Comparison Study of Three Different Image Reconstruction Algorithms for MAT-MI

In this paper, we report a theoretical study on magnetoacoustic tomography with magnetic induction (MAT-MI). According to the description of signal generation mechanism using Green's function, the acoustic dipole model was proposed to describe acoustic source excited by the Lorentz force. Using Green's function, three kinds of reconstruction algorithms based on different models of acoustic source (potential energy, vectored acoustic pressure, and divergence of Lorenz force) are deduced and compared, and corresponding numerical simulations were conducted to compare these three kinds of reconstruction algorithms. The computer simulation results indicate that the potential energy method and vectored pressure method can directly reconstruct the Lorentz force distribution and give a more accurate reconstruction of electrical conductivity.

[1]  Bin He,et al.  Investigation on magnetoacoustic signal generation with magnetic induction and its application to electrical conductivity reconstruction , 2007, Physics in medicine and biology.

[2]  H. Griffiths.  Magnetic induction tomography , 2001 .

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

[4]  M D Harpen.  Eddy current distributions in cylindrical samples: effect on equivalent sample resistance. , 1989, Physics in medicine and biology.

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

[6]  Sheng-Wen Huang,et al.  Cardiac activation mapping using ultrasound current source density imaging (UCSDI) , 2009, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

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

[8]  Minghua Xu,et al.  Time-domain reconstruction for thermoacoustic tomography in a spherical geometry , 2002, IEEE Transactions on Medical Imaging.

[9]  Xu Li,et al.  Imaging Electrical Impedance From Acoustic Measurements by Means of Magnetoacoustic Tomography With Magnetic Induction (MAT-MI) , 2007, IEEE Transactions on Biomedical Engineering.

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

[11]  Lihong V. Wang,et al.  Effects of acoustic heterogeneity on the breast thermoacoustic tomography , 2003, SPIE BiOS.

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

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

[14]  C. Gabriel,et al.  Electrical conductivity of tissue at frequencies below 1 MHz , 2009, Physics in medicine and biology.

[15]  Lihong V. Wang,et al.  Noninvasive laser-induced photoacoustic tomography for structural and functional in vivo imaging of the brain , 2003, Nature Biotechnology.

[16]  Xu Li,et al.  Reconstruction of Vectorial Acoustic Sources in Time-Domain Tomography , 2009, IEEE Transactions on Medical Imaging.

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

[18]  Malcolm J. Crocker,et al.  Handbook of Acoustics , 1998 .

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

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

[21]  Bradley J. Roth,et al.  The Effect of Electrical Anisotropy During Magnetoacoustic Tomography With Magnetic Induction , 2008, IEEE Transactions on Biomedical Engineering.

[22]  Bin He,et al.  Magnetoacoustic tomographic imaging of electrical impedance with magnetic induction. , 2007, Applied physics letters.

[23]  Yuan Xu,et al.  Effects of acoustic heterogeneity in breast thermoacoustic tomography , 2003, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

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