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Relaxation corrected simulated MM model for improved fitting and quantification of 1H FID MRSI data
{Short TE MRS and very short TR (TR \textless 300) MRSI are popular methods to capture snapshots of the neurochemical profile; however, these popular methods suffer from strong influence from underlaying macromolecular signals. This work shows a simulation method developed at 9.4T and extendable to other field strengths to account for macromolecule signals. The method developed is compared to three more commonly used methods of accounting for macromolecule signals. Results show improved metabolite mapping by use of simulated macromolecule basis vectors.}
@misc{item_3319811, title = {{Relaxation corrected simulated MM model for improved fitting and quantification of 1H FID MRSI data}}, booktitle = {{2021 ISMRM \& SMRT Annual Meeting \& Exhibition (ISMRM 2021)}}, abstract = {{Short TE MRS and very short TR (TR \textless 300) MRSI are popular methods to capture snapshots of the neurochemical profile; however, these popular methods suffer from strong influence from underlaying macromolecular signals. This work shows a simulation method developed at 9.4T and extendable to other field strengths to account for macromolecule signals. The method developed is compared to three more commonly used methods of accounting for macromolecule signals. Results show improved metabolite mapping by use of simulated macromolecule basis vectors.}}, year = {2021}, slug = {item_3319811}, author = {Wright, AM and Murali Manohar, S and Ziegs, T and Henning, A} }