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Which prior knowledge? : Quantification of in vivo brain 13C MR spectra following 13C glucose infusion using AMARES

Lanz, Bernard; Duarte, João M N LU ; Kunz, Nicolas; Mlynárik, Vladimir; Gruetter, Rolf and Cudalbu, Cristina (2013) In Magnetic Resonance in Medicine 69(6). p.1512-1522
Abstract

The recent developments in high magnetic field 13C magnetic resonance spectroscopy with improved localization and shimming techniques have led to important gains in sensitivity and spectral resolution of 13C in vivo spectra in the rodent brain, enabling the separation of several 13C isotopomers of glutamate and glutamine. In this context, the assumptions used in spectral quantification might have a significant impact on the determination of the 13C concentrations and the related metabolic fluxes. In this study, the time domain spectral quantification algorithm AMARES (advanced method for accurate, robust and efficient spectral fitting) was applied to 13 C magnetic resonance spectroscopy spectra acquired in the rat brain at 9.4 T,... (More)

The recent developments in high magnetic field 13C magnetic resonance spectroscopy with improved localization and shimming techniques have led to important gains in sensitivity and spectral resolution of 13C in vivo spectra in the rodent brain, enabling the separation of several 13C isotopomers of glutamate and glutamine. In this context, the assumptions used in spectral quantification might have a significant impact on the determination of the 13C concentrations and the related metabolic fluxes. In this study, the time domain spectral quantification algorithm AMARES (advanced method for accurate, robust and efficient spectral fitting) was applied to 13 C magnetic resonance spectroscopy spectra acquired in the rat brain at 9.4 T, following infusion of [1,6-(13)C2 ] glucose. Using both Monte Carlo simulations and in vivo data, the goal of this work was: (1) to validate the quantification of in vivo 13C isotopomers using AMARES; (2) to assess the impact of the prior knowledge on the quantification of in vivo 13C isotopomers using AMARES; (3) to compare AMARES and LCModel (linear combination of model spectra) for the quantification of in vivo 13C spectra. AMARES led to accurate and reliable 13C spectral quantification similar to those obtained using LCModel, when the frequency shifts, J-coupling constants and phase patterns of the different 13C isotopomers were included as prior knowledge in the analysis.

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author
publishing date
type
Contribution to journal
publication status
published
keywords
Algorithms, Animals, Brain, Carbon Isotopes, Glucose, Glutamic Acid, Glutamine, Infusions, Intra-Arterial, Magnetic Resonance Imaging, Magnetic Resonance Spectroscopy, Metabolic Flux Analysis, Rats, Rats, Sprague-Dawley, Reproducibility of Results, Sensitivity and Specificity, Tissue Distribution, Journal Article, Research Support, Non-U.S. Gov't
in
Magnetic Resonance in Medicine
volume
69
issue
6
pages
11 pages
publisher
Wiley Online Library
external identifiers
  • scopus:84878110181
ISSN
1522-2594
DOI
10.1002/mrm.24406
language
English
LU publication?
no
id
bd8ad3f6-ac07-475f-965f-31ee9f2d7ae9
date added to LUP
2017-10-19 15:14:47
date last changed
2018-05-29 09:59:36
@article{bd8ad3f6-ac07-475f-965f-31ee9f2d7ae9,
  abstract     = {<p>The recent developments in high magnetic field 13C magnetic resonance spectroscopy with improved localization and shimming techniques have led to important gains in sensitivity and spectral resolution of 13C in vivo spectra in the rodent brain, enabling the separation of several 13C isotopomers of glutamate and glutamine. In this context, the assumptions used in spectral quantification might have a significant impact on the determination of the 13C concentrations and the related metabolic fluxes. In this study, the time domain spectral quantification algorithm AMARES (advanced method for accurate, robust and efficient spectral fitting) was applied to 13 C magnetic resonance spectroscopy spectra acquired in the rat brain at 9.4 T, following infusion of [1,6-(13)C2 ] glucose. Using both Monte Carlo simulations and in vivo data, the goal of this work was: (1) to validate the quantification of in vivo 13C isotopomers using AMARES; (2) to assess the impact of the prior knowledge on the quantification of in vivo 13C isotopomers using AMARES; (3) to compare AMARES and LCModel (linear combination of model spectra) for the quantification of in vivo 13C spectra. AMARES led to accurate and reliable 13C spectral quantification similar to those obtained using LCModel, when the frequency shifts, J-coupling constants and phase patterns of the different 13C isotopomers were included as prior knowledge in the analysis.</p>},
  author       = {Lanz, Bernard and Duarte, João M N and Kunz, Nicolas and Mlynárik, Vladimir and Gruetter, Rolf and Cudalbu, Cristina},
  issn         = {1522-2594},
  keyword      = {Algorithms,Animals,Brain,Carbon Isotopes,Glucose,Glutamic Acid,Glutamine,Infusions, Intra-Arterial,Magnetic Resonance Imaging,Magnetic Resonance Spectroscopy,Metabolic Flux Analysis,Rats,Rats, Sprague-Dawley,Reproducibility of Results,Sensitivity and Specificity,Tissue Distribution,Journal Article,Research Support, Non-U.S. Gov't},
  language     = {eng},
  number       = {6},
  pages        = {1512--1522},
  publisher    = {Wiley Online Library},
  series       = {Magnetic Resonance in Medicine},
  title        = {Which prior knowledge? : Quantification of in vivo brain 13C MR spectra following 13C glucose infusion using AMARES},
  url          = {http://dx.doi.org/10.1002/mrm.24406},
  volume       = {69},
  year         = {2013},
}