Literature DB >> 21075027

The parallel-antiparallel signal difference in double-wave-vector diffusion-weighted MR at short mixing times: a phase evolution perspective.

Jürgen Finsterbusch1.   

Abstract

Experiments with two diffusion weightings applied in direct succession in a single acquisition, so-called double- or two-wave-vector diffusion-weighting (DWV) experiments at short mixing times, have been shown to be a promising tool to estimate cell or compartment sizes, e.g. in living tissue. The basic theory for such experiments predicts that the signal decays for parallel and antiparallel wave vector orientations differ by a factor of three for small wave vectors. This seems to be surprising because in standard, single-wave-vector experiments the polarity of the diffusion weighting has no influence on the signal attenuation. Thus, the question how this difference can be understood more pictorially is often raised. In this rather educational manuscript, the phase evolution during a DWV experiment for simple geometries, e.g. diffusion between parallel, impermeable planes oriented perpendicular to the wave vectors, is considered step-by-step and demonstrates how the signal difference develops. Considering the populations of the phase distributions obtained, the factor of three between the signal decays which is predicted by the theory can be reproduced. Furthermore, the intermediate signal decay for orthogonal wave vector orientations can be derived when investigating diffusion in a box. Thus, the presented "phase gymnastics" approach may help to understand the signal modulation observed in DWV experiments at short mixing times.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 21075027     DOI: 10.1016/j.jmr.2010.10.012

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


  3 in total

1.  Revisiting double diffusion encoding MRS in the mouse brain at 11.7T: Which microstructural features are we sensitive to?

Authors:  Mélissa Vincent; Marco Palombo; Julien Valette
Journal:  Neuroimage       Date:  2019-11-25       Impact factor: 6.556

Review 2.  The sensitivity of diffusion MRI to microstructural properties and experimental factors.

Authors:  Maryam Afzali; Tomasz Pieciak; Sharlene Newman; Eleftherios Garyfallidis; Evren Özarslan; Hu Cheng; Derek K Jones
Journal:  J Neurosci Methods       Date:  2020-10-02       Impact factor: 2.390

3.  Evidence for microscopic kurtosis in neural tissue revealed by correlation tensor MRI.

Authors:  Rafael Neto Henriques; Sune N Jespersen; Noam Shemesh
Journal:  Magn Reson Med       Date:  2021-07-30       Impact factor: 3.737

  3 in total

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