journal article·2022-02Open access

Auxetics‐Inspired Tunable Metamaterials for Magnetic Resonance Imaging (Adv. Mater. 6/2022)

Ke Wu, Xiaoguang Zhao, Thomas G. Bifano, Stephan W. Anderson, Xin Zhang

Advanced Materials· Volume 34· Issue 6

Abstract

Tunable Metamaterials In article number 2109032, Stephan W. Anderson, Xin Zhang, and co-workers exploit auxetic structures with a negative Poisson's ratio, exhibiting counterintuitive behaviors, 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), the proposed tunable metamaterials serve to enhance local magnetic fields and increase the signal-to-noise ratio in magnetic resonance image around 4.5 times.
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Research context

OpenAlex topics: Modular Robots and Swarm Intelligence

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Affiliations

Department of Mechanical Engineering Boston University Boston MA 02215 USA

Photonics Center Boston University Boston MA 02215 USA

Department of Radiology Boston University Medical Campus Boston MA 02118 USA

References

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