The Use of Continuous Regularization in the Automated Analysis of MRS Time-Domain Data

Author： Totz J. van den Boogaart A. van Huffel S. Graveron-demilly D. Dologlou I. Heidler R. Michel D.

ISSN： 1090-7807

Source： Journal of Magnetic Resonance, Vol.124, Iss.2, 1997-02, pp. : 400-409

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Abstract

In this paper, it is shown how the advantages of continuous regularization (CR) can be exploited to achieve an improved, fully automated LPSVD analysis of MRS time-domain data. The main advantage of CR is its ability to determine the number of spectral components even at low signal-to-noise ratios, which suggested its use for in vivo spectroscopy. Estimation of the spectral parameters is possible. Two alternatives of automated data-analysis schemes are thoroughly investigated by means of Monte Carlo studies. The results suggest the combination of CR for model-order estimation with other methods for more-accurate parameter estimation. Several possible combinations, including those with an improved enhancement procedure and a total-least-squares method for quantitation, are discussed. Recommendations are given for spectral analysis, and a new data-analysis protocol which performs significantly better than previously used protocols of the same type is proposed.