrical impedance tomography system; two-to-four-terminal mode; visualization measurement technique; Electrodes; Image reconstruction; Impedance; Sensitivity; Tomography; Voltage measurement; Conjugate gradient iteration algorithm; Tikhonov regularization algorithm; electrical impedance tomography (EIT); image reconstruction; impedance measurement; inverse problem; sensitivity; two-to-four-terminal mode;
fLanguage :
English
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9456
Type :
jour
DOI :
10.1109/TIM.2013.2280483
Filename :
6605579
Link To Document :
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