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

Volume

3

fYear

2000

fDate

2000

Firstpage

2074

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-5747-7

Type

conf

DOI

10.1109/ICOSP.2000.893514

Filename

893514