A method of reducing the error caused by boundary shape and electrode positions in electrical impedance tomography

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.