Quantitative In Vivo Magnetic Resonance Spectroscopy Using Synthetic Signal Injection
Author(s) -
Kenneth I. Marro,
DongHoon Lee,
Eric G. Shankland,
Clinton M. Mathis,
Cecil E. Hayes,
Seth D. Friedman,
Martin J. Kushmerick
Publication year - 2010
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0015166
Subject(s) - signal (programming language) , electromagnetic coil , calibration , nuclear magnetic resonance , materials science , imaging phantom , magnetic resonance imaging , spectroscopy , biological system , acoustics , biomedical engineering , computer science , analytical chemistry (journal) , physics , chemistry , optics , chromatography , biology , medicine , quantum mechanics , radiology , programming language
Accurate conversion of magnetic resonance spectra to quantitative units of concentration generally requires compensation for differences in coil loading conditions, the gains of the various receiver amplifiers, and rescaling that occurs during post-processing manipulations. This can be efficiently achieved by injecting a precalibrated, artificial reference signal, or pseudo-signal into the data. We have previously demonstrated, using in vitro measurements, that robust pseudo-signal injection can be accomplished using a second coil, called the injector coil, properly designed and oriented so that it couples inductively with the receive coil used to acquire the data. In this work, we acquired nonlocalized phosphorous magnetic resonance spectroscopy measurements from resting human tibialis anterior muscles and used pseudo-signal injection to calculate the Pi, PCr, and ATP concentrations. We compared these results to parallel estimates of concentrations obtained using the more established phantom replacement method. Our results demonstrate that pseudo-signal injection using inductive coupling provides a robust calibration factor that is immune to coil loading conditions and suitable for use in human measurements. Having benefits in terms of ease of use and quantitative accuracy, this method is feasible for clinical use. The protocol we describe could be readily translated for use in patients with mitochondrial disease, where sensitive assessment of metabolite content could improve diagnosis and treatment.
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