Journal article
How the signal‐to‐noise ratio influences hyperpolarized 13C dynamic MRS data fitting and parameter estimation : SNR ON 13 C DYNAMIC MRS
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.
| Language: | English |
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| Publisher: | John Wiley & Sons, Ltd |
| Year: | 2012 |
| Pages: | 925-934 |
| ISSN: | 09523480 and 10991492 |
| Types: | Journal article |
| DOI: | 10.1002/nbm.1813 |
| ORCIDs: | Ardenkjær-Larsen, Jan Henrik |
Dynamic MRS Hyperpolarized [1-13C]pyruvate Hyperpolarized nuclei In vivo cardiac metabolism Kinetic model MRS Signal-to-noise ratio
Algorithms Animals Carbon Isotopes Computer Simulation Injections, Intravenous Kinetics Magnetic Resonance Spectroscopy Male Models, Animal Monte Carlo Method Pyruvates Radiopharmaceuticals Signal-To-Noise Ratio Swine dynamic MRS hyperpolarized [1‐13C]pyruvate hyperpolarized nuclei in vivo cardiac metabolism kinetic model signal‐to‐noise ratio
