Literature DB >> 28085211

Evaluating kurtosis-based diffusion MRI tissue models for white matter with fiber ball imaging.

Jens H Jensen1,2, Emilie T McKinnon1,2,3, G Russell Glenn1,2,4, Joseph A Helpern1,2,3,4.   

Abstract

In order to quantify well-defined microstructural properties of brain tissue from diffusion MRI (dMRI) data, tissue models are typically employed that relate biological features, such as cell morphology and cell membrane permeability, to the diffusion dynamics. A variety of such models have been proposed for white matter, and their validation is a topic of active interest. In this paper, three different tissue models are tested by comparing their predictions for a specific microstructural parameter to a value measured independently with a recently proposed dMRI method known as fiber ball imaging (FBI). The three tissue models are all constructed with the diffusion and kurtosis tensors, and they are hence compatible with diffusional kurtosis imaging. Nevertheless, the models differ significantly in their details and predictions. For voxels with fractional anisotropies (FAs) exceeding 0.5, all three are reasonably consistent with FBI. However, for lower FA values, one of these, called the white matter tract integrity (WMTI) model, is found to be in much better accord with FBI than the other two, suggesting that the WMTI model has a broader range of applicability.
Copyright © 2017 John Wiley & Sons, Ltd.

Entities:  

Keywords:  MRI; brain; diffusion; fiber ball imaging; kurtosis; tensor; tissue model; white matter

Mesh:

Year:  2017        PMID: 28085211      PMCID: PMC5867517          DOI: 10.1002/nbm.3689

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  38 in total

1.  Three-dimensional characterization of non-gaussian water diffusion in humans using diffusion kurtosis imaging.

Authors:  Hanzhang Lu; Jens H Jensen; Anita Ramani; Joseph A Helpern
Journal:  NMR Biomed       Date:  2006-04       Impact factor: 4.044

2.  Fiber ball imaging.

Authors:  Jens H Jensen; G Russell Glenn; Joseph A Helpern
Journal:  Neuroimage       Date:  2015-10-01       Impact factor: 6.556

3.  Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging.

Authors:  Jens H Jensen; Joseph A Helpern; Anita Ramani; Hanzhang Lu; Kyle Kaczynski
Journal:  Magn Reson Med       Date:  2005-06       Impact factor: 4.668

4.  Stroke assessment with diffusional kurtosis imaging.

Authors:  Edward S Hui; Els Fieremans; Jens H Jensen; Ali Tabesh; Wuwei Feng; Leonardo Bonilha; Maria V Spampinato; Robert Adams; Joseph A Helpern
Journal:  Stroke       Date:  2012-08-28       Impact factor: 7.914

5.  Evaluation of diffusion kurtosis imaging in ex vivo hypomyelinated mouse brains.

Authors:  Nathaniel D Kelm; Kathryn L West; Robert P Carson; Daniel F Gochberg; Kevin C Ess; Mark D Does
Journal:  Neuroimage       Date:  2015-09-21       Impact factor: 6.556

6.  Leading non-Gaussian corrections for diffusion orientation distribution function.

Authors:  Jens H Jensen; Joseph A Helpern; Ali Tabesh
Journal:  NMR Biomed       Date:  2014-02       Impact factor: 4.044

Review 7.  Diffusion MRI at 25: exploring brain tissue structure and function.

Authors:  Denis Le Bihan; Heidi Johansen-Berg
Journal:  Neuroimage       Date:  2011-11-20       Impact factor: 6.556

8.  Subaxolemmal cytoskeleton in squid giant axon. II. Morphological identification of microtubule- and microfilament-associated domains of axolemma.

Authors:  S Tsukita; S Tsukita; T Kobayashi; G Matsumoto
Journal:  J Cell Biol       Date:  1986-05       Impact factor: 10.539

9.  White matter tract integrity metrics reflect the vulnerability of late-myelinating tracts in Alzheimer's disease.

Authors:  Andreana Benitez; Els Fieremans; Jens H Jensen; Maria F Falangola; Ali Tabesh; Steven H Ferris; Joseph A Helpern
Journal:  Neuroimage Clin       Date:  2013-11-09       Impact factor: 4.881

10.  Axonal deficits in young adults with High Functioning Autism and their impact on processing speed.

Authors:  Mariana Lazar; Laura M Miles; James S Babb; Jeffrey B Donaldson
Journal:  Neuroimage Clin       Date:  2014-02-07       Impact factor: 4.881

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  11 in total

1.  Retrieving neuronal orientations using 3D scanning SAXS and comparison with diffusion MRI.

Authors:  Marios Georgiadis; Aileen Schroeter; Zirui Gao; Manuel Guizar-Sicairos; Dmitry S Novikov; Els Fieremans; Markus Rudin
Journal:  Neuroimage       Date:  2019-09-27       Impact factor: 6.556

2.  Modeling white matter tract integrity in aging with diffusional kurtosis imaging.

Authors:  Andreana Benitez; Jens H Jensen; Maria Fatima Falangola; Paul J Nietert; Joseph A Helpern
Journal:  Neurobiol Aging       Date:  2018-07-17       Impact factor: 4.673

3.  Double diffusion encoding MRI for the clinic.

Authors:  Grant Yang; Qiyuan Tian; Christoph Leuze; Max Wintermark; Jennifer A McNab
Journal:  Magn Reson Med       Date:  2017-12-19       Impact factor: 4.668

4.  White matter biomarkers from fast protocols using axially symmetric diffusion kurtosis imaging.

Authors:  Brian Hansen; Ahmad R Khan; Noam Shemesh; Torben E Lund; Ryan Sangill; Simon F Eskildsen; Leif Østergaard; Sune N Jespersen
Journal:  NMR Biomed       Date:  2017-05-22       Impact factor: 4.044

5.  Altered Relationship between Working Memory and Brain Microstructure after Mild Traumatic Brain Injury.

Authors:  S Chung; X Wang; E Fieremans; J F Rath; P Amorapanth; F-Y A Foo; C J Morton; D S Novikov; S R Flanagan; Y W Lui
Journal:  AJNR Am J Neuroradiol       Date:  2019-08-01       Impact factor: 3.825

6.  Optimization of data acquisition and analysis for fiber ball imaging.

Authors:  Hunter G Moss; Emilie T McKinnon; G Russell Glenn; Joseph A Helpern; Jens H Jensen
Journal:  Neuroimage       Date:  2019-07-05       Impact factor: 6.556

7.  Modeling white matter microstructure with fiber ball imaging.

Authors:  Emilie T McKinnon; Joseph A Helpern; Jens H Jensen
Journal:  Neuroimage       Date:  2018-04-13       Impact factor: 6.556

8.  Characterizing intra-axonal water diffusion with direction-averaged triple diffusion encoding MRI.

Authors:  Jens H Jensen; Joseph A Helpern
Journal:  NMR Biomed       Date:  2018-05-04       Impact factor: 4.044

9.  Measuring intra-axonal T2 in white matter with direction-averaged diffusion MRI.

Authors:  Emilie T McKinnon; Jens H Jensen
Journal:  Magn Reson Med       Date:  2018-12-02       Impact factor: 4.668

10.  Neurobiological underpinnings of rapid white matter plasticity during intensive reading instruction.

Authors:  Elizabeth Huber; Aviv Mezer; Jason D Yeatman
Journal:  Neuroimage       Date:  2021-08-04       Impact factor: 7.400

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