Diffusion-weighted spectroscopy: a novel approach to determine macromolecule resonances in short-echo time 1H-MRS.

Détails

ID Serval
serval:BIB_8C9733A8D5BE
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Diffusion-weighted spectroscopy: a novel approach to determine macromolecule resonances in short-echo time 1H-MRS.
Périodique
Magnetic Resonance In Medicine
Auteur⸱e⸱s
Kunz N., Cudalbu C., Mlynarik V., Hüppi P.S., Sizonenko S.V., Gruetter R.
ISSN
1522-2594[electronic], 0740-3194[linking]
Statut éditorial
Publié
Date de publication
2010
Volume
64
Numéro
4
Pages
939-946
Langue
anglais
Résumé
Quantification of short-echo time proton magnetic resonance spectroscopy results in >18 metabolite concentrations (neurochemical profile). Their quantification accuracy depends on the assessment of the contribution of macromolecule (MM) resonances, previously experimentally achieved by exploiting the several fold difference in T(1). To minimize effects of heterogeneities in metabolites T(1), the aim of the study was to assess MM signal contributions by combining inversion recovery (IR) and diffusion-weighted proton spectroscopy at high-magnetic field (14.1 T) and short echo time (= 8 msec) in the rat brain. IR combined with diffusion weighting experiments (with δ/Δ = 1.5/200 msec and b-value = 11.8 msec/μm(2)) showed that the metabolite nulled spectrum (inversion time = 740 msec) was affected by residuals attributed to creatine, inositol, taurine, choline, N-acetylaspartate as well as glutamine and glutamate. While the metabolite residuals were significantly attenuated by 50%, the MM signals were almost not affected (< 8%). The combination of metabolite-nulled IR spectra with diffusion weighting allows a specific characterization of MM resonances with minimal metabolite signal contributions and is expected to lead to a more precise quantification of the neurochemical profile.
Mots-clé
proton magnetic resonance spectroscopy, macromolecules, ultra-high field of 14.1 T, LCModel, quantification accuracy, brain in-vivo, rat-brain, neurochemical profile, t-2 relaxation, metabolite concentrations, h-1-nmr spectra, 14.1 tesla, base-line, quantification, signals
Pubmed
Web of science
Open Access
Oui
Création de la notice
27/10/2010 13:36
Dernière modification de la notice
20/08/2019 15:50
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