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Poster

In vivo metabolite quantification using ERETIC with corrections for changes in the RF transmission and recepetion field

MPG-Autoren
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Avdievich,  NI
Research Group MR Spectroscopy and Ultra-High Field Methodology, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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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;
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zitation

Zoelch, N., Hock, A., Avdievich, N., & Henning, A. (2016). In vivo metabolite quantification using ERETIC with corrections for changes in the RF transmission and recepetion field. Poster presented at 24th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2016), Singapore.


Zitierlink: https://hdl.handle.net/21.11116/0000-0000-7BA3-E
Zusammenfassung
With ERETIC (Electric Reference To access In vivo Concentrations) metabolite signals measured in vivo are referenced to a signal measured in a phantom while directly correcting for differences in the coli loading conditions between the in vivo and in vitro measurement. This is beneficial compared to using an internal reference because no assumption about the concentration or the relaxation rate of the internal reference is need. However in contrast to the signal of an internal reference the ERETIC signal contains no information about B1 during transmission or reception and changes in B1 between the in vivo and in vitro measurement or at different positions are misinterpreted as metabolite concentration changes. The aim of this work was to tackle this problem by incorporating reception sensitivity corrections into the ERETIC method and by using a volume based power optimization to avoid differences during transmission. As a result, the obtained metabolite concentrations agree well with the values obtained with internal water referencing in healthy volunteers.