Literature DB >> 26967442

Two-Dimensional Correlation of Isotropic and Directional Diffusion Using NMR.

João P de Almeida Martins1, Daniel Topgaard1.   

Abstract

Diffusion nuclear magnetic resonance (NMR) is a powerful technique for studying porous media, but yields ambiguous results when the sample comprises multiple regions with different pore sizes, shapes, and orientations. Inspired by solid-state NMR techniques for correlating isotropic and anisotropic chemical shifts, we propose a diffusion NMR method to resolve said ambiguity. Numerical data inversion relies on sparse representation of the data in a basis of radial and axial diffusivities. Experiments are performed on a composite sample with a cell suspension and a liquid crystal.

Year:  2016        PMID: 26967442     DOI: 10.1103/PhysRevLett.116.087601

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  25 in total

1.  Magnetic resonance microdynamic imaging reveals distinct tissue microenvironments.

Authors:  Dan Benjamini; Peter J Basser
Journal:  Neuroimage       Date:  2017-09-22       Impact factor: 6.556

Review 2.  On modeling.

Authors:  Dmitry S Novikov; Valerij G Kiselev; Sune N Jespersen
Journal:  Magn Reson Med       Date:  2018-03-01       Impact factor: 4.668

3.  Measuring non-parametric distributions of intravoxel mean diffusivities using a clinical MRI scanner.

Authors:  Alexandru V Avram; Joelle E Sarlls; Peter J Basser
Journal:  Neuroimage       Date:  2018-10-13       Impact factor: 6.556

Review 4.  Quantifying brain microstructure with diffusion MRI: Theory and parameter estimation.

Authors:  Dmitry S Novikov; Els Fieremans; Sune N Jespersen; Valerij G Kiselev
Journal:  NMR Biomed       Date:  2018-10-15       Impact factor: 4.044

5.  Double diffusion encoding MRI for the clinic.

Authors:  Grant Yang; Qiyuan Tian; Christoph Leuze; Max Wintermark; Jennifer A McNab
Journal:  Magn Reson Med       Date:  2017-12-19       Impact factor: 4.668

6.  Rotationally-invariant mapping of scalar and orientational metrics of neuronal microstructure with diffusion MRI.

Authors:  Dmitry S Novikov; Jelle Veraart; Ileana O Jelescu; Els Fieremans
Journal:  Neuroimage       Date:  2018-03-12       Impact factor: 6.556

7.  In vivo magnetic resonance imaging and spectroscopy. Technological advances and opportunities for applications continue to abound.

Authors:  Peter van Zijl; Linda Knutsson
Journal:  J Magn Reson       Date:  2019-07-09       Impact factor: 2.229

8.  Distinguishing neuronal from astrocytic subcellular microstructures using in vivo Double Diffusion Encoded 1H MRS at 21.1 T.

Authors:  Noam Shemesh; Jens T Rosenberg; Jean-Nicolas Dumez; Samuel C Grant; Lucio Frydman
Journal:  PLoS One       Date:  2017-10-02       Impact factor: 3.240

9.  Characterizing intra-axonal water diffusion with direction-averaged triple diffusion encoding MRI.

Authors:  Jens H Jensen; Joseph A Helpern
Journal:  NMR Biomed       Date:  2018-05-04       Impact factor: 4.044

Review 10.  The present and the future of microstructure MRI: From a paradigm shift to normal science.

Authors:  Dmitry S Novikov
Journal:  J Neurosci Methods       Date:  2020-10-21       Impact factor: 2.390

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