Tunable Metasurfaces for Switchable Magnetic Field Enhancement Regions in 1.5 T MRI

Metasurfaces have been reported to boost the signal-to-noise ratio (SNR) of magnetic resonance imaging (MRI) through their magnetic field enhancement capabilities. The varying region-of-interest (ROI) sizes in clinical imaging limit metasurfaces from realizing their potential, since the field enhancement regions of the most metasurfaces are fixed after fabrication. In this paper, a tunable metasurface (TMS) is proposed to significantly boost SNR of 1.5 T MRI in regions with different sizes. The TMS is composed of unit cells that contain a planar metal spiral loaded with a variable capacitor and placed on a square dielectric substrate. The feasibility of switching between a wide enhancement region (WER) mode and a narrow enhancement region (NER) mode by adjusting the capacitance is validated through simulations and experiments. The enhancement of the magnetic field by the WER mode of TMS boosts the SNR of the human brain voxel model by a maximum of 14.01 times, reaching a higher value of 22.81 times with the NER mode. This work offers an effective approach that can change the region sizes of field enhancement flexibly, enabling metasurfaces to adapt for various MRI scenarios such as disease detection in the large region or therapeutic monitoring in the specific small region.

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Publication Details

Journal
IEEE Transactions on Biomedical Engineering
Published
2025-01-01
DOI
https://doi.org/10.1109/tbme.2025.3618475
Primary Topic
Advanced Memory and Neural Computing
Type
article
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article

Tunable Metasurfaces for Switchable Magnetic Field Enhancement Regions in 1.5 T MRI

Xiang Zheng Kong, Guoquan Chen, Yu Liu, Jiannan Zhou et al.
IEEE Transactions on Biomedical Engineering
Advanced Memory and Neural Computing
article

Tunable Metasurfaces for Switchable Magnetic Field Enhancement Regions in 1.5 T MRI

Xiang Zheng Kong, Guoquan Chen, Yu Liu, Jiannan Zhou, Xia Xiao
article en

Abstract

Metasurfaces have been reported to boost the signal-to-noise ratio (SNR) of magnetic resonance imaging (MRI) through their magnetic field enhancement capabilities. The varying region-of-interest (ROI) sizes in clinical imaging limit metasurfaces from realizing their potential, since the field enhancement regions of the most metasurfaces are fixed after fabrication. In this paper, a tunable metasurface (TMS) is proposed to significantly boost SNR of 1.5 T MRI in regions with different sizes. The TMS is composed of unit cells that contain a planar metal spiral loaded with a variable capacitor and placed on a square dielectric substrate. The feasibility of switching between a wide enhancement region (WER) mode and a narrow enhancement region (NER) mode by adjusting the capacitance is validated through simulations and experiments. The enhancement of the magnetic field by the WER mode of TMS boosts the SNR of the human brain voxel model by a maximum of 14.01 times, reaching a higher value of 22.81 times with the NER mode. This work offers an effective approach that can change the region sizes of field enhancement flexibly, enabling metasurfaces to adapt for various MRI scenarios such as disease detection in the large region or therapeutic monitoring in the specific small region.

IEEE Transactions on Biomedical EngineeringVol. PP
Tianjin University of Technology (CN), Tianjin University (CN), Nankai University (CN)
Openalex Percentile: Top 72%
Advanced Memory and Neural Computing
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Tunable Metasurfaces for Switchable Magnetic Field Enhancement Regions in 1.5 T MRI — Xiang Zheng Kong, Guoquan Chen, et al. · IEEE Transactions on Biomedical Engineering (2025) | TGRS Research Map | TGRS