Improving magnetic resonance imaging with smart and thin metasurfaces
Abstract Over almost five decades of development and improvement, Magnetic Resonance Imaging (MRI) has become a rich and powerful, non-invasive technique in medical imaging, yet not reaching its physical limits. Technical and physiological restrictions constrain physically feasible developments. A c...
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2021
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oai:doaj.org-article:3f72667ba3304075b78c1707631c9bcd2021-12-02T18:50:57ZImproving magnetic resonance imaging with smart and thin metasurfaces10.1038/s41598-021-95420-w2045-2322https://doaj.org/article/3f72667ba3304075b78c1707631c9bcd2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95420-whttps://doaj.org/toc/2045-2322Abstract Over almost five decades of development and improvement, Magnetic Resonance Imaging (MRI) has become a rich and powerful, non-invasive technique in medical imaging, yet not reaching its physical limits. Technical and physiological restrictions constrain physically feasible developments. A common solution to improve imaging speed and resolution is to use higher field strengths, which also has subtle and potentially harmful implications. However, patient safety is to be considered utterly important at all stages of research and clinical routine. Here we show that dynamic metamaterials are a promising solution to expand the potential of MRI and to overcome some limitations. A thin, smart, non-linear metamaterial is presented that enhances the imaging performance and increases the signal-to-noise ratio in 3T MRI significantly (up to eightfold), whilst the transmit field is not affected due to self-detuning and, thus, patient safety is also assured. This self-detuning works without introducing any additional overhead related to MRI-compatible electronic control components or active (de-)tuning mechanisms. The design paradigm, simulation results, on-bench characterization, and MRI experiments using homogeneous and structural phantoms are described. The suggested single-layer metasurface paves the way for conformal and patient-specific manufacturing, which was not possible before due to typically bulky and rigid metamaterial structures.Endri StojaSimon KonstandinDennis PhilippRobin N. WilkeDiego BetancourtThomas BertuchJürgen JenneReiner UmathumMatthias GüntherNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021) |
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Medicine R Science Q Endri Stoja Simon Konstandin Dennis Philipp Robin N. Wilke Diego Betancourt Thomas Bertuch Jürgen Jenne Reiner Umathum Matthias Günther Improving magnetic resonance imaging with smart and thin metasurfaces |
description |
Abstract Over almost five decades of development and improvement, Magnetic Resonance Imaging (MRI) has become a rich and powerful, non-invasive technique in medical imaging, yet not reaching its physical limits. Technical and physiological restrictions constrain physically feasible developments. A common solution to improve imaging speed and resolution is to use higher field strengths, which also has subtle and potentially harmful implications. However, patient safety is to be considered utterly important at all stages of research and clinical routine. Here we show that dynamic metamaterials are a promising solution to expand the potential of MRI and to overcome some limitations. A thin, smart, non-linear metamaterial is presented that enhances the imaging performance and increases the signal-to-noise ratio in 3T MRI significantly (up to eightfold), whilst the transmit field is not affected due to self-detuning and, thus, patient safety is also assured. This self-detuning works without introducing any additional overhead related to MRI-compatible electronic control components or active (de-)tuning mechanisms. The design paradigm, simulation results, on-bench characterization, and MRI experiments using homogeneous and structural phantoms are described. The suggested single-layer metasurface paves the way for conformal and patient-specific manufacturing, which was not possible before due to typically bulky and rigid metamaterial structures. |
format |
article |
author |
Endri Stoja Simon Konstandin Dennis Philipp Robin N. Wilke Diego Betancourt Thomas Bertuch Jürgen Jenne Reiner Umathum Matthias Günther |
author_facet |
Endri Stoja Simon Konstandin Dennis Philipp Robin N. Wilke Diego Betancourt Thomas Bertuch Jürgen Jenne Reiner Umathum Matthias Günther |
author_sort |
Endri Stoja |
title |
Improving magnetic resonance imaging with smart and thin metasurfaces |
title_short |
Improving magnetic resonance imaging with smart and thin metasurfaces |
title_full |
Improving magnetic resonance imaging with smart and thin metasurfaces |
title_fullStr |
Improving magnetic resonance imaging with smart and thin metasurfaces |
title_full_unstemmed |
Improving magnetic resonance imaging with smart and thin metasurfaces |
title_sort |
improving magnetic resonance imaging with smart and thin metasurfaces |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/3f72667ba3304075b78c1707631c9bcd |
work_keys_str_mv |
AT endristoja improvingmagneticresonanceimagingwithsmartandthinmetasurfaces AT simonkonstandin improvingmagneticresonanceimagingwithsmartandthinmetasurfaces AT dennisphilipp improvingmagneticresonanceimagingwithsmartandthinmetasurfaces AT robinnwilke improvingmagneticresonanceimagingwithsmartandthinmetasurfaces AT diegobetancourt improvingmagneticresonanceimagingwithsmartandthinmetasurfaces AT thomasbertuch improvingmagneticresonanceimagingwithsmartandthinmetasurfaces AT jurgenjenne improvingmagneticresonanceimagingwithsmartandthinmetasurfaces AT reinerumathum improvingmagneticresonanceimagingwithsmartandthinmetasurfaces AT matthiasgunther improvingmagneticresonanceimagingwithsmartandthinmetasurfaces |
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1718377442112962560 |