• DocumentCode
    475571
  • Title

    Signal-to-noise ratio improvement of cardiac magnetic resonance spectroscopy signals acquired by phased array coils: A simulation based approach

  • Author

    Martini, N. ; Santarelli, M.F. ; Milanesi, Matteo ; Giovannetti, G. ; Positano, V. ; Vanello, Nicola ; Landini, Luigi

  • Author_Institution
    Interdepartmental Res. Center "E. Piaggio", Pisa Univ., Pisa
  • fYear
    2008
  • fDate
    14-16 July 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Magnetic resonance spectroscopy (MRS) is a non-invasive technique for obtaining in vivo biochemical information. Since the amplitude of the peaks in magnetic resonance (MR) spectra is proportional to the metabolite concentrations, obtaining the best signal-to-noise ratio (SNR) is fundamental for the accurate quantification of the metabolites. New acquisition strategies for the improvement of the intrinsic low SNR of MRS signals have been designed, without increasing the examination time. These approaches are based on the use of multiple receiving coils, called phased array coils. In this context one of the main challenges is to determine the best combination of the acquired signals that optimize the resulting SNR. This paper describes a novel method for the combination of MR signals acquired by phased array coils, even in presence of correlated noise between the acquisition channels. Performance evaluation is carried out on simulated 1H-MRS signals and experimental results are obtained on in vivo cardiac 1H-MR spectra.
  • Keywords
    biomedical MRI; cardiology; cardiac magnetic resonance spectroscopy signals; correlated noise; multiple receiving coils; phased array coils; signal-to-noise ratio; PCA whitening; SNR improvement; magnetic resonance spectroscopy; phased array coils;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Advances in Medical, Signal and Information Processing, 2008. MEDSIP 2008. 4th IET International Conference on
  • Conference_Location
    Santa Margherita Ligure
  • ISSN
    0537-9989
  • Print_ISBN
    978-0-86341-934-8
  • Type

    conf

  • Filename
    4609102