Title :
Metabolite-based wavelets for analyzing magnetic resonance spectroscopic signals
Author :
Lemke, C. ; Schuck, A., Jr. ; Antoine, J.-P. ; Sima, D.M. ; Garcia, M. I Osorio
Author_Institution :
Inst. de Rech. en Math. et Phys., Univ. Catholique de Louvain, Louvain-la-Neuve, Belgium
Abstract :
We analyze Magnetic Resonance Spectroscopic signals by the continuous wavelet transform. Instead of the standard (Morlet) wavelet, we introduce a new class of wavelets, derived from the metabolite data themselves, using the properly normalized autocorrelation function of each signal. This allows to detect without ambiguity the presence of a given metabolite in a signal consisting of many different components.
Keywords :
correlation methods; magnetic resonance spectroscopy; signal processing; wavelet transforms; autocorrelation function; continuous wavelet transform; magnetic resonance spectroscopic signals; metabolite based wavelet; Autocorrelation; Continuous wavelet transforms; Discrete wavelet transforms; Lipidomics; Magnetic analysis; Magnetic resonance; Signal analysis; Spectroscopy; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Imaging Systems and Techniques (IST), 2010 IEEE International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
978-1-4244-6492-0
DOI :
10.1109/IST.2010.5548527
