Literature DB >> 23548563

Estimation of pore size distribution using concentric double pulsed-field gradient NMR.

Dan Benjamini1, Uri Nevo.   

Abstract

Estimation of pore size distribution of well calibrated phantoms using NMR is demonstrated here for the first time. Porous materials are a central constituent in fields as diverse as biology, geology, and oil drilling. Noninvasive characterization of monodisperse porous samples using conventional pulsed-field gradient (PFG) NMR is a well-established method. However, estimation of pore size distribution of heterogeneous polydisperse systems, which comprise most of the materials found in nature, remains extremely challenging. Concentric double pulsed-field gradient (CDPFG) is a 2-D technique where both q (the amplitude of the diffusion gradient) and φ (the relative angle between the gradient pairs) are varied. A recent prediction indicates this method should produce a more accurate and robust estimation of pore size distribution than its conventional 1-D versions. Five well defined size distribution phantoms, consisting of 1-5 different pore sizes in the range of 5-25 μm were used. The estimated pore size distributions were all in good agreement with the known theoretical size distributions, and were obtained without any a priori assumption on the size distribution model. These findings support that in addition to its theoretical benefits, the CDPFG method is experimentally reliable. Furthermore, by adding the angle parameter, sensitivity to small compartment sizes is increased without the use of strong gradients, thus making CDPFG safe for biological applications.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2013        PMID: 23548563     DOI: 10.1016/j.jmr.2013.03.001

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


  6 in total

1.  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

2.  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

3.  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

4.  White matter microstructure from nonparametric axon diameter distribution mapping.

Authors:  Dan Benjamini; Michal E Komlosh; Lynne A Holtzclaw; Uri Nevo; Peter J Basser
Journal:  Neuroimage       Date:  2016-04-26       Impact factor: 6.556

5.  Use of marginal distributions constrained optimization (MADCO) for accelerated 2D MRI relaxometry and diffusometry.

Authors:  Dan Benjamini; Peter J Basser
Journal:  J Magn Reson       Date:  2016-08-11       Impact factor: 2.229

6.  Anisotropic phantom to calibrate high-q diffusion MRI methods.

Authors:  M E Komlosh; D Benjamini; A S Barnett; V Schram; F Horkay; A V Avram; P J Basser
Journal:  J Magn Reson       Date:  2016-11-30       Impact factor: 2.229

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.