A novel combination method of electrical impedance tomography inverse problem for brain imaging

Abstract

A novel method combined differential evolution algorithm and modified Newton-Raphson method is proposed in this paper to solve the electrical impedance tomography (EIT) inverse problem. This method is applied to the two-dimensional impedance reconstruction of brain section based on a four-layer concentric circle model and real head geometric model. Our simulations demonstrate that the novel combination method is robust and time saving in obtaining high-quality reconstruction in EIT problems for brain imaging studied in this paper.