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31P MRSI of the human brain at 9.4 T: Metabolic imaging applying low-rank denoising

MPG-Autoren
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Ruhm,  L
Research Group MR Spectroscopy and Ultra-High Field Methodology, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Dorst,  J
Research Group MR Spectroscopy and Ultra-High Field Methodology, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons133464

Avdievich,  NI
Research Group MR Spectroscopy and Ultra-High Field Methodology, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons215127

Wright,  A
Research Group MR Spectroscopy and Ultra-High Field Methodology, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84405

Mirkes,  C
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Bause,  J
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84187

Scheffler,  K
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84402

Henning,  A
Research Group MR Spectroscopy and Ultra-High Field Methodology, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zitation

Ruhm, L., Dorst, J., Avdievich, N., Wright, A., Mirkes, C., Bause, J., et al. (2019). 31P MRSI of the human brain at 9.4 T: Metabolic imaging applying low-rank denoising. Poster presented at 27th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2019), Montréal, QC, Canada.


Zitierlink: https://hdl.handle.net/21.11116/0000-0003-9CF7-7
Zusammenfassung
31P MRSI enables the imaging of important components of the energy and cell membrane metabolism but suffers from low intrinsic sensitivity. In this work, we tested the LORA and CLORA low-rank noise reduction approaches to improve the quality of 3D 31P MRSI data and present first in vivo results for 31P MRSI acquired from the human brain at ultrahigh field strength of 9.4 T.