Unknown

Dataset Information

Results and interpretation of a fitting challenge for MR spectroscopy set up by the MRS study group of ISMRM.


ABSTRACT:

Purpose

Fitting of MRS data plays an important role in the quantification of metabolite concentrations. Many different spectral fitting packages are used by the MRS community. A fitting challenge was set up to allow comparison of fitting methods on the basis of performance and robustness.

Methods

Synthetic data were generated for 28 datasets. Short-echo time PRESS spectra were simulated using ideal pulses for the common metabolites at mostly near-normal brain concentrations. Macromolecular contributions were also included. Modulations of signal-to-noise ratio (SNR); lineshape type and width; concentrations of γ-aminobutyric acid, glutathione, and macromolecules; and inclusion of artifacts and lipid signals to mimic tumor spectra were included as challenges to be coped with.<

SUBMITTER: Marjanska M 

PROVIDER: S-EPMC8616800 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature