Skip to main content

News about Scitation

In December 2016 Scitation will launch with a new design, enhanced navigation and a much improved user experience.

To ensure a smooth transition, from today, we are temporarily stopping new account registration and single article purchases. If you already have an account you can continue to use the site as normal.

For help or more information please visit our FAQs.

banner image
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.
B. J. Darrer, J. C. Watson, P. Bartlett, and F. Renzoni, “Magnetic imaging: A new tool for UK national nuclear security,” Sci. Rep. 5, 2271 EP (2015).
B. J. Darrer, J. C. Watson, P. Bartlett, and F. Renzoni, “Electromagnetic imaging through thick metallic enclosures,” AIP Adv. 5, 087143 (2015).
L. Ma, H.-Y. Wei, and M. Soleimani, “Planar magnetic induction tomography for 3D near subsurface imaging,” Prog. Electromagn. Res. 138, 6582 (2013).
M. Soleimani, “Simultaneous reconstruction of permeability and conductivity in magnetic induction tomography,” J. of Electromagn. Waves and Appl. 23, 785 (2009).
S. R. Higson, P. Drake, D. W. Stamp, A. Peyton, R. Binns, A. Lyons, and W. Lionheart, “Development of a sensor for visualization of steel flow in the continuous casting nozzle,” Rev. Metall./Cah. Inf. Tech. 100, 629632 (2003).
X. Ma, A. J. Peyton, R. Binns, and S. R. Higson, “Electromagnetic techniques for imaging the cross-section distribution of molten steel flow in the continuous casting nozzle,” IEEE Sensors J. 5(2), 224232 (2005).
R. Merwa, K. Hollaus, O. Bir, and H. Scharfetter, “Detection of brain oedema using magnetic induction tomography: A feasibility study of the likely sensitivity and detectability,” Physiol. Meas. 25, 1 (2004).
O. Dorn, H. Bertete-Aguirre, J. G. Berryman, and G. C. Papanicolaou, “A nonlinear inversion method for 3D electromagnetic imaging using adjoint fields,” Inverse Probl 15, 15231558 (1999).
W. Daily and A. Ramirez, “Environmental process tomography in the United States,” Chem. Eng. J. Biochem. Eng. 56(3), 159165 (1995).
M. Noel and B. Xu, “Archaeological investigation by electrical resistance tomography: A preliminary study,” Geophys. J. Int. 107, 95102 (1991).
L. Marmugi and F. Renzoni, “Optical magnetic induction tomography of the heart,” Sci. Rep. 6, 23962 (2016).
C. Deans, L. Marmugi, S. Hussain, and F. Renzoni, “Electromagnetic induction imaging with a radio-frequency atomic magnetometer,” Appl. Phys. Lett. 108, 103503 (2016).
Weast, R. C. in Handbook of Chemistry and Physics60th edition, Boca Raton, Florida, E85F172 (CRC Press 1979-1980).
P. Gaydecki, S. Quek, G. Miller, B. T. Fernandes, and M. A. M. Zaid, “Design and evaluation of an inductive Q-detection sensor incorporating digital signal processing for imaging of steel reinforcing bars in concrete,” Meas. Sci. Technol. 13, 13271335 (2002).
L. Du, X. Zhu, Y. Han, L. Zhao, and J. Zhe, “Improving sensitivity of an inductive pulse sensor for detection of metal wear debris in lubricants using parallel LC resonance method,” Meas. Sci. Technol. 24(7), 110 (2013).
J. F. Canny, “A computational approach to edge detection,” IEEE Trans. Pattern Anal. Mach. Intell. 8(6), 679698 (1986).

Data & Media loading...


Article metrics loading...



The possibility of revealing the presence and identifying the nature of conductive targets is of central interest in many fields, including security, medicine, industry, archaeology and geophysics. In many applications, these targets are shielded by external materials and thus cannot be directly accessed. Hence, interrogation techniques are required that allow penetration through the shielding materials, in order for the target to be identified. Electromagnetic interrogation techniques represent a powerful solution to this challenge, as they enable penetration through conductive shields. In this work, we demonstrate the power of resonant electromagnetic induction imaging to penetrate through metallic shields (1.5-mm-thick) and image targets (having conductivities ranging from 0.54 to 59.77 MS) concealed behind them.


Full text loading...


Access Key

  • FFree Content
  • OAOpen Access Content
  • SSubscribed Content
  • TFree Trial Content
752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd