Analyzing magnetic resonance spectroscopic signals with macromolecular contamination by the Morlet wavelet

We study the Morlet wavelet transform on characterizing Magnetic Resonance Spectroscopy (MRS) signals acquired at short echo-time. These MRS signals usually contain contributions from metabolites, water and a baseline which mainly originates from large molecules, known as mac-romolecules, and lipids. As its shape and intensity are not known a priori, the baseline accommodation becomes one of the major obstructions in in vivo short echo-time MRS quanti-fication. We acquired an in vivo macromolecule MRS signal on a horizontal 4.7T Biospec system by optimizing the inversion time, which represents the delay between the inversion pulse and the first pulse of the PRESS sequence. As a consequence, the metabolites are nullified while the others are maintained. The metabolite-nullified signal from a volume-of-interest cen-tralized in the hippocampus of a healthy mouse was a combi-nation of residual water, baseline and noise. Compared to the simulated signal of creatine, the signal decays much faster. The time-scale representation of the wavelet can therefore distin-guish the two signals without any additional pre-processing. The amplitude of the metabolite is also correctly derived al-though at earlier time it still has an effect of the baseline. In addition, we also show that the Morlet wavelet can be used to characterize different lineshapes, e.g. Lorentzian, Gaussian or Voigt, which are generally used to model the MRS signals. That is, the first derivative of the modulus of the wavelet trans-form relates to the damping effect of the Lorentzian lineshape while its second derivative indicates the second-order broaden-ing of the Gaussian and Voigt. The performance of the wavelet when applied to an in vitro creatine is also presented