Difference frequency magneto-acousto-electrical tomography (DF-MAET): application of ultrasound-induced radiation force to imaging electrical current density

Magneto-acousto-electrical tomography (MAET) is a potential imaging modality which can provide high-spatial-resolution images of the impedance of conductive media. In MAET, the impedance is reconstructed from the mapped current density distribution Jab(r) that would exist in a sample if a current/voltage source were to be applied through measurement electrodes a and b. To map Jab(r) without applying a current/voltage source, the sample is placed in a static magnetic field and a focused ultrasonic pulse is directed to a point r to generate a point-like dipole source via the Lorentz force mechanism. The MAET voltage Uab, which is directly proportional to Jab(r), is measured through electrodes a and b for each scanning point. To reconstruct the electrical impedance, we need to map the current density distribution at every point inside the sample. However, with the MAET experimental setup reported in our previous paper on MAET, the MAET signal from a homogenous interior of the sample is undetectable because of the spatially-oscillating nature of the ultrasound field inside the sample. In this paper, we propose to use dual-frequency ultrasound to generate the MAET signal at the difference frequency through the ultrasound radiation force mechanism. The dynamic radiation force causes vibrations inside the sample (and consequently, generates the electric field) with a wavelength much larger than the dimension of the sample along the transducer's axis. Therefore, the MAET signal caused by the radiation force will not be canceled out. We create a dynamic radiation force by applying an amplitude-modulated signal with a modulation frequency fm of several kilohertz and a carrier frequency f0 of 2.25 MHz to drive the transducer. The dependence of the DF-MAET signal in experiments on the modulation frequency and on the density of the sample agrees with the prediction based on the radiation force mechanism. The spatial resolution of DF-MAET is also studied to verify the radiation force mechanism. Finally, we will prove that the parametric effect in the coupling oil is not a significant source of the DF-MAET signal by imaging a sample at different distances from the transducer. Potential improvements to the present DF-MAET experimental configuration are also discussed.

[1]  Mostafa Fatemi,et al.  Image formation in vibro-acoustography with depth-of-field effects , 2006, Comput. Medical Imaging Graph..

[2]  S. Ballantine,et al.  Reciprocity in Electromagnetic, Mechanical, Acoustical, and Interconnected Systems , 1929, Proceedings of the Institute of Radio Engineers.

[3]  Byung Il Lee,et al.  J-substitution algorithm in magnetic resonance electrical impedance tomography (MREIT): phantom experiments for static resistivity images , 2002, IEEE Transactions on Medical Imaging.

[4]  Gregg E. Trahey,et al.  A Finite Element Model of Remote Palpation of Breast Lesions Using Radiation Force: Factors Affecting Tissue Displacement , 2000, Ultrasonic imaging.

[5]  David Isaacson,et al.  Electrical Impedance Tomography , 2002, IEEE Trans. Medical Imaging.

[6]  K. Ellis Human body composition: in vivo methods. , 2000, Physiological reviews.

[7]  S. Emelianov,et al.  Shear wave elasticity imaging: a new ultrasonic technology of medical diagnostics. , 1998, Ultrasound in medicine & biology.

[8]  J. Jossinet Variability of impedivity in normal and pathological breast tissue , 1996, Medical and Biological Engineering and Computing.

[9]  A Korjenevsky,et al.  Magnetic induction tomography: experimental realization. , 2000, Physiological measurement.

[10]  D. Djajaputra Electrical Impedance Tomography: Methods, History and Applications , 2005 .

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

[12]  M. Fink,et al.  Ultrafast imaging of beamformed shear waves induced by the acoustic radiation force. Application to transient elastography , 2002, 2002 IEEE Ultrasonics Symposium, 2002. Proceedings..

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

[14]  H Wen Feasibility of Biomedical Applications of Hall Effect Imaging , 2000, Ultrasonic imaging.

[15]  J Jossinet,et al.  Scanning Electric Conductivity Gradients with Ultrasonically-Induced Lorentz Force , 2001, Ultrasonic imaging.

[16]  J. Greenleaf,et al.  Ultrasound-stimulated vibro-acoustic spectrography. , 1998, Science.

[17]  H. Lackner,et al.  Magnetic induction tomography: hardware for multi-frequency measurements in biological tissues. , 2001, Physiological measurement.

[18]  Manuchehr Soleimani,et al.  Absolute Conductivity Reconstruction in Magnetic Induction Tomography Using a Nonlinear Method , 2006, IEEE Transactions on Medical Imaging.

[19]  Gregg Trahey,et al.  Acoustic radiation force impulse imaging: in vivo demonstration of clinical feasibility. , 2002, Ultrasound in medicine & biology.

[20]  Y. Xu,et al.  Magneto-acousto-electrical tomography: a potential method for imaging current density and electrical impedance. , 2008, Physiological measurement.

[21]  Angela W. Ma,et al.  Current Density Impedance Imaging , 2008, IEEE Transactions on Medical Imaging.

[22]  Byung Il Lee,et al.  Conductivity and current density image reconstruction using harmonic Bz algorithm in magnetic resonance electrical impedance tomography. , 2003, Physics in medicine and biology.

[23]  D. Hall Review Nonlinearity in piezoelectric ceramics , 2001 .

[24]  Matthew O'Donnell,et al.  Imaging current flow in lobster nerve cord using the acoustoelectric effect , 2007 .

[25]  Lihong V. Wang,et al.  Acousto-electric tomography , 2004, SPIE BiOS.

[26]  Hermann Scharfetter,et al.  Single-Step 3-D Image Reconstruction in Magnetic Induction Tomography: Theoretical Limits of Spatial Resolution and Contrast to Noise Ratio , 2006, Annals of Biomedical Engineering.

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

[28]  Ozlem Birgul,et al.  Contrast and spatial resolution in MREIT using low amplitude current , 2006, Physics in medicine and biology.

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