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

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.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0003-9CF7-7 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-C726-2
Genre: Poster

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 Creators:
Ruhm, L1, 2, Author              
Dorst, J1, 2, Author              
Avdievich, NI1, 2, Author              
Wright, A1, 2, Author              
Mirkes, C2, 3, Author              
Bause, J2, 3, Author              
Scheffler, K2, 3, Author              
Henning, A1, 2, Author              
Affiliations:
1Research Group MR Spectroscopy and Ultra-High Field Methodology, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528692              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
3Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              

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 Abstract: 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.

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 Dates: 2019-05
 Publication Status: Published online
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Title: 27th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2019)
Place of Event: Montréal, QC, Canada
Start-/End Date: 2019-05-11 - 2019-05-16

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Title: ISMRM 27th Annual Meeting & Exhibition
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: 2477 Start / End Page: - Identifier: -