Literature DB >> 26804781

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

Kurt Schilling1, Vaibhav Janve2, Yurui Gao2, Iwona Stepniewska3, Bennett A Landman4, Adam W Anderson2.   

Abstract

The ability of diffusion MRI (dMRI) fiber tractography to non-invasively map three-dimensional (3D) anatomical networks in the human brain has made it a valuable tool in both clinical and research settings. However, there are many assumptions inherent to any tractography algorithm that can limit the accuracy of the reconstructed fiber tracts. Among them is the assumption that the diffusion-weighted images accurately reflect the underlying fiber orientation distribution (FOD) in the MRI voxel. Consequently, validating dMRI's ability to assess the underlying fiber orientation in each voxel is critical for its use as a biomedical tool. Here, using post-mortem histology and confocal microscopy, we present a method to perform histological validation of orientation functions in 3D, which has previously been limited to two-dimensional analysis of tissue sections. We demonstrate the ability to extract the 3D FOD from confocal z-stacks, and quantify the agreement between the MRI estimates of orientation information obtained using constrained spherical deconvolution (CSD) and the true geometry of the fibers. We find an orientation error of approximately 6° in voxels containing nearly parallel fibers, and 10-11° in crossing fiber regions, and note that CSD was unable to resolve fibers crossing at angles below 60° in our dataset. This is the first time that the 3D white matter orientation distribution is calculated from histology and compared to dMRI. Thus, this technique serves as a gold standard for dMRI validation studies - providing the ability to determine the extent to which the dMRI signal is consistent with the histological FOD, and to establish how well different dMRI models can predict the ground truth FOD.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Crossing fibers; DTI; Diffusion MRI; Fiber orientation distribution; Validation

Mesh:

Year:  2016        PMID: 26804781      PMCID: PMC4803575          DOI: 10.1016/j.neuroimage.2016.01.022

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  61 in total

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2.  High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity.

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3.  The importance of axonal undulation in diffusion MR measurements: a Monte Carlo simulation study.

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4.  Novel multisection design of anisotropic diffusion phantoms.

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Journal:  Magn Reson Imaging       Date:  2012-01-27       Impact factor: 2.546

5.  Histological validation of DW-MRI tractography in human postmortem tissue.

Authors:  Arne K Seehaus; Alard Roebroeck; Oriana Chiry; Dae-Shik Kim; Itamar Ronen; Hansjürgen Bratzke; Rainer Goebel; Ralf A W Galuske
Journal:  Cereb Cortex       Date:  2012-02-17       Impact factor: 5.357

6.  Validation of q-ball imaging with a diffusion fibre-crossing phantom on a clinical scanner.

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-05-29       Impact factor: 6.237

7.  Use of capillaries in the construction of an MRI phantom for the assessment of diffusion tensor imaging: demonstration of performance.

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Journal:  Magn Reson Imaging       Date:  2006-10-05       Impact factor: 2.546

8.  The relationship between cognitive function and high-resolution diffusion tensor MRI of the cingulum bundle in multiple sclerosis.

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9.  Assessment of murine brain tissue shrinkage caused by different histological fixatives using magnetic resonance and computed tomography imaging.

Authors:  Hans F Wehrl; Ilja Bezrukov; Stefan Wiehr; Mareike Lehnhoff; Kerstin Fuchs; Julia G Mannheim; Leticia Quintanilla-Martinez; Ursula Kohlhofer; Manfred Kneilling; Bernd J Pichler; Alexander W Sauter
Journal:  Histol Histopathol       Date:  2014-12-11       Impact factor: 2.303

10.  Spatial normalization of the fiber orientation distribution based on high angular resolution diffusion imaging data.

Authors:  Xin Hong; Lori R Arlinghaus; Adam W Anderson
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  43 in total

Review 1.  Using diffusion anisotropy to study cerebral cortical gray matter development.

Authors:  Christopher D Kroenke
Journal:  J Magn Reson       Date:  2018-04-26       Impact factor: 2.229

2.  Anatomical accuracy of standard-practice tractography algorithms in the motor system - A histological validation in the squirrel monkey brain.

Authors:  Kurt G Schilling; Yurui Gao; Iwona Stepniewska; Vaibhav Janve; Bennett A Landman; Adam W Anderson
Journal:  Magn Reson Imaging       Date:  2018-09-10       Impact factor: 2.546

3.  Diffusion MRI microstructural models in the cervical spinal cord - Application, normative values, and correlations with histological analysis.

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Journal:  Neuroimage       Date:  2019-07-19       Impact factor: 6.556

4.  Histologically derived fiber response functions for diffusion MRI vary across white matter fibers-An ex vivo validation study in the squirrel monkey brain.

Authors:  Kurt G Schilling; Yurui Gao; Iwona Stepniewska; Vaibhav Janve; Bennett A Landman; Adam W Anderson
Journal:  NMR Biomed       Date:  2019-03-25       Impact factor: 4.044

5.  Folding, But Not Surface Area Expansion, Is Associated with Cellular Morphological Maturation in the Fetal Cerebral Cortex.

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Journal:  J Neurosci       Date:  2017-01-09       Impact factor: 6.167

6.  Fingerprinting Orientation Distribution Functions in diffusion MRI detects smaller crossing angles.

Authors:  Steven H Baete; Martijn A Cloos; Ying-Chia Lin; Dimitris G Placantonakis; Timothy Shepherd; Fernando E Boada
Journal:  Neuroimage       Date:  2019-05-16       Impact factor: 6.556

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

Authors:  Kurt Schilling; Yurui Gao; Vaibhav Janve; Iwona Stepniewska; Bennett A Landman; Adam W Anderson
Journal:  NMR Biomed       Date:  2017-09-15       Impact factor: 4.044

8.  Empirical estimation of intravoxel structure with persistent angular structure and Q-ball models of diffusion weighted MRI.

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9.  Design and validation of diffusion MRI models of white matter.

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Journal:  Front Phys       Date:  2017-11-28

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Journal:  Neuroimage       Date:  2016-07-20       Impact factor: 6.556

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