DocumentCode
1367356
Title
Evaluation of Effect of Number of Electrodes in ECT Sensors on Image Quality
Author
Peng, Lihui ; Ye, Jiamin ; Lu, Geng ; Yang, Wuqiang
Author_Institution
Dept. of Autom., Tsinghua Univ., Beijing, China
Volume
12
Issue
5
fYear
2012
fDate
5/1/2012 12:00:00 AM
Firstpage
1554
Lastpage
1565
Abstract
It is commonly assumed that the use of more electrodes in an electrical capacitance tomography (ECT) sensor would result in higher resolution images. In this paper, the issues with the number of electrodes will be discussed. To investigate the effect of the number of electrodes on the quality of reconstructed images, ECT sensors with different number of electrodes-4, 8, 12, 16, 20, 24, and 32-are investigated. The capacitance between different electrode pairs is calculated for some typical permittivity distributions using a finite element method. The obtained capacitance data are then used to reconstruct images using the projected Landweber iteration algorithm based on both linear and semi-linear ECT models. The sensitivity distributions for the ECT sensors with different number of electrodes are analyzed. The main conclusion is that limited new information can be obtained and little improvement in the quality of images be achieved if the number of electrodes is more than 12.
Keywords
capacitance measurement; capacitive sensors; computerised tomography; electrodes; finite element analysis; image reconstruction; image resolution; image sensors; iterative methods; ECT sensors; electrical capacitance tomography sensor; electrodes; finite element method; image quality; image reconstruction; permittivity distributions; projected Landweber iteration algorithm; semilinear ECT models; Capacitance; Electrodes; Image reconstruction; Image sensors; Permittivity; Sensitivity; Sensors; Capacitance sensor; Landweber iteration; electrical capacitance tomography; image reconstruction;
fLanguage
English
Journal_Title
Sensors Journal, IEEE
Publisher
ieee
ISSN
1530-437X
Type
jour
DOI
10.1109/JSEN.2011.2174438
Filename
6069522
Link To Document