Literature DB >> 18421690

Compartment size estimation with double wave vector diffusion-weighted imaging.

Martin A Koch1, Jürgen Finsterbusch.   

Abstract

Double wave vector diffusion weighting uses gradients along two different directions between excitation and acquisition. It has been shown theoretically that for restricted diffusion the signal amplitude in such an experiment can depend on the angle between the two gradient vectors. The highest amplitude is obtained with antiparallel orientation, and the amplitude difference between parallel and antiparallel gradient orientations depends on the compartment size. The validity of this description is experimentally tested for water between polymer beads, for radish, and for porcine spinal cord, using a clinical MR system with limited gradient strength. The results indicate that the phenomenon is observable; however, the size of the signal difference is considerably diminished when compared with theory. This is attributed to violations of the approximating conditions underlying the theoretical description and to free diffusion contributions. It is concluded that the effect could successfully be used as a basis for developing a new noninvasive method for assessing cell size. (c) 2008 Wiley-Liss, Inc.

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Year:  2008        PMID: 18421690     DOI: 10.1002/mrm.21514

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


  30 in total

1.  Noninvasive bipolar double-pulsed-field-gradient NMR reveals signatures for pore size and shape in polydisperse, randomly oriented, inhomogeneous porous media.

Authors:  Noam Shemesh; Evren Ozarslan; Tal Adiri; Peter J Basser; Yoram Cohen
Journal:  J Chem Phys       Date:  2010-07-28       Impact factor: 3.488

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

Review 4.  [Computational neuroanatomy and microstructure imaging using magnetic resonance imaging].

Authors:  S Mohammadi; N Weiskopf
Journal:  Nervenarzt       Date:  2017-08       Impact factor: 1.214

5.  Mapping average axon diameters in porcine spinal cord white matter and rat corpus callosum using d-PFG MRI.

Authors:  M E Komlosh; E Özarslan; M J Lizak; I Horkayne-Szakaly; R Z Freidlin; F Horkay; P J Basser
Journal:  Neuroimage       Date:  2013-04-10       Impact factor: 6.556

6.  Preliminary evaluation of accelerated microscopic diffusional kurtosis imaging (μDKI) in a rodent model of epilepsy.

Authors:  Yang Ji; Dongshuang Lu; Limin Wu; Bensheng Qiu; Yi-Qiao Song; Phillip Zhe Sun
Journal:  Magn Reson Imaging       Date:  2018-10-20       Impact factor: 2.546

Review 7.  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

8.  Detecting diffusion-diffraction patterns in size distribution phantoms using double-pulsed field gradient NMR: Theory and experiments.

Authors:  Noam Shemesh; Evren Ozarslan; Peter J Basser; Yoram Cohen
Journal:  J Chem Phys       Date:  2010-01-21       Impact factor: 3.488

9.  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

10.  Compartment shape anisotropy (CSA) revealed by double pulsed field gradient MR.

Authors:  Evren Ozarslan
Journal:  J Magn Reson       Date:  2009-04-10       Impact factor: 2.229

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