Back-Projection Reconstruction Algorithm for Magnetic Induction Tomography Based on Magnetic Field Lines Distribution

Magnetic induction tomography is a non-invasive imaging technology for visualization of the electrical property inside inhomogeneous media. In this paper, a back-projection image reconstruction algorithm based on the magnetic field lines distribution is presented. Firstly, the eddy current problem of MIT was solved by the finite element method. Secondly, the back-projection areas were divided based on the magnetic field lines distribution. Finally, image reconstruction was realized by projecting the phase shifts which were detected by detection coils along the projection areas. The results have shown that the back-projection algorithm for MIT performs well in reflecting the location and shape information of the perturbation.