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Relaxation corrected and Sequence-dependent Macromolecule Baseline Model
{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.}
@misc{item_3054634, title = {{Relaxation corrected and Sequence-dependent Macromolecule Baseline Model}}, booktitle = {{ISMRM 27th Annual Meeting \& Exhibition}}, 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.}}, year = {2019}, slug = {item_3054634}, author = {Wright, A and Murali Manohar, S and Henning, A} }
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