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Improving magnetic resonance imaging with smart and thin metasurfaces
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 sol...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355254/ https://www.ncbi.nlm.nih.gov/pubmed/34376748 http://dx.doi.org/10.1038/s41598-021-95420-w |
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author | Stoja, Endri Konstandin, Simon Philipp, Dennis Wilke, Robin N. Betancourt, Diego Bertuch, Thomas Jenne, Jürgen Umathum, Reiner Günther, Matthias |
author_facet | Stoja, Endri Konstandin, Simon Philipp, Dennis Wilke, Robin N. Betancourt, Diego Bertuch, Thomas Jenne, Jürgen Umathum, Reiner Günther, Matthias |
author_sort | Stoja, Endri |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-8355254 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83552542021-08-11 Improving magnetic resonance imaging with smart and thin metasurfaces Stoja, Endri Konstandin, Simon Philipp, Dennis Wilke, Robin N. Betancourt, Diego Bertuch, Thomas Jenne, Jürgen Umathum, Reiner Günther, Matthias Sci Rep Article 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. Nature Publishing Group UK 2021-08-10 /pmc/articles/PMC8355254/ /pubmed/34376748 http://dx.doi.org/10.1038/s41598-021-95420-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Stoja, Endri Konstandin, Simon Philipp, Dennis Wilke, Robin N. Betancourt, Diego Bertuch, Thomas Jenne, Jürgen Umathum, Reiner Günther, Matthias Improving magnetic resonance imaging with smart and thin metasurfaces |
title | 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_short | Improving magnetic resonance imaging with smart and thin metasurfaces |
title_sort | improving magnetic resonance imaging with smart and thin metasurfaces |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355254/ https://www.ncbi.nlm.nih.gov/pubmed/34376748 http://dx.doi.org/10.1038/s41598-021-95420-w |
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