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  Challenges in estimating T1 Relaxation Times of Macromolecules in the Human Brain at 9.4T

Murali-Manohar, S., Wright, A., & Henning, A. (2018). Challenges in estimating T1 Relaxation Times of Macromolecules in the Human Brain at 9.4T. Poster presented at MRS Workshop 2018 Metabolic Imaging, Utrecht, The Netherlands.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0002-64D2-0 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-64D3-F
Genre: Poster

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 Creators:
Murali-Manohar, S1, 2, Author              
Wright, AM1, 2, Author              
Henning, A1, 2, Author              
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
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: In order to determine the T1 relaxation times of the metabolites in human brain including the ones that have either shorter T2 relaxation times or represent J-coupled spin systems, shorter TE times have to be chosen where there is a significant macromolecular contribution. Therefore, the behaviour of macromolecules (MMs) and their relaxation have to be understood clearly. In [1] the T1 relaxation time of the macromolecular baseline has been determined as a whole using single inversion recovery but values have not been provided for individual MMs, in [2] it has been estimated for the MM peak at 0.93 ppm. Here we attempt to understand the T1 relaxation pattern for the individual macromolecules at 9.4T in the human brain with a double inversion recovery (DIR) technique in order to measure the relaxation of individual MM components which relax at different rates and uniquely impact the overlying metabolite spectrum in traditional excitation approaches.

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 Dates: 2018-10
 Publication Status: Published online
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Title: MRS Workshop 2018 Metabolic Imaging
Place of Event: Utrecht, The Netherlands
Start-/End Date: 2018-10-03 - 2018-10-05

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Title: MRS Workshop 2018 Metabolic Imaging
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: 35 Start / End Page: - Identifier: -