Literature DB >> 20886563

Effective medium theory of a diffusion-weighted signal.

Dmitry S Novikov1, Valerij G Kiselev.   

Abstract

Living tissues and other heterogeneous media generally consist of structural units with different diffusion coefficients and NMR properties. These blocks, such as cells or clusters of cells, can be much smaller than the imaging voxel, and are often comparable with the diffusion length. We have developed a general approach to quantify the medium heterogeneity when it is much finer than the sample size or the imaging resolution. The approach is based on the treatment of the medium statistically in terms of the correlation functions of the local parameters. The diffusion-weighted signal is explicity found for the case in which the local diffusivity varies in space, in the lowest order in the diffusivity variance. We demonstrate how the correlation length and the variance of the local diffusivity contribute to the time-dependent diffusion coefficient and the time-dependent kurtosis. Our results are corroborated by Monte Carlo simulations of diffusion in a two-dimensional heterogeneous medium.
Copyright © 2010 John Wiley & Sons, Ltd.

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Year:  2010        PMID: 20886563     DOI: 10.1002/nbm.1584

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


  45 in total

1.  Diffusion time dependence of magnetic resonance diffusion signal decays: an investigation of water exchange in human brain in vivo.

Authors:  Marzieh Nezamzadeh
Journal:  MAGMA       Date:  2011-11-24       Impact factor: 2.310

2.  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

Review 3.  Transverse NMR relaxation in biological tissues.

Authors:  Valerij G Kiselev; Dmitry S Novikov
Journal:  Neuroimage       Date:  2018-06-07       Impact factor: 6.556

4.  Revealing mesoscopic structural universality with diffusion.

Authors:  Dmitry S Novikov; Jens H Jensen; Joseph A Helpern; Els Fieremans
Journal:  Proc Natl Acad Sci U S A       Date:  2014-03-24       Impact factor: 11.205

5.  Validation of diffusion tensor MRI in the central nervous system using light microscopy: quantitative comparison of fiber properties.

Authors:  A S Choe; I Stepniewska; D C Colvin; Z Ding; A W Anderson
Journal:  NMR Biomed       Date:  2012-01-16       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.  Design and validation of diffusion MRI models of white matter.

Authors:  Ileana O Jelescu; Matthew D Budde
Journal:  Front Phys       Date:  2017-11-28

8.  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

9.  The impact of gradient strength on in vivo diffusion MRI estimates of axon diameter.

Authors:  Susie Y Huang; Aapo Nummenmaa; Thomas Witzel; Tanguy Duval; Julien Cohen-Adad; Lawrence L Wald; Jennifer A McNab
Journal:  Neuroimage       Date:  2014-12-09       Impact factor: 6.556

10.  Pulsed and oscillating gradient MRI for assessment of cell size and extracellular space (POMACE) in mouse gliomas.

Authors:  Olivier Reynaud; Kerryanne Veronica Winters; Dung Minh Hoang; Youssef Zaim Wadghiri; Dmitry S Novikov; Sungheon Gene Kim
Journal:  NMR Biomed       Date:  2016-07-22       Impact factor: 4.044

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