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

Publication: Research - peer-reviewJournal article – Annual report year: 2012

Standard

How the signal‐to‐noise ratio influences hyperpolarized 13C dynamic MRS data fitting and parameter estimation. / Santarelli, Maria Filomena; Positano, Vincenzo; Giovannetti, Giulio; Frijia, Francesca; Menichetti, Luca; Ardenkjær-Larsen, Jan Henrik; De Marchi, Daniele; Lionetti, Vincenzo; Aquaro, Giovanni; Lombardi, Massimo; Landini, Luigi.

In: N M R in Biomedicine, Vol. 25, No. 7, 2012, p. 925-934.

Publication: Research - peer-reviewJournal article – Annual report year: 2012

Harvard

Santarelli, MF, Positano, V, Giovannetti, G, Frijia, F, Menichetti, L, Ardenkjær-Larsen, JH, De Marchi, D, Lionetti, V, Aquaro, G, Lombardi, M & Landini, L 2012, 'How the signal‐to‐noise ratio influences hyperpolarized 13C dynamic MRS data fitting and parameter estimation' N M R in Biomedicine, vol 25, no. 7, pp. 925-934., 10.1002/nbm.1813

APA

Santarelli, M. F., Positano, V., Giovannetti, G., Frijia, F., Menichetti, L., Ardenkjær-Larsen, J. H., ... Landini, L. (2012). How the signal‐to‐noise ratio influences hyperpolarized 13C dynamic MRS data fitting and parameter estimation. N M R in Biomedicine, 25(7), 925-934. 10.1002/nbm.1813

CBE

Santarelli MF, Positano V, Giovannetti G, Frijia F, Menichetti L, Ardenkjær-Larsen JH, De Marchi D, Lionetti V, Aquaro G, Lombardi M, Landini L. 2012. How the signal‐to‐noise ratio influences hyperpolarized 13C dynamic MRS data fitting and parameter estimation. N M R in Biomedicine. 25(7):925-934. Available from: 10.1002/nbm.1813

MLA

Vancouver

Author

Santarelli, Maria Filomena; Positano, Vincenzo; Giovannetti, Giulio; Frijia, Francesca; Menichetti, Luca; Ardenkjær-Larsen, Jan Henrik; De Marchi, Daniele; Lionetti, Vincenzo; Aquaro, Giovanni; Lombardi, Massimo; Landini, Luigi / How the signal‐to‐noise ratio influences hyperpolarized 13C dynamic MRS data fitting and parameter estimation.

In: N M R in Biomedicine, Vol. 25, No. 7, 2012, p. 925-934.

Publication: Research - peer-reviewJournal article – Annual report year: 2012

Bibtex

@article{42f252ec7c364233bce089c425f7a8e8,
title = "How the signal‐to‐noise ratio influences hyperpolarized 13C dynamic MRS data fitting and parameter estimation",
keywords = "MRS, Hyperpolarized nuclei, Hyperpolarized [1-13C]pyruvate, Signal-to-noise ratio, Kinetic model, Dynamic MRS, In vivo cardiac metabolism",
publisher = "John/Wiley & Sons Ltd.",
author = "Santarelli, {Maria Filomena} and Vincenzo Positano and Giulio Giovannetti and Francesca Frijia and Luca Menichetti and Ardenkjær-Larsen, {Jan Henrik} and {De Marchi}, Daniele and Vincenzo Lionetti and Giovanni Aquaro and Massimo Lombardi and Luigi Landini",
year = "2012",
doi = "10.1002/nbm.1813",
volume = "25",
number = "7",
pages = "925--934",
journal = "N M R in Biomedicine",
issn = "0952-3480",

}

RIS

TY - JOUR

T1 - How the signal‐to‐noise ratio influences hyperpolarized 13C dynamic MRS data fitting and parameter estimation

A1 - Santarelli,Maria Filomena

A1 - Positano,Vincenzo

A1 - Giovannetti,Giulio

A1 - Frijia,Francesca

A1 - Menichetti,Luca

A1 - Ardenkjær-Larsen,Jan Henrik

A1 - De Marchi,Daniele

A1 - Lionetti,Vincenzo

A1 - Aquaro,Giovanni

A1 - Lombardi,Massimo

A1 - Landini,Luigi

AU - Santarelli,Maria Filomena

AU - Positano,Vincenzo

AU - Giovannetti,Giulio

AU - Frijia,Francesca

AU - Menichetti,Luca

AU - Ardenkjær-Larsen,Jan Henrik

AU - De Marchi,Daniele

AU - Lionetti,Vincenzo

AU - Aquaro,Giovanni

AU - Lombardi,Massimo

AU - Landini,Luigi

PB - John/Wiley & Sons Ltd.

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - MRS

KW - Hyperpolarized nuclei

KW - Hyperpolarized [1-13C]pyruvate

KW - Signal-to-noise ratio

KW - Kinetic model

KW - Dynamic MRS

KW - In vivo cardiac metabolism

U2 - 10.1002/nbm.1813

DO - 10.1002/nbm.1813

JO - N M R in Biomedicine

JF - N M R in Biomedicine

SN - 0952-3480

IS - 7

VL - 25

SP - 925

EP - 934

ER -