Research On Image Reconstruction Algorithm Based On Electrical Impedance Tomography System

Using Electrical Impedance Tomography(EIT) in medical imaging is an important researchdirection of biomedical engineering field.Due to the advantages of being non-intrusive andscatheless,real time imaging,simple structure and low cost,EIT has wide foreground for applicationin the field of clinical monitoring.Although great progress has been made in EIT technique in thepast three decades,images in terms of good quality and distinguishability to match the clinicalrequest have not been achieved because of the inverse problem is ill-conditioned.In this paper,the image reconstruction algorithm of Electrical Impedance Tomography system isstudied.the main work is given as follows:Firstly,the mathematical model of Electrical Impedance Tomography system is inferred,atheoretical model of forward problem is established by using finite element method.It illustrates theinfluence of the alteration of conductivity distribution on the electrode.Secondly,the Gauss-Newton algorithm modified by Tikhonov regularization method and amixed algorithm of standard Particle Swarm Optimization and Tikhonov regularized Gauss-Newtonalgorithm are proposed and the images are reconstructed.Finally,an experimental system is built to collect data and the images are reconstructed.The result of numerical simulation and data collection experiment shows that the algorithmsadopted in this paper can accurately reflect the conductivity distribution and locate the target.