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Abstract #1967

MRS data quantification through the KBDM: reducing the effect of noise by using multiple signal truncations

Danilo Mendes Dias Delfino da Silva 1 , Thales Sinelli Lima 1 , Alberto Tanns 1 , Claudio Jos Magon 1 , and Fernando Fernandes Paiva 1

1 Department of Physics and Interdisciplinary Science, Sao Carlos Institute of Physics, University of Sao Paulo, Sao Carlos, Sao Paulo, Brazil

KBDM is a parametric non-linear method that allows fitting and spectral analysis of experimentally measured transient time signals. The method has already shown its potential in the MR field and its characteristics may prove valuable for clinical MRS data processing. However, the method accuracy appears to be correlated to the noise level, which may impose a limitation for this application due to typical noise present at in vivo data. Thus, the main goal of this work is to show a strategy to reduce noise impact in order to enable the method to be used on clinical MRS data processing.

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