Literature DB >> 23178533

Isotropic diffusion weighting in PGSE NMR by magic-angle spinning of the q-vector.

Stefanie Eriksson1, Samo Lasic, Daniel Topgaard.   

Abstract

When PGSE NMR is applied to water in microheterogeneous materials such as liquid crystals, foodstuffs, porous rocks, and biological tissues, the signal attenuation is often multi-exponential, indicating the presence of pores having a range of sizes or anisotropic domains having a spread of orientations. Here we modify the standard PGSE experiment by introducing low-amplitude harmonically modulated gradients, which effectively make the q-vector perform magic-angle spinning (MAS) about an axis fixed in the laboratory frame. With this new technique, denoted q-MAS PGSE, the signal attenuation depends on the isotropic average of the local diffusion tensor. The capability of q-MAS PGSE to distinguish between pore size and domain orientation dispersion is demonstrated by experiments on a yeast cell suspension and a polydomain anisotropic liquid crystal. In the latter case, the broad distribution of apparent diffusivities observed with PGSE is narrowed to its isotropic average with q-MAS PGSE in a manner that is analogous to the narrowing of chemical shift anisotropy powder patterns using magic-angle sample spinning in solid-state NMR. The new q-MAS PGSE technique could be useful for resolving size/orientation ambiguities in the interpretation of PGSE data from, e.g., water confined within the axons of human brain tissue.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23178533     DOI: 10.1016/j.jmr.2012.10.015

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  43 in total

1.  NMR diffusion-encoding with axial symmetry and variable anisotropy: Distinguishing between prolate and oblate microscopic diffusion tensors with unknown orientation distribution.

Authors:  Stefanie Eriksson; Samo Lasič; Markus Nilsson; Carl-Fredrik Westin; Daniel Topgaard
Journal:  J Chem Phys       Date:  2015-03-14       Impact factor: 3.488

2.  Q-space trajectory imaging for multidimensional diffusion MRI of the human brain.

Authors:  Carl-Fredrik Westin; Hans Knutsson; Ofer Pasternak; Filip Szczepankiewicz; Evren Özarslan; Danielle van Westen; Cecilia Mattisson; Mats Bogren; Lauren J O'Donnell; Marek Kubicki; Daniel Topgaard; Markus Nilsson
Journal:  Neuroimage       Date:  2016-02-23       Impact factor: 6.556

3.  Detecting compartmental non-Gaussian diffusion with symmetrized double-PFG MRI.

Authors:  Jeffrey L Paulsen; Evren Özarslan; Michal E Komlosh; Peter J Basser; Yi-Qiao Song
Journal:  NMR Biomed       Date:  2015-10-04       Impact factor: 4.044

Review 4.  On modeling.

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

5.  Maxwell-compensated design of asymmetric gradient waveforms for tensor-valued diffusion encoding.

Authors:  Filip Szczepankiewicz; Carl-Fredrik Westin; Markus Nilsson
Journal:  Magn Reson Med       Date:  2019-05-31       Impact factor: 4.668

Review 6.  Physical and numerical phantoms for the validation of brain microstructural MRI: A cookbook.

Authors:  Els Fieremans; Hong-Hsi Lee
Journal:  Neuroimage       Date:  2018-06-18       Impact factor: 6.556

7.  Influence of the size and curvedness of neural projections on the orientationally averaged diffusion MR signal.

Authors:  Evren Özarslan; Cem Yolcu; Magnus Herberthson; Hans Knutsson; Carl-Fredrik Westin
Journal:  Front Phys       Date:  2018-03-02

8.  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 9.  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

10.  The link between diffusion MRI and tumor heterogeneity: Mapping cell eccentricity and density by diffusional variance decomposition (DIVIDE).

Authors:  Filip Szczepankiewicz; Danielle van Westen; Elisabet Englund; Carl-Fredrik Westin; Freddy Ståhlberg; Jimmy Lätt; Pia C Sundgren; Markus Nilsson
Journal:  Neuroimage       Date:  2016-07-20       Impact factor: 6.556

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