Literature DB >> 26254733

Symmetry of the gradient profile as second experimental dimension in the short-time expansion of the apparent diffusion coefficient as measured with NMR diffusometry.

Frederik Bernd Laun1, Tristan Anselm Kuder2, Fangrong Zong3, Stefan Hertel4, Petrik Galvosas5.   

Abstract

The time-dependent apparent diffusion coefficient as measured by pulsed gradient NMR can be used to estimate parameters of porous structures including the surface-to-volume ratio and the mean curvature of pores. In this work, the short-time diffusion limit and in particular the influence of the temporal profile of diffusion gradients on the expansion as proposed by Mitra et al. (1993) is investigated. It is shown that flow-compensated waveforms, i.e. those whose first moment is zero, are blind to the term linear in observation time, which is the term that is proportional to mean curvature and surface permeability. A gradient waveform that smoothly interpolates between flow-compensated and bipolar waveform is proposed and the degree of flow-compensation is used as a second experimental dimension. This two-dimensional ansatz is shown to yield an improved precision when characterizing the confining domain. This technique is demonstrated with simulations and in experiments performed with cylindrical capillaries of 100 μm radius.
Copyright © 2015 Elsevier Inc. All rights reserved.

Keywords:  Diffusion; Gradient profile; Short-time limit; Surface-to-volume ratio; Waveform

Year:  2015        PMID: 26254733     DOI: 10.1016/j.jmr.2015.07.003

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


  2 in total

1.  Validation of surface-to-volume ratio measurements derived from oscillating gradient spin echo on a clinical scanner using anisotropic fiber phantoms.

Authors:  Gregory Lemberskiy; Steven H Baete; Martijn A Cloos; Dmitry S Novikov; Els Fieremans
Journal:  NMR Biomed       Date:  2017-03-22       Impact factor: 4.044

2.  Flow-compensated diffusion encoding in MRI for improved liver metastasis detection.

Authors:  Frederik B Laun; Tobit Führes; Hannes Seuss; Astrid Müller; Sebastian Bickelhaupt; Alto Stemmer; Thomas Benkert; Michael Uder; Marc Saake
Journal:  PLoS One       Date:  2022-05-26       Impact factor: 3.752

  2 in total

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