Title :
Magnetic resonance spectroscopic quantitation via complex principal component analysis
Author :
Wang, Yu ; Van Huffel, Sabine ; Heyvaert, Els ; Vanhamme, Leentie ; Mastronardi, N. ; Van Hecke, Paul
Author_Institution :
Dept. of Electr. Eng., Katholieke Univ., Leuven, Heverlee, Belgium
Abstract :
A careful comparison between the principal component analysis (PCA) and the Hankel total least squares (HTLS) based methods for estimating the resonances in sets of magnetic resonance (MR) spectra is presented. In addition, it is shows how to align the spectra in frequency before quantitation by applying PCA plus linear regression (LR) and cross-correlation
Keywords :
correlation methods; least squares approximations; magnetic resonance; principal component analysis; spectral analysis; spectroscopy; statistical analysis; Hankel total least squares; PCA; computational emergency; cross-correlation; linear regression; magnetic resonance spectra; magnetic resonance spectroscopic quantitation; magnetic resonance spectroscopic signals; principal component analysis; resonance estimation; Biomedical signal processing; Frequency; Least squares methods; Linear regression; Magnetic resonance; Nuclear magnetic resonance; Principal component analysis; Shape; Signal processing algorithms; Spectroscopy;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.893514
