Literature DB >> 19854085

A tensor model and measures of microscopic anisotropy for double-wave-vector diffusion-weighting experiments with long mixing times.

Marco Lawrenz1, Martin A Koch, Jürgen Finsterbusch.   

Abstract

Experiments with two diffusion-weighting periods applied successively in a single experiment, so-called double-wave-vector (DWV) diffusion-weighting experiments, are a promising tool for the investigation of material or tissue structure on a microscopic level, e.g. to determine cell or compartment sizes or to detect pore or cell anisotropy. However, the theoretical descriptions presented so far for experiments that aim to investigate the microscopic anisotropy with a long mixing time between the two diffusion weightings, are limited to certain wave vector orientations, specific pore shapes, and macroscopically isotropic samples. Here, the signal equations for fully restricted diffusion are re-investigated in more detail. A general description of the signal behavior for arbitrary wave vector directions, pore or cell shapes, and orientation distributions of the pores or cells is obtained that involves a fourth-order tensor approach. From these equations, a rotationally invariant measure of the microscopic anisotropy, termed MA, is derived that yields information complementary to that of the (macroscopic) anisotropy measures of standard diffusion-tensor acquisitions. Furthermore, the detailed angular modulation for arbitrary cell shapes with an isotropic orientation distribution is derived. Numerical simulations of the MR signal with a Monte-Carlo algorithms confirm the theoretical considerations. The extended theoretical description and the introduction of a reliable measure of the microscopic anisotropy may help to improve the applicability and reliability of corresponding experiments. Copyright 2009 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 19854085     DOI: 10.1016/j.jmr.2009.09.015

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


  26 in total

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

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

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Journal:  Neuroimage       Date:  2016-02-23       Impact factor: 6.556

5.  Diffusion time dependence of microstructural parameters in fixed spinal cord.

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Journal:  Neuroimage       Date:  2017-08-14       Impact factor: 6.556

6.  JEDI: Joint Estimation Diffusion Imaging of macroscopic and microscopic tissue properties.

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Review 7.  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

8.  Precise Inference and Characterization of Structural Organization (PICASO) of tissue from molecular diffusion.

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Journal:  Neuroimage       Date:  2016-10-14       Impact factor: 6.556

9.  Preliminary evaluation of accelerated microscopic diffusional kurtosis imaging (μDKI) in a rodent model of epilepsy.

Authors:  Yang Ji; Dongshuang Lu; Limin Wu; Bensheng Qiu; Yi-Qiao Song; Phillip Zhe Sun
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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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