A RECONSTRUCTION ALGORITHM FOR HEAD 3D MAGNETIC RESONANCE ELECTRICAL IMPEDANCE TOMOGRAPHY: SIMULATION STUDY
头部组织三维核磁共振电阻抗成像算法的仿真研究

In the paper, an algebraic reconstruction algorithm based on magnetic resonance electrical impedance tomography was presented for 3-dimensional (3D) electrical impedance tomography, especially to image the 3D continuous impedance distribution of the head tissues. In this method, the MRI system with high resolution was used to set up the 3D model of the object and to identify the boundary of dif-ferent tissues. Then a non-linear matrix was composed of the measured magnetic flux density Bz and By combined with the current density J gained from the numerical computation by the finite element method. The solution of the non-linear matrix, which was solved iteratively, wass the reconstruction elec-trical impedance tomography. Numerical simulations were performed on a concentric three-sphere head model (scalp-skull-brain model). The results show that the 3D continuous conductivity reconstruction method has higher accuracy, fast convergence ability and better robustness against noise.