Metabolite-sensitive analysis of magnetic resonance spectroscopic signals using the continuous wavelet transform KU Leuven
We introduce a new class of wavelets, called metabolite-based autocorrelation wavelets, for the analysis of magnetic resonance spectroscopic (MRS) signals by means of the continuous wavelet transform (CWT). Each MRS signal consists of a number of frequency components typical for the active nuclei and the chemical environment around them in a particular voxel. Identifying individual metabolite components is crucial for the evolving field of MRS ...