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  Relaxation corrected simulated MM model for improved fitting and quantification of 1H FID MRSI data

Wright, A., Murali Manohar, S., Ziegs, T., & Henning, A. (2021). Relaxation corrected simulated MM model for improved fitting and quantification of 1H FID MRSI data. Poster presented at 2021 ISMRM & SMRT Annual Meeting & Exhibition (ISMRM 2021).

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Item Permalink: https://hdl.handle.net/21.11116/0000-0008-8647-1 Version Permalink: https://hdl.handle.net/21.11116/0000-0008-8648-0
Genre: Poster

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https://www.ismrm.org/21/program-files/D-125.htm (Abstract)
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 Creators:
Wright, AM1, 2, Author           
Murali Manohar, S1, 2, Author           
Ziegs, T1, 2, 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              

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 Abstract: Short TE MRS and very short TR (TR < 300) MRSI are popular methods to capture snapshots of the neurochemical profile; however, these popular methods suffer from strong influence from underlaying macromolecular signals. This work shows a simulation method developed at 9.4T and extendable to other field strengths to account for macromolecule signals. The method developed is compared to three more commonly used methods of accounting for macromolecule signals. Results show improved metabolite mapping by use of simulated macromolecule basis vectors.

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 Dates: 2021-05
 Publication Status: Published online
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Title: 2021 ISMRM & SMRT Annual Meeting & Exhibition (ISMRM 2021)
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Start-/End Date: 2021-05-15 - 2021-05-20

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Title: 2021 ISMRM & SMRT Annual Meeting & Exhibition (ISMRM 2021)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: 2007 Start / End Page: - Identifier: -