Spectral quantification methods provide absolute concentration estimates of metabolites from data acquired using in vivo MR spectroscopy. Cramér-Rao Lower Bounds (CRLB) are commonly employed as a minimum estimate of concentration error; however, absolute quantification relies on more than simply the uncertainty of Linear Combination Modeling (LCM). The uncertainties of both metabolite (e.g. T1, T2) and sequence-specific parameters (e.g. TR, TE), are generally ignored, leading to a systemic overestimation of accuracy. In this study, we present an analysis using the propagation of uncertainty to derive a more comprehensive estimate of the overall error of metabolite quantification.
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