Exploring in vivo human brain metabolism at 10.5 T: Initial insights from MR spectroscopic imaging
Introduction: Ultra-high-field magnetic resonance (MR) systems (7 T and 9.4 T) offer the ability to probe human brain metabolism with enhanced precision. Here, we present the preliminary findings from 3D MR spectroscopic imaging (MRSI) of the human brain conducted with the world's first 10.5 T...
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Elsevier
2025-02-01
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| Series: | NeuroImage |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811925000151 |
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| author | Lukas Hingerl Bernhard Strasser Simon Schmidt Korbinian Eckstein Guglielmo Genovese Edward J. Auerbach Andrea Grant Matt Waks Andrew Wright Philipp Lazen Alireza Sadeghi-Tarakameh Gilbert Hangel Fabian Niess Yigitcan Eryaman Gregor Adriany Gregory Metzger Wolfgang Bogner Małgorzata Marjańska |
| author_facet | Lukas Hingerl Bernhard Strasser Simon Schmidt Korbinian Eckstein Guglielmo Genovese Edward J. Auerbach Andrea Grant Matt Waks Andrew Wright Philipp Lazen Alireza Sadeghi-Tarakameh Gilbert Hangel Fabian Niess Yigitcan Eryaman Gregor Adriany Gregory Metzger Wolfgang Bogner Małgorzata Marjańska |
| author_sort | Lukas Hingerl |
| collection | DOAJ |
| description | Introduction: Ultra-high-field magnetic resonance (MR) systems (7 T and 9.4 T) offer the ability to probe human brain metabolism with enhanced precision. Here, we present the preliminary findings from 3D MR spectroscopic imaging (MRSI) of the human brain conducted with the world's first 10.5 T whole-body MR system. Methods: Employing a custom-built 16-channel transmit and 80-channel receive MR coil at 10.5 T, we conducted MRSI acquisitions in six healthy volunteers to map metabolic compounds in the human cerebrum in vivo. Three MRSI protocols with different matrix sizes and scan times (4.4 × 4.4 × 4.4 mm³: 10 min, 3.4 × 3.4 × 3.4 mm³: 15 min, and 2.75×2.75×2.75 mm³: 25 min) were tested. Concentric ring trajectories were utilized for time-efficient encoding of a spherical 3D k-space with ∼4 kHz spectral bandwidth. B0/B1 shimming was performed based on respective field mapping sequences and anatomical T1-weighted MRI were obtained. Results: By combining the benefits of an ultra-high-field system with the advantages of free-induction-decay (FID-)MRSI, we present the first metabolic maps acquired at 10.5 T in the healthy human brain at both high (voxel size of 4.4³ mm³) and ultra-high (voxel size of 2.75³ mm³) isotropic spatial resolutions. Maps of 13 metabolic compounds (aspartate, choline compounds and creatine + phosphocreatine, γ-aminobutyric acid (GABA), glucose, glutamine, glutamate, glutathione, myo-inositol, scyllo-inositol, N-acetylaspartate (NAA), N-acetylaspartylglutamate (NAAG), taurine) and macromolecules were obtained individually. The spectral quality was outstanding in the parietal and occipital lobes, but lower in other brain regions such as the temporal and frontal lobes. The average total NAA (tNAA = NAA + NAAG) signal-to-noise ratio over the whole volume of interest was 12.1± 8.9 and the full width at half maximum of tNAA was 24.7± 9.6 Hz for the 2.75 × 2.75 × 2.75 mm³ resolution. The need for an increased spectral bandwidth in combination with spatio-spectral encoding imposed significant challenges on the gradient system, but the FID approach proved very robust to field inhomogeneities of ∆B0 = 45 ± 38 Hz (frequency offset ± spatial STD) and B1+ = 65 ± 11° within the MRSI volume of interest. Discussion: These preliminary findings highlight the potential of 10.5 T MRSI as a powerful imaging tool for probing cerebral metabolism. By providing unprecedented spatial and spectral resolution, this technology could offer a unique view into the metabolic intricacies of the human brain, but further technical developments will be necessary to optimize data quality and fully leverage the capabilities of 10.5 T MRSI. |
| format | Article |
| id | doaj-art-fa8a728a10114257ac0b11ae57e1dfaf |
| institution | Kabale University |
| issn | 1095-9572 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj-art-fa8a728a10114257ac0b11ae57e1dfaf2025-02-06T05:11:06ZengElsevierNeuroImage1095-95722025-02-01307121015Exploring in vivo human brain metabolism at 10.5 T: Initial insights from MR spectroscopic imagingLukas Hingerl0Bernhard Strasser1Simon Schmidt2Korbinian Eckstein3Guglielmo Genovese4Edward J. Auerbach5Andrea Grant6Matt Waks7Andrew Wright8Philipp Lazen9Alireza Sadeghi-Tarakameh10Gilbert Hangel11Fabian Niess12Yigitcan Eryaman13Gregor Adriany14Gregory Metzger15Wolfgang Bogner16Małgorzata Marjańska17High-field MR Center HFMR, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, AustriaHigh-field MR Center HFMR, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, AustriaCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, USAThe University of Queensland, School of Information Technology and Electrical Engineering, St Lucia, AustraliaCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, USACenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, USACenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, USACenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, USAAdvanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, USAHigh-field MR Center HFMR, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria; Department of Neurosurgery, Medical University of Vienna, Vienna, AustriaCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, USAHigh-field MR Center HFMR, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria; Department of Neurosurgery, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for MR Imaging Biomarkers, Vienna, AustriaHigh-field MR Center HFMR, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, AustriaCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, USACenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, USACenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, USAHigh-field MR Center HFMR, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for MR Imaging Biomarkers, Vienna, Austria; Corresponding authors.Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, USA; Corresponding authors.Introduction: Ultra-high-field magnetic resonance (MR) systems (7 T and 9.4 T) offer the ability to probe human brain metabolism with enhanced precision. Here, we present the preliminary findings from 3D MR spectroscopic imaging (MRSI) of the human brain conducted with the world's first 10.5 T whole-body MR system. Methods: Employing a custom-built 16-channel transmit and 80-channel receive MR coil at 10.5 T, we conducted MRSI acquisitions in six healthy volunteers to map metabolic compounds in the human cerebrum in vivo. Three MRSI protocols with different matrix sizes and scan times (4.4 × 4.4 × 4.4 mm³: 10 min, 3.4 × 3.4 × 3.4 mm³: 15 min, and 2.75×2.75×2.75 mm³: 25 min) were tested. Concentric ring trajectories were utilized for time-efficient encoding of a spherical 3D k-space with ∼4 kHz spectral bandwidth. B0/B1 shimming was performed based on respective field mapping sequences and anatomical T1-weighted MRI were obtained. Results: By combining the benefits of an ultra-high-field system with the advantages of free-induction-decay (FID-)MRSI, we present the first metabolic maps acquired at 10.5 T in the healthy human brain at both high (voxel size of 4.4³ mm³) and ultra-high (voxel size of 2.75³ mm³) isotropic spatial resolutions. Maps of 13 metabolic compounds (aspartate, choline compounds and creatine + phosphocreatine, γ-aminobutyric acid (GABA), glucose, glutamine, glutamate, glutathione, myo-inositol, scyllo-inositol, N-acetylaspartate (NAA), N-acetylaspartylglutamate (NAAG), taurine) and macromolecules were obtained individually. The spectral quality was outstanding in the parietal and occipital lobes, but lower in other brain regions such as the temporal and frontal lobes. The average total NAA (tNAA = NAA + NAAG) signal-to-noise ratio over the whole volume of interest was 12.1± 8.9 and the full width at half maximum of tNAA was 24.7± 9.6 Hz for the 2.75 × 2.75 × 2.75 mm³ resolution. The need for an increased spectral bandwidth in combination with spatio-spectral encoding imposed significant challenges on the gradient system, but the FID approach proved very robust to field inhomogeneities of ∆B0 = 45 ± 38 Hz (frequency offset ± spatial STD) and B1+ = 65 ± 11° within the MRSI volume of interest. Discussion: These preliminary findings highlight the potential of 10.5 T MRSI as a powerful imaging tool for probing cerebral metabolism. By providing unprecedented spatial and spectral resolution, this technology could offer a unique view into the metabolic intricacies of the human brain, but further technical developments will be necessary to optimize data quality and fully leverage the capabilities of 10.5 T MRSI.http://www.sciencedirect.com/science/article/pii/S1053811925000151MRSIUltra-high-field MRICerebral metabolismSpatio-spectral encodingConcentric ring trajectories10.5 tesla |
| spellingShingle | Lukas Hingerl Bernhard Strasser Simon Schmidt Korbinian Eckstein Guglielmo Genovese Edward J. Auerbach Andrea Grant Matt Waks Andrew Wright Philipp Lazen Alireza Sadeghi-Tarakameh Gilbert Hangel Fabian Niess Yigitcan Eryaman Gregor Adriany Gregory Metzger Wolfgang Bogner Małgorzata Marjańska Exploring in vivo human brain metabolism at 10.5 T: Initial insights from MR spectroscopic imaging NeuroImage MRSI Ultra-high-field MRI Cerebral metabolism Spatio-spectral encoding Concentric ring trajectories 10.5 tesla |
| title | Exploring in vivo human brain metabolism at 10.5 T: Initial insights from MR spectroscopic imaging |
| title_full | Exploring in vivo human brain metabolism at 10.5 T: Initial insights from MR spectroscopic imaging |
| title_fullStr | Exploring in vivo human brain metabolism at 10.5 T: Initial insights from MR spectroscopic imaging |
| title_full_unstemmed | Exploring in vivo human brain metabolism at 10.5 T: Initial insights from MR spectroscopic imaging |
| title_short | Exploring in vivo human brain metabolism at 10.5 T: Initial insights from MR spectroscopic imaging |
| title_sort | exploring in vivo human brain metabolism at 10 5 t initial insights from mr spectroscopic imaging |
| topic | MRSI Ultra-high-field MRI Cerebral metabolism Spatio-spectral encoding Concentric ring trajectories 10.5 tesla |
| url | http://www.sciencedirect.com/science/article/pii/S1053811925000151 |
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