Literature DB >> 20564591

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

N Kunz1, C Cudalbu, V Mlynarik, P S Hüppi, S V Sizonenko, R Gruetter.   

Abstract

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.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20564591     DOI: 10.1002/mrm.22490

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  11 in total

1.  Cerebral glutamine metabolism under hyperammonemia determined in vivo by localized (1)H and (15)N NMR spectroscopy.

Authors:  Cristina Cudalbu; Bernard Lanz; João M N Duarte; Florence D Morgenthaler; Yves Pilloud; Vladimir Mlynárik; Rolf Gruetter
Journal:  J Cereb Blood Flow Metab       Date:  2011-12-14       Impact factor: 6.200

2.  A two-compartment mathematical model of neuroglial metabolism using [1-(11)C] acetate.

Authors:  Bernard Lanz; Kai Uffmann; Matthias T Wyss; Bruno Weber; Alfred Buck; Rolf Gruetter
Journal:  J Cereb Blood Flow Metab       Date:  2011-11-30       Impact factor: 6.200

3.  Two-dimensional linear-combination model fitting of magnetic resonance spectra to define the macromolecule baseline using FiTAID, a Fitting Tool for Arrays of Interrelated Datasets.

Authors:  Daniel G Q Chong; Roland Kreis; Christine S Bolliger; Chris Boesch; Johannes Slotboom
Journal:  MAGMA       Date:  2011-03-20       Impact factor: 2.310

Review 4.  Quantification in magnetic resonance spectroscopy based on semi-parametric approaches.

Authors:  Danielle Graveron-Demilly
Journal:  MAGMA       Date:  2013-07-28       Impact factor: 2.310

5.  Fitting interrelated datasets: metabolite diffusion and general lineshapes.

Authors:  Victor Adalid; André Döring; Sreenath Pruthviraj Kyathanahally; Christine Sandra Bolliger; Chris Boesch; Roland Kreis
Journal:  MAGMA       Date:  2017-04-05       Impact factor: 2.310

6.  Glutamate diffusion in the rat brain in vivo under light and deep anesthesia conditions.

Authors:  Xi Chen; Siddartha M Tamang; Fei Du; Dost Ongur
Journal:  Magn Reson Med       Date:  2019-03-12       Impact factor: 4.668

7.  Assessment of metabolic fluxes in the mouse brain in vivo using 1H-[13C] NMR spectroscopy at 14.1 Tesla.

Authors:  Lijing Xin; Bernard Lanz; Hongxia Lei; Rolf Gruetter
Journal:  J Cereb Blood Flow Metab       Date:  2015-01-21       Impact factor: 6.200

8.  Separation of Metabolites and Macromolecules for Short-TE 1H-MRSI Using Learned Component-Specific Representations.

Authors:  Yahang Li; Zepeng Wang; Ruoyu Sun; Fan Lam
Journal:  IEEE Trans Med Imaging       Date:  2021-04-01       Impact factor: 10.048

9.  Metabolite diffusion up to very high b in the mouse brain in vivo: Revisiting the potential correlation between relaxation and diffusion properties.

Authors:  Clémence Ligneul; Marco Palombo; Julien Valette
Journal:  Magn Reson Med       Date:  2016-03-28       Impact factor: 4.668

10.  In vivo macromolecule signals in rat brain 1 H-MR spectra at 9.4T: Parametrization, spline baseline estimation, and T2 relaxation times.

Authors:  Dunja Simicic; Veronika Rackayova; Lijing Xin; Ivan Tkáč; Tamas Borbath; Zenon Starcuk; Jana Starcukova; Bernard Lanz; Cristina Cudalbu
Journal:  Magn Reson Med       Date:  2021-07-15       Impact factor: 4.668

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.