Magneto-acoustic imaging by continuous-wave excitation

The electrical characteristics of tissue yield valuable information for early diagnosis of pathological changes. Magneto-acoustic imaging is a functional approach for imaging of electrical conductivity. This study proposes a continuous-wave magneto-acoustic imaging method. A kHz-range continuous signal with an amplitude range of several volts is used to excite the magneto-acoustic signal and improve the signal-to-noise ratio. The magneto-acoustic signal amplitude and phase are measured to locate the acoustic source via lock-in technology. An optimisation algorithm incorporating nonlinear equations is used to reconstruct the magneto-acoustic source distribution based on the measured amplitude and phase at various frequencies. Validation simulations and experiments were performed in pork samples. The experimental and simulation results agreed well. While the excitation current was reduced to 10 mA, the acoustic signal magnitude increased up to 10−7 Pa. Experimental reconstruction of the pork tissue showed that the image resolution reached mm levels when the excitation signal was in the kHz range. The signal-to-noise ratio of the detected magneto-acoustic signal was improved by more than 25 dB at 5 kHz when compared to classical 1 MHz pulse excitation. The results reported here will aid further research into magneto-acoustic generation mechanisms and internal tissue conductivity imaging.

[1]  Bradley J. Roth,et al.  The potential induced in anisotropic tissue by the ultrasonically-induced Lorentz force , 2008, Medical & Biological Engineering & Computing.

[2]  Feng Zhang,et al.  Acoustic dipole radiation based conductivity image reconstruction for magnetoacoustic tomography with magnetic induction , 2012 .

[3]  Bradley J. Roth,et al.  The movement of a nerve in a magnetic field: application to MRI Lorentz effect imaging , 2014, Medical & Biological Engineering & Computing.

[4]  Bin He,et al.  Magnetoacoustic tomography with magnetic induction for high-resolution bioimepedance imaging through vector source reconstruction under the static field of MRI magnet. , 2014, Medical physics.

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

[6]  Xin Huang,et al.  Magnetoacoustic tomography with current injection , 2013 .

[7]  Amin Arbabian,et al.  Frequency-Modulated Magneto-Acoustic Detection and Imaging: Challenges, Experimental Procedures, and B-Scan Images , 2014 .

[8]  Guy Cloutier,et al.  Acousto-electrical speckle pattern in Lorentz force electrical impedance tomography. , 2015, Physics in medicine and biology.

[9]  Sun Xiao-dong,et al.  Reception pattern influence on magnetoacoustic tomography with magnetic induction , 2015 .

[10]  Zhipeng Liu,et al.  A study of acoustic source generation mechanism of Magnetoacoustic Tomography , 2014, Comput. Medical Imaging Graph..

[11]  X Li Multi-excitation magnetoacoustic tomography with magnetic induction ( MAT-MI ) , 2009 .

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

[13]  Bradley J Roth,et al.  The role of magnetic forces in biology and medicine , 2011, Experimental biology and medicine.

[14]  Jong Seob Jeong,et al.  Electromagnetic acoustic imaging , 2013, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[15]  M. Powell A New Algorithm for Unconstrained Optimization , 1970 .

[16]  Bin He,et al.  Magnetoacoustic imaging of human liver tumor with magnetic induction. , 2011, Applied physics letters.

[17]  N. Narayana Rao,et al.  Elements of engineering electromagnetics , 1977 .

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

[19]  J. Scofield Frequency‐domain description of a lock‐in amplifier , 1994 .

[20]  Bin He,et al.  Magnetoacoustic Imaging of Electrical Conductivity of Biological Tissues at a Spatial Resolution Better than 2 mm , 2011, PloS one.

[21]  Yuan Xu,et al.  Difference frequency magneto-acousto-electrical tomography (DF-MAET): application of ultrasound-induced radiation force to imaging electrical current density , 2010, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[22]  T. Hughes,et al.  Signals and systems , 2006, Genome Biology.

[23]  Eko Supriyanto,et al.  Measurement of bioelectric and acoustic profile of breast tissue using hybrid magnetoacoustic method for cancer detection , 2013, Medical & Biological Engineering & Computing.

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

[25]  B.A. Baertlein,et al.  Authors' reply [to comments on "Theoretical model for an MRI radio frequency resonator"] , 1994, IEEE Transactions on Biomedical Engineering.

[26]  Edwin C. Craig Electronics via Waveform Analysis , 1993 .

[27]  J. Jossinet,et al.  Electric current generated by ultrasonically induced Lorentz force in biological media , 2006, Medical and Biological Engineering and Computing.