A new Image Reconstruction Algorithm for Magnetic Resonance Electrical Impedance Tomography Using one Component of Measured Magnetic Field

In this paper, a new conductivity images reconstruction algorithm for Magnetic Resonance Electrical Impedance Tomography (MR-EIT) is proposed. The algorithm doesn't need to rotate mechanically the imaged object and can image the conductivity distribution of object at oblique slice. The proposed reconstruction algorithm in this paper is more applicable than other MR-EIT reconstruction algorithms using one component of magnetic flux density. It is not necessary that the main magnetic field is perpendicular to the imaging slice, and so can be used for permanent MRI scanners as well as superconductive MRI scanners.