Numerical simulations of localized high field 1H MR spectroscopy.
The limited bandwidths of volume selective RF pulses in localized in vivo MRS experiments introduce spatial artifacts that complicate spectral quantification of J-coupled metabolites. These effects are commonly referred to as a spatial interference or "four compartment" artifacts and are more pronounced at higher field strengths. The main focus of this study is to develop a generalized approach to numerical simulations that combines full density matrix calculations with 3D localization to investigate the spatial artifacts and to provide accurate prior knowledge for spectral fitting. Full density matrix calculations with 3D localization using experimental pulses were carried out for PRESS (TE=20, 70 ms), STEAM (TE=20, 70 ms) and LASER (TE=70 ms) pulse sequences and compared to non-localized simulations and to phantom solution data at 4 T. Additional simulations at 1.5 and 7 T were carried out for STEAM and PRESS (TE=20 ms). Four brain metabolites that represented a range from weak to strong J-coupling networks were included in the simulations (lactate, N-acetylaspartate, glutamate and myo-inositol). For longer TE, full 3D localization was necessary to achieve agreement between the simulations and phantom solution spectra for the majority of cases in all pulse sequence simulations. For short echo time (TE=20 ms), ideal pulses without localizing gradients gave results that were in agreement with phantom results at 4 T for STEAM, but not for PRESS (TE=20). Numerical simulations that incorporate volume localization using experimental RF pulses are shown to be a powerful tool for generation of accurate metabolic basis sets for spectral fitting and for optimization of experimental parameters.
Kaiser
Lana G
LG
Northern California Institute for Research and Education, San Francisco, CA 97121, USA. lana.kaiser@ucsf.edu
Young
Karl
K
Matson
Gerald B
GB
D000818:Animals; D001923:Brain Chemistry; D003198:Computer Simulation; D006801:Humans; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D008954:Models, Biological; D008956:Models, Chemical; D011522:Protons; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
D011522:Protons
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