Using Polynomial Curve Fitting Method to Improve Image Quality in EIT

The Polynomial Curve Fitting Method (PCFM) 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 equipotential property. Without adding the electrode number and changing data collection strategy, more data can be obtained and regarded as measured data by using the PCFM. With these enough data, the quality of reconstructed image is improved obviously.

[2]  Ning Liu,et al.  A multichannel synthesizer and voltmeter for electrical impedance tomography , 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

[3]  K. Boone,et al.  Imaging with electricity: report of the European Concerted Action on Impedance Tomography. , 1997, Journal of medical engineering & technology.

[4]  David Barber,et al.  Three dimensional electrical impedance tomography of the human thorax , 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[5]  Michael Vogelius,et al.  A backprojection algorithm for electrical impedance imaging , 1990 .