Lincoln High School (class of 2018), 3838 Trojan Trail, Tallahassee, FL 32311, USA
Aeropropulsion, Mechatronics and Energy Center, Florida State University, 2003 Levy Ave., Tallahassee, FL 32310, USA
National High Magnetic Field Laboratory (NHMFL) and Florida State University, 1800 E. Paul Dirac Drive, Tallahassee, FL 32310, USA
Department of Chemistry, Wesleyan University,52 Lawn Ave., HallAtwater Labs, Middletown, CT 06459, USA
Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
Department of Biomedical and Health Informatics, The Children’s Hospital of Philadelphia, Philadelphia, PA 19041, USA
Department of Genetics, Rutgers University, Piscataway, NJ 08854, USA
: Received: 12 October 2016 / Approved: 12 October 2016 / Online: 12 October 2016 (11:37:13 CEST)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
How to cite:
Chandrashekar, C.; Shellikeri, A.; Chandrashekar, S.; Taylor, E.; Taylor, D. Visualizing Electromagnetic Vacuum by MRI. Preprints2016, 2016100042 (doi: 10.20944/preprints201610.0042.v1).
Chandrashekar, C.; Shellikeri, A.; Chandrashekar, S.; Taylor, E.; Taylor, D. Visualizing Electromagnetic Vacuum by MRI. Preprints 2016, 2016100042 (doi: 10.20944/preprints201610.0042.v1).
Based upon Maxwell's equations, it has long been established that oscillating electromagnetic (EM) fields incident upon a metal surface decay exponentially inside the conductor, leading to a virtual EM vacuum at sufficient depths. Magnetic resonance imaging (MRI) utilizes radiofrequency (r.f.) EM fields to produce images. Here we present the first visualization of an EM vacuum inside a bulk metal strip by MRI, amongst several novel findings. We uncover unexpected MRI intensity patterns arising from two orthogonal pairs of faces of a metal strip, and derive formulae for their intensity ratios. Further, we furnish chemical shift imaging (CSI) results that discriminate different faces (surfaces) of a metal block according to their distinct nuclear magnetic resonance (NMR) chemical shifts, which holds much promise for monitoring surface chemical reactions noninvasively. Bulk metals are ubiquitous, and MRI is a premier noninvasive diagnostic tool. Combining the two, the emerging field of bulk metal MRI can be expected to grow in importance. The fundamental nature of results presented here can impact and spur further development of bulk metal MRI and CSI across many fields.