Detecting Human Head Conductivity Distribution by Means of a RSM-MREIT Algorithm

摘要

We have developed a new Magnetic Resonance Electrical Impedance Tomography (MREIT) algorithm, RSM-MREIT. This new algorithm uses Response Surface Methodology (RSM) and Simplex method to reconstruct subject's conductivity distribution. RSM-MREIT algorithm uses only one component of the measured magnetic flux density to reconstruct the conductivity images, and, consequently, solves the rotation problem in MREIT. The proposed algorithm is tested on a three-sphere head model and the simulation results suggest that the proposed algorithm can reconstruct the conductivity distribution with high accuracy.