Detecting Human Head Conductivity Distribution Using One Component Magnetic Flux Density

We propose a novel magnetic resonance electrical impedance tomography (MREIT) algorithm, RBF-MREIT algorithm and apply it to reconstruct the conductivity distribution of human head. Computer simulations are conducted on a three-sphere head model to test the feasibility of the proposed algorithm. The simulation results demonstrate that the RBF-MREIT algorithm can estimate the conductivity values within the head using only one component of the magnetic flux density