Literature DB >> 31044457

Diffusion MR imaging acquisition and analytics for microstructural delineation in pre-clinical models of TBI.

N G Harris1,2, A Paydar1, G S Smith1, S Lepore1.   

Abstract

Significant progress has been made toward improving both the acquisition of clinical diffusion-weighted imaging (DWI) data and its analysis in the uninjured brain, through various techniques including a large number of model-based solutions that have been proposed to fit for multiple tissue compartments, and multiple fibers per voxel. While some of these techniques have been applied to clinical traumatic brain injury (TBI) research, the majority of these technological enhancements have yet to be fully implemented in the preclinical arena of TBI animal model-based research. In this review, we describe the requirement for preclinical, MRI-based efforts to provide systematic confirmation of the applicability of some of these models as indicators of tissue pathology within the injured brain. We review how current DWI techniques are currently being used in animal TBI models, and describe how both acquisition and analytic techniques could be extended to leverage the progress made in clinical work. Finally, we highlight remaining gaps in the preclinical pipeline from data acquisition to final analysis that currently have no real, preclinical-based correlate.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  diffusion-weighted imaging; microstructure; pathology; structural connectivity; traumatic brain injury

Mesh:

Year:  2019        PMID: 31044457      PMCID: PMC6824967          DOI: 10.1002/jnr.24416

Source DB:  PubMed          Journal:  J Neurosci Res        ISSN: 0360-4012            Impact factor:   4.164


  63 in total

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Authors:  Elias Kellner; Bibek Dhital; Valerij G Kiselev; Marco Reisert
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2.  Diffusion MRI noise mapping using random matrix theory.

Authors:  Jelle Veraart; Els Fieremans; Dmitry S Novikov
Journal:  Magn Reson Med       Date:  2015-11-24       Impact factor: 4.668

3.  New modeling and experimental framework to characterize hindered and restricted water diffusion in brain white matter.

Authors:  Yaniv Assaf; Raisa Z Freidlin; Gustavo K Rohde; Peter J Basser
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4.  Changes in Apparent Fiber Density and Track-Weighted Imaging Metrics in White Matter following Experimental Traumatic Brain Injury.

Authors:  David K Wright; Leigh A Johnston; Jeff Kershaw; Roger Ordidge; Terence J O'Brien; Sandy R Shultz
Journal:  J Neurotrauma       Date:  2017-04-13       Impact factor: 5.269

5.  The contribution of gliosis to diffusion tensor anisotropy and tractography following traumatic brain injury: validation in the rat using Fourier analysis of stained tissue sections.

Authors:  Matthew D Budde; Lindsay Janes; Eric Gold; Lisa Christine Turtzo; Joseph A Frank
Journal:  Brain       Date:  2011-07-15       Impact factor: 13.501

6.  Optimization of a free water elimination two-compartment model for diffusion tensor imaging.

Authors:  Andrew R Hoy; Cheng Guan Koay; Steven R Kecskemeti; Andrew L Alexander
Journal:  Neuroimage       Date:  2014-09-28       Impact factor: 6.556

7.  "Squashing peanuts and smashing pumpkins": how noise distorts diffusion-weighted MR data.

Authors:  Derek K Jones; Peter J Basser
Journal:  Magn Reson Med       Date:  2004-11       Impact factor: 4.668

8.  Orientationally invariant metrics of apparent compartment eccentricity from double pulsed field gradient diffusion experiments.

Authors:  Sune Nørhøj Jespersen; Henrik Lundell; Casper Kaae Sønderby; Tim B Dyrby
Journal:  NMR Biomed       Date:  2013-08-23       Impact factor: 4.044

9.  Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data.

Authors:  Stephen M Smith; Mark Jenkinson; Heidi Johansen-Berg; Daniel Rueckert; Thomas E Nichols; Clare E Mackay; Kate E Watkins; Olga Ciccarelli; M Zaheer Cader; Paul M Matthews; Timothy E J Behrens
Journal:  Neuroimage       Date:  2006-04-19       Impact factor: 6.556

10.  An analytical model for estimating water exchange rate in white matter using diffusion MRI.

Authors:  Esmaeil Davoodi-Bojd; Michael Chopp; Hamid Soltanian-Zadeh; Shiyang Wang; Guangliang Ding; Quan Jiang
Journal:  PLoS One       Date:  2014-05-16       Impact factor: 3.240

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