How the signal‐to‐noise ratio influences hyperpolarized 13C dynamic MRS data fitting and parameter estimation

Maria Filomena Santarelli, Vincenzo Positano, Giulio Giovannetti, Francesca Frijia, Luca Menichetti, Jan Henrik Ardenkjær-Larsen, Daniele De Marchi, Vincenzo Lionetti, Giovanni Aquaro, Massimo Lombardi, Luigi Landini

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

MRS of hyperpolarized 13C‐labeled compounds represents a promising technique for in vivo metabolic studies. However, robust quantification and metabolic modeling are still important areas of investigation. In particular, time and spatial resolution constraints may lead to the analysis of MRS signals with low signal‐to‐noise ratio (SNR). The relationship between SNR and the precision of quantitative analysis for the evaluation of the in vivo kinetic behavior of metabolites is unknown. In this article, this topic is addressed by Monte Carlo simulations, covering the problem of MRS signal model parameter estimation, with strong emphasis on the peak amplitude and kinetic model parameters. The results of Monte Carlo simulation were confirmed by in vivo experiments on medium‐sized animals injected with hyperpolarized [1‐13C]pyruvate. The results of this study may be useful for the establishment of experimental planning and for the optimization of kinetic model estimation as a function of the SNR value.
Original languageEnglish
JournalN M R in Biomedicine
Volume25
Issue number7
Pages (from-to)925-934
ISSN0952-3480
DOIs
Publication statusPublished - 2012

Keywords

  • MRS
  • Hyperpolarized nuclei
  • Hyperpolarized [1-13C]pyruvate
  • Signal-to-noise ratio
  • Kinetic model
  • Dynamic MRS
  • In vivo cardiac metabolism

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