Title :
Automatic extraction of 1H magnetic resonance spectroscopy parameters using a signal decomposition method based upon wavelet packets
Author :
Mainardi, L.T. ; Origgi, D. ; Lucia, P. ; Paganini, A. ; Scotti, G. ; Cerutti, S.
Author_Institution :
Dept. of Biomed. Eng., Polytech.. Univ., Milan, Italy
fDate :
30 Oct-2 Nov 1997
Abstract :
A method for the automatic quantification of metabolic information from a 1H magnetic resonance spectroscopy (MRS) signal is presented. The method is based on a wavelet packet (WP) decomposition of the MRS signal. The spectroscopic parameters are quantified through the linear-prediction singular value decomposition (LPSVD) method applied on the different sub-signals obtained by WP analysis. As a result, relevant metabolic information, such as the relative concentrations of metabolites, is automatically computed
Keywords :
NMR spectroscopy; biomedical NMR; medical signal processing; proton magnetic resonance; singular value decomposition; wavelet transforms; 1H magnetic resonance spectroscopy parameters; automatic spectroscopic parameter extraction; linear-prediction singular value decomposition; metabolic information; proton magnetic resonance; relative metabolite concentration; signal decomposition method; sub-signals; wavelet packets; Biomedical engineering; Data mining; Frequency conversion; Humans; Magnetic resonance; Signal processing; Signal resolution; Singular value decomposition; Spectroscopy; Wavelet packets;
Conference_Titel :
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-4262-3
DOI :
10.1109/IEMBS.1997.757029
