DocumentCode
1967008
Title
Using Polynomial Curve Fitting Method to Improve Image Quality in EIT
Author
Zhang, Jianjun ; Xu, Guizhi ; Chen, Haiyan ; Zhao, Quanming ; Yan, Weili
Author_Institution
Hebei Univ. of Technol., Tianjin
fYear
0
fDate
0-0 0
Firstpage
439
Lastpage
439
Abstract
The polynomial curve fitting (PCF) method is used firstly on electrical impedance tomography (EIT) to find out the polynomial function of boundary potential distribution according to the measured data in this work. The potential values calculated from the polynomial function can be regarded as measured data. So enough data can be provided to satisfy the requirements of various algorithms. The potential distribution within the domain is obtained approximately according to the equi-potential property. Without adding the electrode number and changing data collection strategy, more data can be obtained and regarded as measured data by using the PCF method. With these enough data, the quality of reconstructed image is improved obviously
Keywords
curve fitting; electric impedance imaging; image reconstruction; polynomials; EIT; boundary potential distribution; electrical impedance tomography; equipotential property; image quality; image reconstruction; polynomial curve fitting method; polynomial function; Current measurement; Curve fitting; Electrodes; Focusing; Image quality; Image reconstruction; Impedance measurement; Polynomials; Tomography; Voltage measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Electromagnetic Field Computation, 2006 12th Biennial IEEE Conference on
Conference_Location
Miami, FL
Print_ISBN
1-4244-0320-0
Type
conf
DOI
10.1109/CEFC-06.2006.1633229
Filename
1633229
Link To Document