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Abstract #2915

Investigating the effect of spectral linewidth on metabolite measurement bias in short-TE MRS

Jamie Near 1

1 Department of Psychiatry, McGill University, Montral, Qubec, Canada

It has been shown previously that when LCModel is used for spectral quantification of short-TE MRS data, increasing spectral linewidth results in a decrease in the estimated concentration of several major metabolites. However, the source of these systematic errors is not clearly understood. The primary aim of this study is to investigate the underlying cause of the strong dependence between spectral linewidth and LCModel measurement bias. These investigations are achieved through LCModel analysis of a large number of simulated MRS datasets with varying linewidths. The results indicate that reduced concentration estimates are due to an increase in the LCModel baseline estimate at higher spectral linewidths.

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