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Whole‐brain high‐resolution metabolite mapping with 3D compressed‐sensing SENSE low‐rank (1)H FID‐MRSI
There is a growing interest in the neuroscience community to map the distribution of brain metabolites in vivo. Magnetic resonance spectroscopic imaging (MRSI) is often limited by either a poor spatial resolution and/or a long acquisition time, which severely restricts its applications for clinical...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285075/ https://www.ncbi.nlm.nih.gov/pubmed/34595791 http://dx.doi.org/10.1002/nbm.4615 |
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author | Klauser, Antoine Klauser, Paul Grouiller, Frédéric Courvoisier, Sébastien Lazeyras, François |
author_facet | Klauser, Antoine Klauser, Paul Grouiller, Frédéric Courvoisier, Sébastien Lazeyras, François |
author_sort | Klauser, Antoine |
collection | PubMed |
description | There is a growing interest in the neuroscience community to map the distribution of brain metabolites in vivo. Magnetic resonance spectroscopic imaging (MRSI) is often limited by either a poor spatial resolution and/or a long acquisition time, which severely restricts its applications for clinical and research purposes. Building on a recently developed technique of acquisition‐reconstruction for 2D MRSI, we combined a fast Cartesian (1)H‐FID‐MRSI acquisition sequence, compressed‐sensing acceleration, and low‐rank total‐generalized‐variation constrained reconstruction to produce 3D high‐resolution whole‐brain MRSI with a significant acquisition time reduction. We first evaluated the acceleration performance using retrospective undersampling of a fully sampled dataset. Second, a 20 min accelerated MRSI acquisition was performed on three healthy volunteers, resulting in metabolite maps with 5 mm isotropic resolution. The metabolite maps exhibited the detailed neurochemical composition of all brain regions and revealed parts of the underlying brain anatomy. The latter assessment used previous reported knowledge and a atlas‐based analysis to show consistency of the concentration contrasts and ratio across all brain regions. These results acquired on a clinical 3 T MRI scanner successfully combined 3D (1)H‐FID‐MRSI with a constrained reconstruction to produce detailed mapping of metabolite concentrations at high resolution over the whole brain, with an acquisition time suitable for clinical or research settings. |
format | Online Article Text |
id | pubmed-9285075 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92850752022-07-15 Whole‐brain high‐resolution metabolite mapping with 3D compressed‐sensing SENSE low‐rank (1)H FID‐MRSI Klauser, Antoine Klauser, Paul Grouiller, Frédéric Courvoisier, Sébastien Lazeyras, François NMR Biomed Research Articles There is a growing interest in the neuroscience community to map the distribution of brain metabolites in vivo. Magnetic resonance spectroscopic imaging (MRSI) is often limited by either a poor spatial resolution and/or a long acquisition time, which severely restricts its applications for clinical and research purposes. Building on a recently developed technique of acquisition‐reconstruction for 2D MRSI, we combined a fast Cartesian (1)H‐FID‐MRSI acquisition sequence, compressed‐sensing acceleration, and low‐rank total‐generalized‐variation constrained reconstruction to produce 3D high‐resolution whole‐brain MRSI with a significant acquisition time reduction. We first evaluated the acceleration performance using retrospective undersampling of a fully sampled dataset. Second, a 20 min accelerated MRSI acquisition was performed on three healthy volunteers, resulting in metabolite maps with 5 mm isotropic resolution. The metabolite maps exhibited the detailed neurochemical composition of all brain regions and revealed parts of the underlying brain anatomy. The latter assessment used previous reported knowledge and a atlas‐based analysis to show consistency of the concentration contrasts and ratio across all brain regions. These results acquired on a clinical 3 T MRI scanner successfully combined 3D (1)H‐FID‐MRSI with a constrained reconstruction to produce detailed mapping of metabolite concentrations at high resolution over the whole brain, with an acquisition time suitable for clinical or research settings. John Wiley and Sons Inc. 2021-10-01 2022-01 /pmc/articles/PMC9285075/ /pubmed/34595791 http://dx.doi.org/10.1002/nbm.4615 Text en © 2021 The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Articles Klauser, Antoine Klauser, Paul Grouiller, Frédéric Courvoisier, Sébastien Lazeyras, François Whole‐brain high‐resolution metabolite mapping with 3D compressed‐sensing SENSE low‐rank (1)H FID‐MRSI |
title | Whole‐brain high‐resolution metabolite mapping with 3D compressed‐sensing SENSE low‐rank (1)H FID‐MRSI |
title_full | Whole‐brain high‐resolution metabolite mapping with 3D compressed‐sensing SENSE low‐rank (1)H FID‐MRSI |
title_fullStr | Whole‐brain high‐resolution metabolite mapping with 3D compressed‐sensing SENSE low‐rank (1)H FID‐MRSI |
title_full_unstemmed | Whole‐brain high‐resolution metabolite mapping with 3D compressed‐sensing SENSE low‐rank (1)H FID‐MRSI |
title_short | Whole‐brain high‐resolution metabolite mapping with 3D compressed‐sensing SENSE low‐rank (1)H FID‐MRSI |
title_sort | whole‐brain high‐resolution metabolite mapping with 3d compressed‐sensing sense low‐rank (1)h fid‐mrsi |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285075/ https://www.ncbi.nlm.nih.gov/pubmed/34595791 http://dx.doi.org/10.1002/nbm.4615 |
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