The filtering approach to solvent peak suppression in MRS: A critical review

Suppressing the solvent peak is important in many applications of biomedica l NMR spectroscopy in order to quantify the metabolites with a great accura cy. Among the postprocessing methods proposed in the literature, many deal with the concept of filtering. However, several proposals lack a theoretica l perspective and some have not been explicitly applied to quantification p roblems. The present article is intended to bridge this gap: five methods a re analyzed from a theoretical perspective. Subsequently the different meth ods are applied to the same set of data, and then the latter are quantified using the model fitting method AMARES. With our set, the scheme proposed b y T. Sundin et al. (J. Magn. Reson. 139(2), 189-204 (1999)) proved to be th e most reliable method. (C) 2001 Academic Press.