Computational aspects of exponential data fitting in Magnetic Resonance Spectroscopy

BENTHAM SCIENCE PUBLISHERS eBooks · 2010

Magnetic Resonance Spectroscopy (MRS) is one of the practical biomedical applications where exponential data fitting is an essential tool. An MRS signal is a complex-valued time-domain signal that satisfies in theory a model expressed as a sum of complex damped exponentials. The model parameters provide useful information about metabolites, i.e., about the chemical content of the sample or tissue under study. In vivo MRS signals are characterized by the presence of noise and by deviations from the theoretical model. Along the years many fitting methods have been employed for the so-called “metabolite quantification

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