Literature DB >> 28915311

Can increased spatial resolution solve the crossing fiber problem for diffusion MRI?

Kurt Schilling1,2, Yurui Gao1,2, Vaibhav Janve1,2, Iwona Stepniewska3, Bennett A Landman1,2,4, Adam W Anderson1,2.   

Abstract

It is now widely recognized that voxels with crossing fibers or complex geometrical configurations present a challenge for diffusion MRI (dMRI) reconstruction and fiber tracking, as well as microstructural modeling of brain tissues. This "crossing fiber" problem has been estimated to affect anywhere from 30% to as many as 90% of white matter voxels, and it is often assumed that increasing spatial resolution will decrease the prevalence of voxels containing multiple fiber populations. The aim of this study is to estimate the extent of the crossing fiber problem as we progressively increase the spatial resolution, with the goal of determining whether it is possible to mitigate this problem with higher resolution spatial sampling. This is accomplished using ex vivo MRI data of the macaque brain, followed by histological analysis of the same specimen to validate these measurements, as well as to extend this analysis to resolutions not yet achievable in practice with MRI. In both dMRI and histology, we find unexpected results: the prevalence of crossing fibers increases as we increase spatial resolution. The problem of crossing fibers appears to be a fundamental limitation of dMRI associated with the complexity of brain tissue, rather than a technical problem that can be overcome with advances such as higher fields and stronger gradients.
Copyright © 2017 John Wiley & Sons, Ltd.

Entities:  

Keywords:  crossing fibers; diffusion MRI; histology; macaque; validation; white matter

Mesh:

Year:  2017        PMID: 28915311      PMCID: PMC5685916          DOI: 10.1002/nbm.3787

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


  43 in total

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4.  Resolving crossing fibres using constrained spherical deconvolution: validation using diffusion-weighted imaging phantom data.

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Journal:  Neuroimage       Date:  2008-05-09       Impact factor: 6.556

5.  A diffusion tensor MRI atlas of the postmortem rhesus macaque brain.

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Journal:  Neuroimage       Date:  2015-05-31       Impact factor: 6.556

6.  The geometric structure of the brain fiber pathways.

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7.  Comparison of 3D orientation distribution functions measured with confocal microscopy and diffusion MRI.

Authors:  Kurt Schilling; Vaibhav Janve; Yurui Gao; Iwona Stepniewska; Bennett A Landman; Adam W Anderson
Journal:  Neuroimage       Date:  2016-01-21       Impact factor: 6.556

8.  Validation of High-Resolution Tractography Against In Vivo Tracing in the Macaque Visual Cortex.

Authors:  Hojjatollah Azadbakht; Laura M Parkes; Hamied A Haroon; Mark Augath; Nikos K Logothetis; Alex de Crespigny; Helen E D'Arceuil; Geoffrey J M Parker
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Authors:  Matthew D Budde; Jacopo Annese
Journal:  Front Integr Neurosci       Date:  2013-02-01

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Authors:  Elizabeth Zakszewski; Nagesh Adluru; Do P M Tromp; Ned Kalin; Andrew L Alexander
Journal:  PLoS One       Date:  2014-09-09       Impact factor: 3.240

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  18 in total

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Journal:  Cereb Cortex       Date:  2019-12-17       Impact factor: 5.357

3.  Linking spherical mean diffusion weighted signal with intra-axonal volume fraction.

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5.  Uncovering Cortical Units of Processing From Multi-Layered Connectomes.

Authors:  Kristoffer Jon Albers; Matthew G Liptrot; Karen Sandø Ambrosen; Rasmus Røge; Tue Herlau; Kasper Winther Andersen; Hartwig R Siebner; Lars Kai Hansen; Tim B Dyrby; Kristoffer H Madsen; Mikkel N Schmidt; Morten Mørup
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6.  Anomalous and heterogeneous characteristics of the BOLD hemodynamic response function in white matter.

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7.  Histological validation of diffusion MRI fiber orientation distributions and dispersion.

Authors:  Kurt G Schilling; Vaibhav Janve; Yurui Gao; Iwona Stepniewska; Bennett A Landman; Adam W Anderson
Journal:  Neuroimage       Date:  2017-10-23       Impact factor: 6.556

8.  LEARNING 3D WHITE MATTER MICROSTRUCTURE FROM 2D HISTOLOGY.

Authors:  Vishwesh Nath; Kurt G Schilling; Samuel Remedios; Roza G Bayrak; Yurui Gao; Justin A Blaber; Yuankai Huo; Bennett A Landman; A W Anderson
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2019-07-11

9.  Subiculum-BNST structural connectivity in humans and macaques.

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