Literature DB >> 24554491

Proton diffusion tensor spectroscopy of metabolites in human muscle in vivo.

Vaclav Brandejsky1, Chris Boesch, Roland Kreis.   

Abstract

PURPOSE: To study the apparent diffusivity and its directionality for metabolites of skeletal muscle in humans in vivo by (1) H magnetic resonance spectroscopy.
METHODS: The diffusion tensors were determined on a 3 Tesla MR system using optimized acquisition and processing methods including an adapted STEAM sequence with orientation-dependent diffusion weighting, pulse-triggering with individually adapted delays, eddy-current correction schemes, median filtering, and simultaneous prior-knowledge fitting of all related spectra.
RESULTS: The average apparent diffusivities, as well as the fractional anisotropies of taurine (ADCav=0.74 × 10(-3) s/mm(2) , FA=0.46), creatine (ADCav =0.41 × 10(-3) s/mm(2) , FA=0.33), trimethylammonium compounds (ADCav =0.48 × 10(-3) s/mm(2) , FA=0.34), carnosine (ADCav =0.46 × 10(-3) s/mm(2) , FA=0.47), and water (ADCav=1.5 × 10(-3) s/mm(2) , FA=0.36) were estimated. The diffusivities of most metabolites and water were significantly different from each other. Diffusion was found to be anisotropic and the diffusion tensors showed tensor correlation coefficients close to 1 and were hence found to be essentially coaligned. The magnitudes of apparent metabolite diffusivities were largely ordered according to molecular weight, with taurine as the smallest molecule diffusing fastest, both along and across the fiber direction.
CONCLUSION: Diffusivities, directional dependence of diffusion and fractional anisotropies of (1) H MRS-visible muscle metabolites were presented. It was shown that metabolites share diffusion directionality with water and have similar fractional anisotropies, hinting at similar diffusion barriers.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  compartmentation; diffusion; diffusion tensor; human; magnetic resonance spectroscopy; skeletal muscle

Mesh:

Substances:

Year:  2014        PMID: 24554491     DOI: 10.1002/mrm.25139

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


  2 in total

1.  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

2.  Open Source 3D Multipurpose Measurement System with Submillimetre Fidelity and First Application in Magnetic Resonance.

Authors:  Haopeng Han; Raphael Moritz; Eva Oberacker; Helmar Waiczies; Thoralf Niendorf; Lukas Winter
Journal:  Sci Rep       Date:  2017-10-18       Impact factor: 4.379

  2 in total

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