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
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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