Skip to main content
Log in

Improving the detection of low concentration metabolites in magnetic resonance spectroscopy by digital filtering

  • Technical Note
  • Published:
Medical & Biological Engineering & Computing Aims and scope Submit manuscript

Abstract

In vivo detection and quantitation of metabolites is often limited by their low concentration. As far as magnetic resonance spectroscopy (MRS) is concerned, detection and quantitation can be significantly improved by reduction of the observed spectral width (SW). The reduction is limited to the spreading of resonances in the bandwidth unless high performance digital filters are used. Indeed, these filters avoid the folding of unwanted resonances such as water peak into the main frequency spectrum and therefore allow reduction of the spectral width to its optimal value. These filters are now available on most MRS systems but their use is not common even if, as we show in the particular case of proton MRS, a significant increase in signal-to-noise ratio (two-fold factor for SW reduction from 5000 Hz to 1351 Hz) can be achieved. This signal-to-noise improvement allows better quantitation accuracy.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Belguise, A. (1995): ‘La résonance magnétique numerique’,Anal. Mag.,23(1), pp. 57–62

    Google Scholar 

  • Bottomley, P.A. (1987): ‘Spatial localization in NMR spectroscopyin vivo’,Ann. N Y Acad. Sci.,508, 333–348

    Article  Google Scholar 

  • Cady, E.B. (1996), ‘Quantification of metabolites in human brain by proton magnetic resonance spectroscopy: methodologies, limitations, and achievements,’ inPodo, F., Bovee, W.M.M.J., de Certaines, J.D., Henrikesen, O., Leach, M.O. andLiebfritz, D. (Eds), BIOMED I Eurospin Annual 1995–1996, pp. 17–40, Istituto Superiore di Sanità, ROMA

    Google Scholar 

  • Delsuc, M.A., andLallemand, J.Y. (1986): ‘Improvement of dynamic range in NMR by oversampling’,J. Mag. Res.,69, 504–507

    Google Scholar 

  • Ernst, T., andHenning, J. (1995): ‘Improved water suppression for localizedin vivo 1H spectroscopy’,J. Magn. Reson,B106, 181–186

    Article  Google Scholar 

  • Hennig, J., Pfister, H., Ernst, T., andOtto, D. (1992): ‘Direct absolute quantitation of metabolites in the human brain within vivo localized proton spectroscopy’,NMR Biomed,5, 193–199

    Article  Google Scholar 

  • Kimmich, R., andHoepfel, D. (1987): ‘Volume selective multipulse spin-echo spectroscopy’,J. Magn. Reson.,72, 379–384

    Google Scholar 

  • Kreis, R., Koster, M., Kamber, M., Hoppeler, H., andBoesch, C. (1997): ‘Peak assignment in localized1H MR spectra of human muscle based on oral creatine supplemention’,Magn. Res. Med.,37, 159–163

    Article  Google Scholar 

  • Lu, D., Margouleff, C., Rubin, E., Labar, D., Schaul, N., Ishikawa, T., Kazumata, K., Antonini, A., Dhawan, V., Hyman, R.A., andEidelberg, D. (1997): ‘Temporal lobe epilepsy: correlation of proton magnetic resonance spectroscopy and18F-fluorodeoxyglucose positron emission tomography’,Magn. Res. Med.,37, 18–23

    Article  Google Scholar 

  • Oppenheim, A. V., andSchafer, R.W. (1989): ‘Discrete-time signal processing’ (Prentice-Hall, Englewood Cliffs, NJ)

    MATH  Google Scholar 

  • Wang, Y., andLi, S.J. (1998): ‘Differentiation of metabolic concentrations between gray matter and white matter of human brain byin vivo 1H magnetic resonance spectroscopy’,Magn. Res. Med.,39, 28–33

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to F. Franconi.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lemaire, L., Franconi, F., Lejeune, J.J. et al. Improving the detection of low concentration metabolites in magnetic resonance spectroscopy by digital filtering. Med. Biol. Eng. Comput. 37, 244–246 (1999). https://doi.org/10.1007/BF02513293

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02513293

Keywords

Navigation