No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
The full text of this article is not currently available.
Acoustic dipole radiation based electrical impedance contrast imaging approach of magnetoacoustic tomography with magnetic induction
1. K. Paulson, W. Lionheart, and M. Pidecock, “Optimal experiments in electrical impedance tomography,” IEEE Trans. Med. Imaging 12, 681–686 (1993).
3. P. Metherall, D. C. Barber, R. H. Smallwood, and B. H. Brown, “Three dimensional electrical impedance tomography,” Nature (London) 380, 509–512 (1996).
4. A. Hartov, P. LePivert, N. Soni, and K. Paulsen, “Using multiple-electrode impedance measurements to monitor cryosurgery,” Med. Phys. 29(12), 2806–2814 (2002).
6. O. Kwon, E. J. Woo, J. R. Yoon, and J. K. Seo, “Magnetic resonance electrical impedance tomography (MREIT): Simulation study of J-substitution algorithm,” IEEE Trans. Biomed. Eng. 49, 160–167 (2002).
7. Y. Z. Ider and S. Onart, “Algebraic reconstruction for 3D magnetic resonance-electrical impedance tomography (MREIT) using one component of magnetic flux density,” Physiol. Meas. 25, 281–294 (2004).
8. N. Gao and B. He, “Noninvasive imaging of bioimpedance distribution by means of current reconstruction magnetic resonance electrical impedance tomography,” IEEE Trans. Biomed. Eng. 55, 1530–1538 (2008).
9. S. Al-Zeibak, D. Goss, G. Lyon, Z. Z. Yu, A. J. Peyton, and M. S. Beck, “A feasibility study of electromagnetic inductance tomography,” in Proceedings of the 9th International Conference on Electrical Bio-impedance, Heidelberg, 1995 (Springer-Verlag, Berlin Heidelberg, 1995), pp. 426–429.
10. H. Grifﬁths, W. R. Stewart, and W. Gough, “Magnetic induction tomography: Measurements with a single channel,” in Proceedings of the 10th International Conference on Electrical Bio-impedance, Barcelona, 1998 (Springer-Verlag, Berlin Heidelberg, 1998), pp. 361–364.
12. X. Li, Y. Xu, and B. He, “Imaging electrical impedance from acoustic measurements by means of magnetoacoustic tomography with magnetic induction (MAT-MI),” IEEE Trans. Biomed. Eng. 54, 323–330 (2007).
13. R. Xia, X. Li, and B. He, “Magnetoacoustic tomographic imaging of electrical impedance with magnetic induction,” Appl. Phys. Lett. 91, 083903 (2007).
14. X. Li, X. Li, S. Zhu, and B. He, “Solving the forward problem of magnetoacoustic tomography with magnetic induction by means of the finite element method,” Phys. Med. Biol. 54, 2667–2682 (2009).
15. G. Hu, E. Cressman, and B. He, “Magnetoacoustic imaging of human liver tumor with magnetic induction,” Appl. Phys. Lett. 98, 023703 (2011).
17. Y. Xu, M. Xu, and L. V. Wang, “Exact frequency-domain reconstruction for thermoacoustic tomography. II. Cylindrical geometry,” IEEE Trans. Med. Imaging 21, 829–833 (2002).
18. M. Xu, Y. Xu, and L. V. Wang, “Time-domain reconstruction algorithms and numerical simulations for thermoacoustic tomography in various geometries,” IEEE Trans. Biomed. Eng. 50, 1086–1099 (2003).
19. L. Nie, Z. Ou, S. Yang, and D. Xing, “Thermoacoustic molecular tomography with magnetic nanoparticle contrast agents for targeted tumor detection,” Med. Phys. 37, 4193–4200 (2010).
20. Z. Ji, C. Lou, S. Yang, and D. Xing, “Three-dimensional thermoacoustic imaging for early breast cancer detection,” Med. Phys. 39, 6738–6744 (2012).
21. M. Pramanik, G. Ku, C. H. Li, and L. V. Wang, “Design and evaluation of a novel breast cancer detection system combining both thermoacoustic (TA) and photoacoustic (PA) tomography,” Med. Phys. 35, 2218–2223 (2008).
23. Q. Zhou, X. Ji, and D. Xing, “Full-field 3D photoacoustic imaging based on plane transducer array and spatial phase-controlled algorithm,” Med. Phys. 38(3), 1561–1566 (2011).
24. Y. Yang, S. Wang, C. Tao, X. Wang, and X. Liu, “Photoacoustic tomography of tissue subwavelength microstructure with a narrowband and low frequency system,” Appl. Phys. Lett. 101, 034105 (2012).
27. X. Sun, F. Zhang, Q. Ma, J. Tu, and D. Zhang, “Acoustic dipole radiation based conductivity image reconstruction for magnetoacoustic tomography with magnetic induction,” Appl. Phys. Lett. 100, 024105 (2012).
28. G. Du, Z. Zhu, and X. Gong, Fundamentals of Acoustics (Nanjing University Press, Nanjing, 2001).
29. Y. Li, Z. Liu, Q. Ma, X. Guo, and D. Zhang, “Two-dimensional Lorentz force image reconstruction for magnetoacoustic tomography with magnetic induction,” Chin. Phys. Lett. 27, 084302 (2010).
Article metrics loading...
Different from the theory of acoustic monopole spherical radiation, the acoustic dipole radiation based theory introduces the radiation pattern of Lorentz force induced dipole sources to describe the principle of magnetoacoustic tomography with magnetic induction (MAT-MI). Although two-dimensional (2D) simulations have been studied for cylindrical phantom models, layer effects of the dipole sources within the entire object along thez direction still need to be investigated to evaluate the performance of MAT-MI for different geometric specifications. The purpose of this work is further verifying the validity and generality of acoustic dipole radiation based theory for MAT-MI with two new models in different shapes, dimensions, and conductivities.
Based on the theory of acoustic dipole radiation, the principles of MAT-MI were analyzed with derived analytic formulae. 2D and 3D numerical studies for two new models of aluminum foil and cooked egg were conducted to simulate acoustic pressures and corresponding waveforms, and 2D images of the scanned layers were reconstructed with the simplified back projection algorithm for the waveforms collected around the models. The spatial resolution for conductivity boundary differentiation was also analyzed with different foil thickness. For comparison, two experimental measurements were conducted for a cylindrical aluminum foil phantom and a shell-peeled cooked egg. The collected waveforms and the reconstructed images of the scanned layers were achieved to verify the validation of the acoustic dipole radiation based theory for MAT-MI.
Despite the difference between the 2D and 3D simulated pressures, good consistence of the collected waveforms proves that wave clusters are generated by the abrupt pressure changes with bipolar vibration phases, representing the opposite polarities of the conductivity changes along the measurement direction. The configuration of the scanned layer can be reconstructed in terms of shape and size, and the conductivity boundaries are displayed in stripes with different contrast and bipolar intensities. Layer effects are demonstrated to have little influence on the collected waveforms and the reconstructed images of the scanned layers for the two new models. The experimental results have good agreements with numerical simulations, and the reconstructed 2D images provide conductivity configurations in the scanned layers of the aluminum foil and the egg models.
It can be concluded that the acoustic pressure of MAT-MI is produced by the divergence of the induced Lorentz force, and the collected waveforms comprise wave clusters with bipolar vibration phases and different amplitudes, providing the information of conductivity boundaries in the scanned layer. With the simplified back projection algorithm for diffraction sources, collected waveforms can be used to reconstruct 2D conductivity contrast image and the conductivity configuration in the scanned layer can be obtained in terms of shape and size in stripes with the spatial resolution of the acoustic wavelength. The favorable results further verify the validity and generality of the acoustic dipole radiation based theory and suggest the feasibility of MAT-MI as an effective electrical impedance contrast imaging approach for medical imaging.
Full text loading...
Most read this month