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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