Yang Yanju

Vector Based Reconstruction Method in Magneto-Acousto-Electrical Tomography with Magnetic Induction

Magneto-acousto-electrical tomography with magnetic induction (MAET-MI) is an imaging modality proposed for noninvasive conductivity imaging of high spatial resolution. A conductivity reconstruction algorithm based on the current vector is presented in the MAET-MI. Firstly, the fundamental mechanism of the MAET-MI is introduced in both the forward and the inverse problems. Then the orthogonal matching pursuit algorithm is implemented to reconstruct the current vector according to the reciprocal theorem. Furthermore, the two components of the current vector are employed to reconstruct the conductivity, which is based on the proposed logarithmic reconstruction algorithm. Lastly, a computer simulation is conducted to show the capability and the reliability of the proposed method in the conductivity reconstruction.