Quantification method using the Morlet wavelet for magnetic resonance spectroscopic signals with macromolecular contamination.
We study the Morlet wavelet transform on characterizing Magnetic Resonance Spectroscopic (MRS) signals acquired at short echo-time. These signals contain contributions from metabolites, water and a baseline which mainly originates from large molecules, known as macromolecules, and lipids. The baseline signal decays faster than the metabolite ones. Therefore, by making use of the time-scale representation of the wavelet, the two signals can be distinguished without any additional pre-processing. This is confirmed by the experimental results which show that the Morlet wavelet can correctly quantify the metabolite contributions even when a baseline is embedded in the MRS signals.
Suvichakorn
Aimamorn
A
Institut de physique théorique (FYMA), Université catholique de Louvain, Louvain-la-Neuve, Belgium.
Ratiney
Hélène
H
Bucur
Adriana
A
Cavassila
Sophie
S
Antoine
Jean-Pierre
JP
D000465:Algorithms; D003401:Creatine / Q000737:chemistry; D005583:Fourier Analysis; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008055:Lipids / Q000737:chemistry; D046911:Macromolecular Substances; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D015233:Models, Statistical; D019047:Phantoms, Imaging; D012044:Regression Analysis; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted
D008055:Lipids; D046911:Macromolecular Substances; D003401:Creatine