journal article·2019-12Open access

Intelligent Metamaterials Based on Nonlinearity for Magnetic Resonance Imaging

Xiaoguang Zhao, Guangwu Duan, Ke Wu, Stephan W. Anderson, Xin Zhang

Advanced Materials· Volume 31· Issue 49

Abstract

Abstract Metamaterials provide a powerful platform to probe and enhance nonlinear responses in physical systems toward myriad applications. Herein, the development of a coupled nonlinear metamaterial (NLMM) featuring a self‐adaptive response that selectively amplifies the magnetic field is reported. The resonance of the NLMM is suppressed in response to higher degrees of radio‐frequency excitation strength and recovers during a subsequent low excitation strength phase, thereby exhibiting an intelligent, or nonlinear, behavior by passively sensing excitation signal strength and responding accordingly. The nonlinear response of the NLMM enables us to boost the signal‐to‐noise ratio during magnetic resonance imaging to an unprecedented degree. These results provide insights into a new paradigm to construct NLMMs consisting of coupled resonators and pave the way toward the utilization of NLMMs to address a host of practical technological applications.
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Research context

OpenAlex topics: Metamaterials and Metasurfaces Applications · Acoustic Wave Phenomena Research · Advanced Antenna and Metasurface Technologies

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

Affiliations

Department of Mechanical Engineering Boston University Boston MA 02215 USA

Department of Radiology Boston University Medical Campus Boston MA 02118 USA

Funding

National Institute of Biomedical Imaging and Bioengineering

References (38)

Show source-provided references
1. 10.1126/science.105884710.1126/science.1058847 ↗
2. 10.1038/nature0724710.1038/nature07247 ↗
3. 10.1126/science.117703110.1126/science.1177031 ↗
4. 10.1126/science.123539910.1126/science.1235399 ↗
5. 10.1126/science.113362810.1126/science.1133628 ↗
6. 10.1126/science.aaf664410.1126/science.aaf6644 ↗
7. 10.1038/nmat274310.1038/nmat2743 ↗
8. 10.1038/nphoton.2013.24310.1038/nphoton.2013.243 ↗
9. 10.1002/adma.20120067410.1002/adma.201200674 ↗
10. 10.1103/RevModPhys.86.109310.1103/RevModPhys.86.1093 ↗
11. 10.1038/natrevmats.2017.1010.1038/natrevmats.2017.10 ↗
12. 10.1063/1.493684110.1063/1.4936841 ↗
13. 10.1038/nature1123110.1038/nature11231 ↗
14. 10.1126/science.112919810.1126/science.1129198 ↗
15. 10.1038/lsa.2016.7810.1038/lsa.2016.78 ↗
16. 10.1103/PhysRevLett.105.12390510.1103/PhysRevLett.105.123905 ↗
17. 10.1038/ncomms568010.1038/ncomms5680 ↗
18. 10.1109/JPROC.2013.224561110.1109/JPROC.2013.2245611 ↗
19. 10.1364/OE.20.01127710.1364/OE.20.011277 ↗
20. 10.1364/OE.25.00367510.1364/OE.25.003675 ↗
21. 10.1109/JLT.2018.284601910.1109/JLT.2018.2846019 ↗
22. 10.1021/acsami.5b0005610.1021/acsami.5b00056 ↗
23. 10.1364/OE.23.01623810.1364/OE.23.016238 ↗
24. 10.1109/JLT.2018.282277710.1109/JLT.2018.2822777 ↗
25. 10.1126/science.291.5505.84910.1126/science.291.5505.849 ↗
26. 10.1063/1.304372510.1063/1.3043725 ↗
27. 10.1103/PhysRevX.8.03108310.1103/PhysRevX.8.031083 ↗
28. 10.1002/adma.20150427010.1002/adma.201504270 ↗
29. 10.1038/s42005-019-0135-710.1038/s42005-019-0135-7 ↗
30. 10.1364/OE.16.01605810.1364/OE.16.016058 ↗
31. 10.1088/1367-2630/12/9/09301010.1088/1367-2630/12/9/093010 ↗
32. 10.1103/PhysRevLett.115.23550310.1103/PhysRevLett.115.235503 ↗
33. 10.1002/adma.20180027810.1002/adma.201800278 ↗
34. 10.1126/science.114325410.1126/science.1143254 ↗
35. Haus H. A. · 1984
36. 10.1118/1.361873010.1118/1.3618730 ↗
37. 10.1038/s41598-017-01932-910.1038/s41598-017-01932-9 ↗
38. 10.1109/10.41265710.1109/10.412657 ↗