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Poster

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

MPG-Autoren
/persons/resource/persons215115

Murali-Manohar,  S
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Research Group MR Spectroscopy and Ultra-High Field Methodology, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons215127

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

/persons/resource/persons84402

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

Externe Ressourcen

https://mrsworkshop2018.org/wp-content/uploads/abstracts/Saipavitra%20Murali-Manohar.pdf
(Zusammenfassung)

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Zitation

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.


Zitierlink: https://hdl.handle.net/21.11116/0000-0002-64D2-0
Zusammenfassung
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.