Dont use relative Cramer Rao lower bounds for elimination of low quality data!

It is demonstrated that the use of relative Cramer-Rao Lower Bounds (CRLB) for quality filtering can easily lead to wrong conclusions either to believe in metabolic alterations where there are none, or to miss significant effects. This is illustrated with synthetic examples. In addition, consequent application of rejection of data with high relative error prevents the clinical use of MRS in any disease leading to very low metabolite levels. CRLB are valuable to judge the trust one can have in a MRS-based measurement, but it has to be judged either as an absolute value or relative to the normal/control levels.

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