Literature DB >> 31568873

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

Marios Georgiadis1, Aileen Schroeter2, Zirui Gao3, Manuel Guizar-Sicairos4, Dmitry S Novikov5, Els Fieremans5, Markus Rudin6.   

Abstract

While diffusion MRI (dMRI) is currently the method of choice to non-invasively probe tissue microstructure and study structural connectivity in the brain, its spatial resolution is limited and its results need structural validation. Current ex vivo methods employed to provide 3D fiber orientations have limitations, including tissue-distorting sample preparation, small field of view or inability to quantify 3D fiber orientation distributions. 3D fiber orientation in tissue sections can be obtained from 3D scanning small-angle X-ray scattering (3D sSAXS) by analyzing the anisotropy of scattering signals. Here we adapt the 3D sSAXS method for use in brain tissue, exploiting the high sensitivity of the SAXS signal to the ordered molecular structure of myelin. We extend the characterization of anisotropy from vectors to tensors, employ the Funk-Radon-Transform for converting scattering information to real space fiber orientations, and demonstrate the feasibility of the method in thin sections of mouse brain with minimal sample preparation. We obtain a second rank tensor representing the fiber orientation distribution function (fODF) for every voxel, thereby generating fODF maps. Finally, we illustrate the potential of 3D sSAXS by comparing the result with diffusion MRI fiber orientations in the same mouse brain. We show a remarkably good correspondence, considering the orthogonality of the two methods, i.e. the different physical processes underlying the two signals. 3D sSAXS can serve as validation method for microstructural MRI, and can provide novel microstructural insights for the nervous system, given the method's orthogonality to dMRI, high sensitivity to myelin sheath's orientation and abundance, and the possibility to extract myelin-specific signal and to perform micrometer-resolution scanning.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  3D scanning SAXS; Brain X-ray scattering; Diffusion MRI; Myelin sheath; Neuronal orientation; ODF validation

Mesh:

Year:  2019        PMID: 31568873      PMCID: PMC7306056          DOI: 10.1016/j.neuroimage.2019.116214

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


  68 in total

1.  Anisotropy in high angular resolution diffusion-weighted MRI.

Authors:  L R Frank
Journal:  Magn Reson Med       Date:  2001-06       Impact factor: 4.668

2.  Nanostructure surveys of macroscopic specimens by small-angle scattering tensor tomography.

Authors:  Marianne Liebi; Marios Georgiadis; Andreas Menzel; Philipp Schneider; Joachim Kohlbrecher; Oliver Bunk; Manuel Guizar-Sicairos
Journal:  Nature       Date:  2015-11-19       Impact factor: 49.962

3.  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

4.  Q-ball imaging.

Authors:  David S Tuch
Journal:  Magn Reson Med       Date:  2004-12       Impact factor: 4.668

5.  Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution.

Authors:  J-Donald Tournier; Fernando Calamante; David G Gadian; Alan Connelly
Journal:  Neuroimage       Date:  2004-11       Impact factor: 6.556

6.  Efficient subpixel image registration algorithms.

Authors:  Manuel Guizar-Sicairos; Samuel T Thurman; James R Fienup
Journal:  Opt Lett       Date:  2008-01-15       Impact factor: 3.776

7.  Rotationally-invariant mapping of scalar and orientational metrics of neuronal microstructure with diffusion MRI.

Authors:  Dmitry S Novikov; Jelle Veraart; Ileana O Jelescu; Els Fieremans
Journal:  Neuroimage       Date:  2018-03-12       Impact factor: 6.556

8.  Development of layer 1 neurons in the mouse neocortex.

Authors:  Jian Ma; Xing-Hua Yao; Yinghui Fu; Yong-Chun Yu
Journal:  Cereb Cortex       Date:  2013-05-16       Impact factor: 5.357

9.  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

10.  Non-iterative Directional Dark-field Tomography.

Authors:  Florian Schaff; Friedrich Prade; Yash Sharma; Martin Bech; Franz Pfeiffer
Journal:  Sci Rep       Date:  2017-06-12       Impact factor: 4.379

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  4 in total

1.  Brain virtual histology with X-ray phase-contrast tomography Part I: whole-brain myelin mapping in white-matter injury models.

Authors:  Matthieu Chourrout; Hugo Rositi; Elodie Ong; Violaine Hubert; Alexandre Paccalet; Louis Foucault; Awen Autret; Barbara Fayard; Cécile Olivier; Radu Bolbos; Françoise Peyrin; Claire Crola-da-Silva; David Meyronet; Olivier Raineteau; Héléne Elleaume; Emmanuel Brun; Fabien Chauveau; Marlene Wiart
Journal:  Biomed Opt Express       Date:  2022-02-23       Impact factor: 3.732

2.  Nanostructure-specific X-ray tomography reveals myelin levels, integrity and axon orientations in mouse and human nervous tissue.

Authors:  Els Fieremans; Markus Rudin; Marios Georgiadis; Aileen Schroeter; Zirui Gao; Manuel Guizar-Sicairos; Marianne Liebi; Christoph Leuze; Jennifer A McNab; Aleezah Balolia; Jelle Veraart; Benjamin Ades-Aron; Sunglyoung Kim; Timothy Shepherd; Choong H Lee; Piotr Walczak; Shirish Chodankar; Phillip DiGiacomo; Gergely David; Mark Augath; Valerio Zerbi; Stefan Sommer; Ivan Rajkovic; Thomas Weiss; Oliver Bunk; Lin Yang; Jiangyang Zhang; Dmitry S Novikov; Michael Zeineh
Journal:  Nat Commun       Date:  2021-05-19       Impact factor: 14.919

3.  Scattered Light Imaging: Resolving the substructure of nerve fiber crossings in whole brain sections with micrometer resolution.

Authors:  Miriam Menzel; Jan André Reuter; David Gräßel; Mike Huwer; Philipp Schlömer; Katrin Amunts; Markus Axer
Journal:  Neuroimage       Date:  2021-03-11       Impact factor: 6.556

4.  Label-free X-ray estimation of brain amyloid burden.

Authors:  Eshan Dahal; Bahaa Ghammraoui; Meijun Ye; J Carson Smith; Aldo Badano
Journal:  Sci Rep       Date:  2020-11-25       Impact factor: 4.996

  4 in total

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