Electrical impedance image reconstruction using the genetic algorithm

In this paper, a genetic based reconstruction algorithm (GA) is proposed for producing the electrical impedance image. This method has the potential in parallelized hardware implementation. The impedance image reconstruction is cast as a minimization problem. The cost function is defined as the errors between the measured and estimated boundary voltages in least square sense. The image is considered as the bit strings. From the results, it is demonstrated to be feasible for producing the dynamic image. In order to reduce the number of degrees of freedom of this proposed method, a guided technique based upon the voltage measurements is also designed. In addition, the noise effect of the voltage measurement is also investigated. From the simulation results, the proposed algorithm has the some extent of the noise immunity.