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

fYear

2000

fDate

2000

Firstpage

63

Lastpage

68

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems, 2000. CBMS 2000. Proceedings. 13th IEEE Symposium on

Conference_Location

Houston, TX

ISSN

1063-7125

Print_ISBN

0-7695-0484-1

Type

conf

DOI

10.1109/CBMS.2000.856877

Filename

856877