Title :
Advanced signal processing methods for quantitation of resonances in magnetic resonance spectra
Author :
Wang, Yu ; Van Huffel, Sabine ; Vanhamme, Leentje ; Mastronardi, Nicola ; Van Hecke, P.
Author_Institution :
Dept. of Electr. Eng., Katholieke Univ., Leuven, Belgium
Abstract :
A careful comparison between principal component analysis (PCA) and Hankel total least squares (HTLS) based methods for estimating the resonances in sets of magnetic resonance (MR) spectra is presented. After a description of the methods, we compare their performance on simulated data sets and discuss their advantages and limitations
Keywords :
Hankel transforms; least squares approximations; magnetic resonance; magnetic resonance spectroscopy; principal component analysis; signal processing; Hankel total least squares-based methods; magnetic resonance spectra; performance; principal component analysis; resonance estimation; signal processing methods; simulated data sets; Biomedical signal processing; Data mining; Gaussian noise; Least squares approximation; Magnetic resonance; Matrix decomposition; Principal component analysis; Shape measurement; Signal processing; Signal processing algorithms;
Conference_Titel :
Computer-Based Medical Systems, 2000. CBMS 2000. Proceedings. 13th IEEE Symposium on
Conference_Location :
Houston, TX
Print_ISBN :
0-7695-0484-1
DOI :
10.1109/CBMS.2000.856877
