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  Quantitative T1-relaxation corrected metabolite mapping of 12 metabolites in the human brain at 9.4 T

Wright, A., Murali-Manohar, S., & Henning, A. (2022). Quantitative T1-relaxation corrected metabolite mapping of 12 metabolites in the human brain at 9.4 T. NeuroImage, 263: 119574. doi:10.1016/j.neuroimage.2022.119574.

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Wright, AM1, Author                 
Murali-Manohar, S2, Author                 
Henning, A2, Author                 
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1Institutional Guests, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3505519              
2Research Group MR Spectroscopy and Ultra-High Field Methodology, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528692              

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 Abstract: Magnetic resonance spectroscopic imaging (MRSI) is a non-invasive imaging modality that enables observation of metabolites. Applications of MRSI for neuroimaging have shown promise for monitoring and detecting various diseases. This study builds off previously developed techniques of short TR, 1H FID MRSI by correcting for T1-weighting of the metabolites and utilizing an internal water reference to produce quantitative (mmol kg−1) metabolite maps. This work reports and shows quantitative metabolite maps for 12 metabolites for a single slice. Voxel-specific T1-corrections for water are common in MRSI studies; however, most studies use either averaged T1-relaxation times to correct for T1-weighting of metabolites or omit this correction step entirely. This work employs the use of voxel-specific T1-corrections for metabolites in addition to water. Utilizing averaged T1-relaxation times for metabolites can bias metabolite maps for metabolites that have strong differences between T1-relaxation for GM and WM (i.e. Glu). This work systematically compares quantitative metabolite maps to single voxel quantitative results and qualitatively compares metabolite maps to previous works.

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 Dates: 2022-092022-11
 Publication Status: Issued
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 Identifiers: DOI: 10.1016/j.neuroimage.2022.119574
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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: 13 Volume / Issue: 263 Sequence Number: 119574 Start / End Page: - Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166