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PubMed · 15140436

Parametric methods for frequency-selective MR spectroscopy-a review.

Niclas Sandgren·Yngve Selén·Petre Stoica·Jian Li
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Abstract

Accurate quantitation of the spectral components in a pre-selected frequency band for magnetic resonance spectroscopy (MRS) signals is a frequently addressed problem in the MR community. One obvious application for such a frequency-selective technique is to lower the computational burden in situations when the measured data sequence contains too many samples to be processed using a standard full-spectrum method. Among the frequency-selective methods previously proposed in the literature, only a few possess the two features of primary concern: high robustness against interferences from out-of-band components and low computational complexity. In this survey paper we consider five spectral analysis methods which can be used for MRS signal parameter estimation in a selected frequency band. We re-derive the filter diagonalization method (FDM) in a new way that allows an easy comparison to the other methods presented. Then we introduce a frequency-selective version of the method of direction estimation (MODE) which has not been applied to MR-spectroscopy before. In addition, we present a filtering and decimation technique using a maximum phase bandpass FIR-filter and relate it to a similar ARMA-modeling approach known as SB-HOYWSVD (sub-band high-order Yule-Walker singular value decomposition). Finally, we study the numerical performances of these four methods and compare them to that of the recently introduced SELF-SVD (Singular Value Decomposition-based method usable in a SELected Frequency band) in several examples using simulated MR data, and discuss the benefits and disadvantages of each technique.

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AlgorithmsMagnetic Resonance SpectroscopySignal Processing, Computer-AssistedComparative StudyEvaluation StudyJournal ArticleResearch Support, Non-U.S. Gov'tReviewValidation Study

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BibTeXRIS

Niclas Sandgren, Yngve Selén, Petre Stoica, Jian Li. 2004. Parametric methods for frequency-selective MR spectroscopy-a review.. https://doi.org/10.1016/j.jmr.2004.03.011

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