journal article·2025-05-26Open access

Dual-Tuned Magnetic Metasurface for Field Enhancement in 1H and 23Na 1.5 T MRI

Sabrina Rotundo, Valeria Lazzoni, Alessandro Dellabate, Danilo Brizi, Agostino Monorchio

Applied Sciences· Volume 15· Issue 11

Abstract

In this paper, we present a novel passive dual-tuned magnetic metasurface, which can enhance the field distribution produced by a closely placed radio-frequency coil for both 1H and 23Na 1.5 T MRI imaging. In particular, the proposed solution comprises a 5 × 5 capacitively loaded array, in which each unit-cell is composed of two concentric spiral coils. Specifically, the unit-cell internal spiral coil operates at the proton Larmor frequency (64 MHz), whereas the external is at the sodium one (17 MHz). Therefore, the paper aims to demonstrate the possibility of enhancing the magnetic field distribution in transmission and reception for 1.5 T MRI scanners by using the same metasurface configuration for imaging both nuclei, thus drastically simplifying the required instrumentation. We first describe the theoretical model used to design and synthetize the dual-tuned magnetic metasurface. Next, full-wave simulations are carried out to validate the approach. Finally, we report the experimental results acquired by testing the fabricated prototype at the workbench, observing a good agreement with the theoretical design and the numerical simulations. In particular, the metasurface increases the transmission efficiency Tx in presence of a biological phantom by a factor 3.5 at 17 MHz and by a factor 5 at 64 MHz, respectively. The proposed solution can pave the way for MRI multi-nuclei diagnostic technique with better images quality, simultaneously reducing the scanning time, the invasiveness on the patient and the overall costs.
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Research context

OpenAlex topics: Microwave Imaging and Scattering Analysis · Atomic and Subatomic Physics Research · Energy Harvesting in Wireless Networks

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Information Engineering, University of Pisa, 56122 Pisa, Italy

Consorzio Nazionale Interuniversitario per le Telecomunicazioni (C.N.I.T.), 56124 Pisa, Italy

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