Literature DB >> 12939757

Diffusion in compartmental systems. I. A comparison of an analytical model with simulations.

Christian Meier1, Wolfgang Dreher, Dieter Leibfritz.   

Abstract

This article examines the way in which microscopic tissue parameters affect the signal attenuation of diffusion-weighted MR experiments. The influence of transmembrane water flux on the signal decay is emphasized using the Kärger equations, which are modified with respect to the cellular boundary restrictions for intra- and extracellular diffusion. This analytical approach is extensively compared to Monte-Carlo simulations for a tissue model consisting of two compartments. It is shown that diffusion-weighted MR methods provide a unique tool for estimation of the intracellular exchange time. Restrictions of applicability to in vivo data are examined. It is shown that the intracellular exchange time strongly depends on the size of a cell, leading to an apparent diffusion time dependence for in vivo data. Hence, an analytical model of a two-compartment system with an averaged exchange time is inadequate for the interpretation of signal curves measured in vivo over large ranges of b-values. Furthermore, differences of multiexponential signal curves, as obtained by different methods of diffusion weighting, can be explained by the influence of transmembrane water flux. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 12939757     DOI: 10.1002/mrm.10557

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  23 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.  Effect of diffusion-sensitizing gradient timings on the exponential, biexponential and diffusional kurtosis model parameters: in-vivo measurements in the rat thalamus.

Authors:  Ludovico Minati; Ileana Zucca; Gabriella Carcassola; Michele Occhipinti; Roberto Spreafico; Maria Grazia Bruzzone
Journal:  MAGMA       Date:  2010-04-08       Impact factor: 2.310

3.  The influence of a cellular size distribution on NMR diffusion measurements.

Authors:  Sune Nørhøj Jespersen; Michael Pedersen; Hans Stødkilde-Jørgensen
Journal:  Eur Biophys J       Date:  2005-05-11       Impact factor: 1.733

4.  Diffusion changes in the vitreous humor of the eye during aging.

Authors:  I Meral; Y Bilgili
Journal:  AJNR Am J Neuroradiol       Date:  2011-07-14       Impact factor: 3.825

5.  Dependence of temporal diffusion spectra on microstructural properties of biological tissues.

Authors:  Junzhong Xu; Mark D Does; John C Gore
Journal:  Magn Reson Imaging       Date:  2010-12-03       Impact factor: 2.546

6.  Early detection of schizophrenia by diffusion weighted imaging.

Authors:  Lynn E DeLisi; Kamila U Szulc; Hilary Bertisch; Magda Majcher; Kyle Brown; Arthika Bappal; Craig A Branch; Babak A Ardekani
Journal:  Psychiatry Res       Date:  2006-10-27       Impact factor: 3.222

7.  Evaluation and comparison of diffusion MR methods for measuring apparent transcytolemmal water exchange rate constant.

Authors:  Xin Tian; Hua Li; Xiaoyu Jiang; Jingping Xie; John C Gore; Junzhong Xu
Journal:  J Magn Reson       Date:  2016-12-01       Impact factor: 2.229

8.  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

Review 9.  The role of tissue microstructure and water exchange in biophysical modelling of diffusion in white matter.

Authors:  Markus Nilsson; Danielle van Westen; Freddy Ståhlberg; Pia C Sundgren; Jimmy Lätt
Journal:  MAGMA       Date:  2013-02-27       Impact factor: 2.310

10.  Impact of transcytolemmal water exchange on estimates of tissue microstructural properties derived from diffusion MRI.

Authors:  Hua Li; Xiaoyu Jiang; Jingping Xie; John C Gore; Junzhong Xu
Journal:  Magn Reson Med       Date:  2016-06-25       Impact factor: 4.668

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