• DocumentCode
    1608468
  • Title

    Metabolite concentrations of healthy mouse brain by Magnetic Resonance Spectroscopy at 7 Tesla

  • Author

    Cudalbu, C. ; Cavassila, S. ; Ratiney, H. ; Beuf, O. ; Briguet, A. ; Graveron-Demilly, D.

  • Author_Institution
    Laboratoire de RMN, Univ. Claude Bernard, Villeurbanne
  • fYear
    2006
  • Firstpage
    1392
  • Lastpage
    1395
  • Abstract
    In vivo 1H short echo-time magnetic resonance spectra are made up of overlapping spectral components from many metabolites. Typically, they exhibit low signal-to-noise ratio. Metabolite concentrations are obtained by quantitating such spectra. Quantitation is difficult due to the superposition of metabolite resonances, macromolecules, lipids and water residue contributions. A fitting algorithm invoking extensive prior knowledge is needed. We quantitated 1H in vivo mouse brain spectra obtained at 7 Tesla using the time-domain QUEST method combined with in vitro metabolite basis set signals. Brain metabolite concentrations estimated from eight mouse brain signals are compared to previously reported results
  • Keywords
    biomedical NMR; brain; lipid bilayers; macromolecules; medical signal processing; molecular biophysics; 7 tesla; fitting algorithm; healthy mouse brain; in vivo 1H short echo-time magnetic resonance spectra; lipids; macromolecules; magnetic resonance spectroscopy; metabolite concentrations; metabolite resonances; time-domain QUEST method; water residue contributions; Coils; In vitro; In vivo; Lipidomics; Magnetic resonance; Mice; Parkinson´s disease; Signal to noise ratio; Spectroscopy; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1616689
  • Filename
    1616689