Frequency-domain quantification based on the singular value decomposition and frequency-selection for magnetic resonance spectra.
- Author:
Kuo MEN
1
;
Hong QUAN
;
Peipei YANG
;
Ting CAO
;
Weihao LI
Author Information
1. Lab of Medical Physics, College of Physics and Technology, Wuhan University, Wuhan 430072, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Brain;
metabolism;
Computer Simulation;
Fourier Analysis;
Humans;
Magnetic Resonance Spectroscopy;
methods;
Signal Processing, Computer-Assisted
- From:
Journal of Biomedical Engineering
2010;27(2):249-252
- CountryChina
- Language:Chinese
-
Abstract:
The frequency-domain magnetic resonance spectroscopy (MRS) is achieved by the Fast Fourier Transform (FFT) of the time-domain signals. Usually we are only interested in the portion lying in a frequency band of the whole spectrum. A method based on the singular value decomposition (SVD) and frequency-selection is presented in this article. The method quantifies the spectrum lying in the interested frequency band and reduces the interference of the parts lying out of the band in a computationally efficient way. Comparative experiments with the standard time-domain SVD method indicate that the method introduced in this article is accurate and timesaving in practical situations.
