Multichannel Quantiication of Biomedical Magnetic Resonance Spectroccopy Signals 1 Multichannel Quantiication of Biomedical Magnetic Resonance Spectroscopy Signals

Quantiication of individual magnetic resonance spectroscopy (MRS) signals modeled as a sum of exponentially damped sinusoids, is possible using interactive nonlinear least-squares tting methods which provide maximum likelihood parameter estimates or using fully automatic, but statistically suboptimal black-box methods. In kinetic experiments consecutive time series of MRS spectra are measured in which some of the parameters are known to remain constant over time. The purpose of this paper is to show how the previously mentioned methods can be extended to the simultaneous processing of all spectra in the time series using this additional information between the spectra. We will show that this approach yields statistically better results than processing the diierent signals separately.