Literature DB >> 22134913

Equivalence of double and single wave vector diffusion contrast at low diffusion weighting.

Sune Nørhøj Jespersen1.   

Abstract

Multiple pulsed field gradient diffusion sequences have received renewed interest in recent years as a potentially new type of MRI contrast. This attention is largely a result of the ability to measure pore sizes using low-amplitude diffusion gradients, and to distinguish between macroscopically isotropic systems of anisotropic pores and systems of isotropic pores. In this article, it is shown that, under many circumstances, the same type of information can be obtained by combining two or more standard single pulse diffusion-weighted experiments acquired at different diffusion times. Similarly, information from multiple pulsed field gradient diffusion can be reconstructed from several single pulsed diffusion experiments. This possibility is rooted in the information contained in the time dependence of the diffusion tensor, which provides a complete description of the diffusion-weighted MR signal at low gradient amplitudes. The new information arising at the fourth order in the cumulant expansion is discussed. The coupling of the wave vectors at long mixing times is found to be controlled by the variance of the single pore mean displacement tensor. In particular, a discussion is given concerning the way in which the sensitivity of the fourth-order term to the pore shape anisotropy is modulated by pore orientation anisotropy and vanishes in coherently oriented homogeneous ensembles. For macroscopically isotropic systems, a new index of pore shape anisotropy is proposed.
Copyright © 2011 John Wiley & Sons, Ltd.

Mesh:

Year:  2011        PMID: 22134913     DOI: 10.1002/nbm.1808

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  26 in total

1.  Mesoscopic structure of neuronal tracts from time-dependent diffusion.

Authors:  Lauren M Burcaw; Els Fieremans; Dmitry S Novikov
Journal:  Neuroimage       Date:  2015-03-30       Impact factor: 6.556

2.  Nonparametric pore size distribution using d-PFG: comparison to s-PFG and migration to MRI.

Authors:  Dan Benjamini; Michal E Komlosh; Peter J Basser; Uri Nevo
Journal:  J Magn Reson       Date:  2014-06-30       Impact factor: 2.229

3.  Joint radius-length distribution as a measure of anisotropic pore eccentricity: an experimental and analytical framework.

Authors:  Dan Benjamini; Peter J Basser
Journal:  J Chem Phys       Date:  2014-12-07       Impact factor: 3.488

4.  In vivo microscopic diffusional kurtosis imaging with symmetrized double diffusion encoding EPI.

Authors:  Yang Ji; Jeffrey Paulsen; Iris Yuwen Zhou; Dongshuang Lu; Patrick Machado; Bensheng Qiu; Yi-Qiao Song; Phillip Zhe Sun
Journal:  Magn Reson Med       Date:  2018-09-09       Impact factor: 4.668

5.  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 6.  On modeling.

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

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

Authors:  Lawrence R Frank; Benjamin Zahneisen; Vitaly L Galinsky
Journal:  Magn Reson Med       Date:  2020-01-09       Impact factor: 4.668

8.  Fast imaging of mean, axial and radial diffusion kurtosis.

Authors:  Brian Hansen; Noam Shemesh; Sune Nørhøj Jespersen
Journal:  Neuroimage       Date:  2016-08-15       Impact factor: 6.556

9.  Multiple-echo diffusion tensor acquisition technique (MEDITATE) on a 3T clinical scanner.

Authors:  Steven H Baete; Gene Cho; Eric E Sigmund
Journal:  NMR Biomed       Date:  2013-07-05       Impact factor: 4.044

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

Authors:  Lipeng Ning; Evren Özarslan; Carl-Fredrik Westin; Yogesh Rathi
Journal:  Neuroimage       Date:  2016-10-14       Impact factor: 6.556

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