Literature DB >> 18595750

Synthetic signal injection using inductive coupling.

Kenneth I Marro1, Donghoon Lee, Eric G Shankland, Clinton M Mathis, Cecil E Hayes, Catherine E Amara, Martin J Kushmerick.   

Abstract

Conversion of MR signals into units of metabolite concentration requires a very high level of diligence to account for the numerous parameters and transformations that affect the proportionality between the quantity of excited nuclei in the acquisition volume and the integrated area of the corresponding peak in the spectrum. We describe a method that eases this burden with respect to the transformations that occur during and following data acquisition. The conceptual approach is similar to the ERETIC method, which uses a pre-calibrated, artificial reference signal as a calibration factor to accomplish the conversion. The distinguishing feature of our method is that the artificial signal is introduced strictly via induction, rather than radiation. We tested a prototype probe that includes a second RF coil rigidly positioned close to the receive coil so that there was constant mutual inductance between them. The artificial signal was transmitted through the second RF coil and acquired by the receive coil in parallel with the real signal. Our results demonstrate that the calibration factor is immune to changes in sample resistance. This is a key advantage because it removes the cumbersome requirement that coil loading conditions be the same for the calibration sample as for experimental samples. The method should be adaptable to human studies and could allow more practical and accurate quantification of metabolite content.

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Year:  2008        PMID: 18595750      PMCID: PMC2653051          DOI: 10.1016/j.jmr.2008.05.022

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  24 in total

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3.  Improved method for accurate and efficient quantification of MRS data with use of prior knowledge

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4.  A new method for absolute quantitation of MRS metabolites.

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5.  Metabolite abnormalities in progressive multifocal leukoencephalopathy by proton magnetic resonance spectroscopy.

Authors:  L Chang; T Ernst; C Tornatore; H Aronow; R Melchor; I Walot; E Singer; M Cornford
Journal:  Neurology       Date:  1997-04       Impact factor: 9.910

6.  Volume correction for edema in single-volume proton MR spectroscopy of contrast-enhancing multiple sclerosis lesions.

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7.  Molar quantitation of in vivo proton metabolites in human brain with 3D magnetic resonance spectroscopic imaging.

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8.  Noninvasive measurement of molar concentrations of 31P metabolites in vivo, using surface coil NMR spectroscopy.

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10.  Java-based graphical user interface for the MRUI quantitation package.

Authors:  A Naressi; C Couturier; J M Devos; M Janssen; C Mangeat; R de Beer; D Graveron-Demilly
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  6 in total

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Authors:  Kenneth I Marro; Donghoon Lee; Eric G Shankland; Clinton M Mathis; Cecil E Hayes
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2.  Quantitative 19F imaging using inductively coupled reference signal injection.

Authors:  Donghoon Lee; Kenneth Marro; Eric Shankland; Mark Mathis
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3.  In vivo absolute quantification for mouse muscle metabolites using an inductively coupled synthetic signal injection method and newly developed (1) H/(31) P dual tuned probe.

Authors:  Donghoon Lee; Kenneth Marro; Mark Mathis; Eric Shankland; Cecil Hayes
Journal:  J Magn Reson Imaging       Date:  2014-01-25       Impact factor: 4.813

4.  Quantitative in vivo magnetic resonance spectroscopy using synthetic signal injection.

Authors:  Kenneth I Marro; Donghoon Lee; Eric G Shankland; C Mark Mathis; Cecil E Hayes; Seth D Friedman; Martin J Kushmerick
Journal:  PLoS One       Date:  2010-12-28       Impact factor: 3.240

5.  In Vivo Absolute Metabolite Quantification Using a Multiplexed ERETIC-RX Array Coil for Whole-Brain MR Spectroscopic Imaging.

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Journal:  J Magn Reson Imaging       Date:  2021-12-27       Impact factor: 5.119

6.  31 P magnetic resonance spectroscopy in skeletal muscle: Experts' consensus recommendations.

Authors:  Martin Meyerspeer; Chris Boesch; Donnie Cameron; Monika Dezortová; Sean C Forbes; Arend Heerschap; Jeroen A L Jeneson; Hermien E Kan; Jane Kent; Gwenaël Layec; Jeanine J Prompers; Harmen Reyngoudt; Alison Sleigh; Ladislav Valkovič; Graham J Kemp
Journal:  NMR Biomed       Date:  2020-02-10       Impact factor: 4.044

  6 in total

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