This paper describes a method of reducing the influence of the data error caused by non-ideal boundary shape and electrode placement on reconstructed images. A data calibration and a modified Newton-Raphson reconstruction are combined in the method to ensure rapid convergence and small reconstruction error. The method is verified by the simulated data of a 2D software phantom and the practical measurements of a cylindrical saline tank.
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LI Jian-hua (1994) studied this question.
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