Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine
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LCModel and AMARES, two widely used quantitation tools for magnetic resonance spectroscopy (MRS) data, were employed to analyze simulated spectra similar to those typically obtained at short echo times (TEs) in the human brain at 1.5 T. The study focused mainly on the influence of signal-to-noise ratios (SNRs) and different linewidths on the accuracy and precision of the quantification results, and their effectiveness in accounting for the broad signal contribution of macromolecules and lipids (often called the baseline in in vivo MRS). ⋯ However, the more accurate quantitation of the sum of glutamate and glutamine (Glx) favored the use of LCModel. Metabolite-to-creatine ratios estimated by LCModel with extended prior knowledge are more accurate than absolute concentrations, and are nearly independent of SNR and line broadening.
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The purpose of this study was to test the utility of MR thermometry for monitoring the temperature rise on the brain surface and in the scalp induced by skull heating during ultrasound exposures. Eleven locations in three pigs were targeted with unfocused ultrasound exposures (frequency = 690 kHz; acoustic power = 8.2-16.5 W; duration = 20 s). ⋯ Characterization of the transducer showed that the average acoustic intensity was 1.3 W/cm(2) at an acoustic power of 10 W. The ability to monitor the temperature rise next to the skull with MRI-based thermometry, as shown here, will allow for safety monitoring during clinical trials of transcranial focused ultrasound.