How the signal‐to‐noise ratio influences hyperpolarized 13C dynamic MRS data fitting and parameter estimation
Publication: Research - peer-review › Journal article – Annual report year: 2012
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.
|Citations||Web of Science® Times Cited: 2|
- MRS, Hyperpolarized nuclei, Hyperpolarized [1-13C]pyruvate, Signal-to-noise ratio, Kinetic model, Dynamic MRS, In vivo cardiac metabolism