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Frequency-domain quantification based on the singular value decomposition and frequency-selection for magnetic resonance spectra / 生物医学工程学杂志
Journal of Biomedical Engineering ; (6): 249-252, 2010.
Article in Chinese | WPRIM | ID: wpr-341642
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.
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Full text: Available Index: WPRIM (Western Pacific) Main subject: Algorithms / Computer Simulation / Signal Processing, Computer-Assisted / Brain / Magnetic Resonance Spectroscopy / Fourier Analysis / Metabolism / Methods Limits: Humans Language: Chinese Journal: Journal of Biomedical Engineering Year: 2010 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Algorithms / Computer Simulation / Signal Processing, Computer-Assisted / Brain / Magnetic Resonance Spectroscopy / Fourier Analysis / Metabolism / Methods Limits: Humans Language: Chinese Journal: Journal of Biomedical Engineering Year: 2010 Type: Article