Mimicking Localized Surface Plasmons via Mie Resonances to Enhance Magnetic-Resonance-Imaging Applications

Carlo Rizza, Elia Palange, Marcello Alecci, and Angelo Galante
Phys. Rev. Applied 14, 034040 – Published 15 September 2020

Abstract

Metaphotonics, combining metamaterial (MM) and nanophotonic concepts, offers a unique platform for obtaining an unusual and/or advantageous electromagnetic response on a scale much less than the wavelength, although several practical applications are strongly hampered by the complexity of fabrication of MM devices and the intrinsic subwavelength inhomogeneous response of the MM composite. Recently, much research effort has been focused on the study of photonic devices for magnetic resonance imaging (MRI), one of the cornerstone diagnostics techniques in life science. In the MRI context, we introduce the use of magnetic surface excitations (magnetic localized surface plasmons) supported by a negative-magnetic-permeability MM sphere that results in a significant local enhancement of the MRI signal-to-noise ratio. Using the Mie resonance theory, we show that an increase in the signal-to-noise ratio boost can be obtained by replacing the MM sphere with a homogeneous high-permittivity one of the same radius. Overcoming some of the main MM limiting factors, our results suggest a simple approach for the realization of radio-frequency magnetic metadevices.

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  • Received 17 February 2020
  • Revised 18 June 2020
  • Accepted 13 August 2020

DOI:https://doi.org/10.1103/PhysRevApplied.14.034040

© 2020 American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied Physics

Authors & Affiliations

Carlo Rizza1,2,*, Elia Palange3, Marcello Alecci4,2,5, and Angelo Galante4,2,5

  • 1Department of Physical and Chemical Sciences, University of L’Aquila, Via Vetoio 1, 67100 L’Aquila, Italy
  • 2Institute for Superconductors, Oxides and Other Innovative Materials and Devices, National Research Council, Via Vetoio 1, 67100 L’Aquila, Italy
  • 3Department of Industrial and Information Engineering and Economics, University of L’Aquila, Via G. Gronchi 18, 67100 L’Aquila, Italy
  • 4Department of Life, Health and Environmental Sciences, University of L’Aquila, Via Vetoio 1, 67100 L’Aquila, Italy
  • 5National Institute for Nuclear Physics (INFN), Gran Sasso National Laboratory, 67100 L’Aquila, Italy

  • *carlo.rizza@spin.cnr.it

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Vol. 14, Iss. 3 — September 2020

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