• DocumentCode
    3534224
  • Title

    Handling arbitrary unknown lineshape in in vivo MRS without searching in function space

  • Author

    Popa, E. ; Karras, D.A. ; Mertzios, B.G. ; Sima, D. ; de Beer, R. ; van Ormondt, D. ; Graveron-Demilly, D.

  • Author_Institution
    Lab. CREATIS-RMN, Univ Lyon 1, Lyon, France
  • fYear
    2010
  • fDate
    1-2 July 2010
  • Firstpage
    361
  • Lastpage
    364
  • Abstract
    In vivo Magnetic Resonance Spectroscopy (MRS) is the only technique that can non-invasely detect metabolites at arbitrary locations inside humans and animals. Because metabolites serve as markers of disease, estimation of their in vivo concentrations (quantitation) is important. Metabolite quantitation suffers when the model function of the in vivo MRS signal is only partially known. The present work concentrates on handling arbitrary unknown MRS lineshape, introducing a new approach to the problem addressed at IST 2008. Its main characteristic is that searching in function space, normally needed for modelling lineshapes of a priori unknown form, is circumvented.
  • Keywords
    biochemistry; biomedical MRI; biomedical measurement; magnetic resonance spectroscopy; medical signal processing; arbitrary unknown lineshape; disease markers; in vivo MRS; in vivo metabolite concentration; in vivo metabolite quantitation; magnetic resonance spectroscopy; metabolite detection; Animals; Diseases; Fourier transforms; Frequency domain analysis; Humans; In vivo; Magnetic fields; Magnetic resonance; Space technology; Spectroscopy; Biomarkers; Function Space; Magnetic Resonance Spectroscopy (MRS); Metabolite Quantitation; Non-invasive; Semi-Parametric; Unknown Lineshape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Imaging Systems and Techniques (IST), 2010 IEEE International Conference on
  • Conference_Location
    Thessaloniki
  • Print_ISBN
    978-1-4244-6492-0
  • Type

    conf

  • DOI
    10.1109/IST.2010.5548463
  • Filename
    5548463