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Relaxation corrected and Sequence-dependent Macromolecule Baseline Model

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/persons/resource/persons215127

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

/persons/resource/persons215115

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

/persons/resource/persons84402

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

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Citation

Wright, A., Murali Manohar, S., & Henning, A. (2019). Relaxation corrected and Sequence-dependent Macromolecule Baseline Model. Poster presented at 27th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2019), Montréal, QC, Canada.


Cite as: https://hdl.handle.net/21.11116/0000-0003-970E-4
Abstract
In short echo time spectroscopy sequences macromolecular signals may strongly influence the quantification of metabolite spectra they underlay. In this work we present a method for simulating a MM basis set that is tailored toward chosen sequences and sequence parameters with the aim to improve the accuracy of metabolite measurements in vivo. We show that utilizing a simulated macromolecule basis set while considering the relaxation behavior of individual macromolecular resonances can produce metabolite quantification results of similar quality to that of a dedicatedly measured MM basis set when applied to the same spectra of interest.