Forecasting the quality of water-suppressed (1) H MR spectra based on a single-shot water scan.

Kyathanahally, Sreenath Pruthviraj; Kreis, Roland (2017). Forecasting the quality of water-suppressed (1) H MR spectra based on a single-shot water scan. Magnetic resonance in medicine, 78(2), pp. 441-451. Wiley-Liss 10.1002/mrm.26389

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Text PrepeerRefVsRev2.pdf - Submitted Version Available under License Publisher holds Copyright. This is the pre-peer reviewed version of the following article: Kyathanahally, Sreenath Pruthviraj; Kreis, Roland (2016). Forecasting the quality of water-suppressed (1) H MR spectra based on a single-shot water scan. Magnetic resonance in medicine, which has been published in final form at http://dx.doi.org/10.1002/mrm.26389. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. Download (1MB) | Preview

PURPOSE

To investigate whether an initial non-water-suppressed acquisition that provides information about the signal-to-noise ratio (SNR) and linewidth is enough to forecast the maximally achievable final spectral quality and thus inform the operator whether the foreseen number of averages and achieved field homogeneity is adequate.

METHODS

A large range of spectra with varying SNR and linewidth was simulated and fitted with popular fitting programs to determine the dependence of fitting errors on linewidth and SNR. A tool to forecast variance based on a single acquisition was developed and its performance evaluated on simulated and in vivo data obtained at 3 Tesla from various brain regions and acquisition settings.

RESULTS

A strong correlation to real uncertainties in estimated metabolite contents was found for the forecast values and the Cramer-Rao lower bounds obtained from the water-suppressed spectra.

CONCLUSION

It appears to be possible to forecast the best-case errors associated with specific metabolites to be found in model fits of water-suppressed spectra based on a single water scan. Thus, nonspecialist operators will be able to judge ahead of time whether the planned acquisition can possibly be of sufficient quality to answer the targeted clinical question or whether it needs more averages or improved shimming. Magn Reson Med, 2016. © 2016 International Society for Magnetic Resonance in Medicine.

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