Imaging Electrical Impedance From Acoustic Measurements by Means of Magnetoacoustic Tomography With Magnetic Induction (MAT-MI)

We have conducted computer simulation and experimental studies on magnetoacoustic-tomography with magnetic induction (MAT-MI) for electrical impedance imaging. In MAT-MI, the object to be imaged is placed in a static magnetic field, while pulsed magnetic stimulation is applied in order to induce eddy current in the object. In the static magnetic field, the Lorentz force acts upon the eddy current and causes acoustic vibrations in the object. The propagated acoustic wave is then measured around the object to reconstruct the electrical impedance distribution. In the present simulation study, a two-layer spherical model is used. Parameters of the model such as sample size, conductivity values, strength of the static and pulsed magnetic field, are set to simulate features of biological tissue samples and feasible experimental constraints. In the forward simulation, the electrical potential and current density are solved using Poisson's equation, and the acoustic pressure is calculated as the forward solution. The electrical impedance distribution is then reconstructed from the simulated pressure distribution surrounding the sample. The present computer simulation results suggest that MAT-MI can reconstruct conductivity images of biological tissue with high spatial resolution and high contrast. The feasibility of MAT-MI in providing high spatial resolution images containing impedance-related information has also been demonstrated in a phantom experiment

[1]  Ohin Kwon,et al.  Magnetic resonance electrical impedance tomography (MREIT): simulation study of J-substitution algorithm , 2002, IEEE Transactions on Biomedical Engineering.

[2]  D. Isaacson,et al.  A reconstruction algorithm for electrical impedance tomography data collected on rectangular electrode arrays , 1999, IEEE Transactions on Biomedical Engineering.

[3]  Bin He,et al.  Magnetoacoustic tomography with magnetic induction (MAT-MI) , 2005, Physics in medicine and biology.

[4]  Peter Basser,et al.  A theoretical model for magneto-acoustic imaging of bioelectric currents , 1994, IEEE Transactions on Biomedical Engineering.

[5]  Lihong V. Wang,et al.  Time reversal and its application to tomography with diffracting sources. , 2004, Physical review letters.

[6]  J. Shah,et al.  Hall effect imaging , 1998, IEEE Transactions on Biomedical Engineering.

[7]  D. C. Barber,et al.  Three-dimensional electrical impedance tomography , 1996, Nature.

[8]  T A Whittingham,et al.  The use of measured acoustic speed distributions in reflection ultrasound CT , 1992 .

[9]  B. He High-resolution Functional Source and Impedance Imaging , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[10]  P. Morse,et al.  Methods of theoretical physics , 1955 .

[11]  M. Joy,et al.  In vivo detection of applied electric currents by magnetic resonance imaging. , 1989, Magnetic resonance imaging.

[12]  Joaquim Ferreira,et al.  An overview of electromagnetic inductance tomography: Description of three different systems , 1996 .

[13]  Bin He,et al.  Modeling and imaging of bioelectrical activity : principles and applications , 2004 .

[14]  F. Duck Physical properties of tissue , 1990 .

[15]  D. A. Dunnett Classical Electrodynamics , 2020, Nature.

[16]  M.R. Islam,et al.  A magneto-acoustic method for the noninvasive measurement of bioelectric currents , 1988, IEEE Transactions on Biomedical Engineering.

[17]  Kevin Paulson,et al.  Optimal experiments in electrical impedance tomography , 1993, IEEE Trans. Medical Imaging.