Journal
ADVANCED MATERIALS
Volume 34, Issue 6, Pages -Publisher
WILEY-V C H VERLAG GMBH
DOI: 10.1002/adma.202109032
Keywords
auxetics; magnetic coupling; magnetic resonance imaging; signal-to-noise ratio; tunable metamaterials
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Funding
- National Institute of Health (NIH) of Biomedical Imaging and Bioengineering Grant [1R21EB024673]
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Auxetics, with a negative Poisson's ratio, are utilized to design tunable metamaterials for MRI applications, enabling frequency tunability through electromagnetic interaction modification. The metamaterials fabricated using 3D printing technology show an approximate 20 MHz frequency shift during deformation, resulting in a significant boost in MRI signal-to-noise ratio.
Auxetics refers to structures or materials with a negative Poisson's ratio, thereby capable of exhibiting counterintuitive behaviors. Herein, auxetic structures are exploited to design mechanically tunable metamaterials in both planar and hemispherical configurations operating at megahertz (MHz) frequencies, optimized for their application to magnetic resonance imaging (MRI). Specially, the reported tunable metamaterials are composed of arrays of interjointed unit cells featuring metallic helices, enabling auxetic patterns with a negative Poisson's ratio. The deployable deformation of the metamaterials yields an added degree of freedom with respect to frequency tunability through the resultant modification of the electromagnetic interactions between unit cells. The metamaterials are fabricated using 3D printing technology and an approximate to 20 MHz frequency shift of the resonance mode is enabled during deformation. Experimental validation is performed in a clinical (3.0 T) MRI system, demonstrating that the metamaterials enable a marked boost in radiofrequency field strength under resonance-matched conditions, ultimately yielding a dramatic increase in the signal-to-noise ratio (approximate to 4.5x) of MRI. The tunable metamaterials presented herein offer a novel pathway toward the practical utilization of metamaterials in MRI, as well as a range of other emerging applications.
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