Literature DB >> 34510596

High fidelity fiber orientation density functions from fiber ball imaging.

Hunter G Moss1,2, Jens H Jensen1,2,3.   

Abstract

The fiber orientation density function (fODF) in white matter is a primary physical quantity that can be estimated with diffusion MRI. It has often been employed for fiber tracking and microstructural modeling. Requirements for the construction of high fidelity fODFs, in the sense of having good angular resolution, adequate data to avoid sampling errors, and minimal noise artifacts, are described for fODFs calculated with fiber ball imaging. A criterion is formulated for the number of diffusion encoding directions needed to achieve a given angular resolution. The advantages of using large b-values (≥6000 s/mm2 ) are also discussed. For the direct comparison of different fODFs, a method is developed for defining a local frame of reference tied to each voxel's individual axonal structure. The Matusita anisotropy axonal is proposed as a scalar fODF measure for quantifying angular variability. Experimental results, obtained at 3 T from human volunteers, are used as illustrations.
© 2021 John Wiley & Sons, Ltd.

Entities:  

Keywords:  angular resolution; diffusion MRI; fiber ball imaging; fiber orientation density function; high b-value; white matter

Mesh:

Year:  2021        PMID: 34510596      PMCID: PMC8919238          DOI: 10.1002/nbm.4613

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


  47 in total

1.  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

Review 2.  Multiple-fiber reconstruction algorithms for diffusion MRI.

Authors:  Daniel C Alexander
Journal:  Ann N Y Acad Sci       Date:  2005-12       Impact factor: 5.691

3.  Microstructural organization of axons in the human corpus callosum quantified by diffusion-weighted magnetic resonance spectroscopy of N-acetylaspartate and post-mortem histology.

Authors:  Itamar Ronen; Matthew Budde; Ece Ercan; Jacopo Annese; Aranee Techawiboonwong; Andrew Webb
Journal:  Brain Struct Funct       Date:  2013-06-21       Impact factor: 3.270

4.  Principal curves as skeletons of tubular objects: locally characterizing the structures of axons.

Authors:  Erhan Bas; Deniz Erdogmus
Journal:  Neuroinformatics       Date:  2011-09

5.  Fiber ball imaging.

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

6.  MR diffusion tensor spectroscopy and imaging.

Authors:  P J Basser; J Mattiello; D LeBihan
Journal:  Biophys J       Date:  1994-01       Impact factor: 4.033

7.  Degeneracy in model parameter estimation for multi-compartmental diffusion in neuronal tissue.

Authors:  Ileana O Jelescu; Jelle Veraart; Els Fieremans; Dmitry S Novikov
Journal:  NMR Biomed       Date:  2015-11-29       Impact factor: 4.044

8.  On the scaling behavior of water diffusion in human brain white matter.

Authors:  Jelle Veraart; Els Fieremans; Dmitry S Novikov
Journal:  Neuroimage       Date:  2018-10-04       Impact factor: 6.556

9.  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

10.  Comparison of cumulant expansion and q-space imaging estimates for diffusional kurtosis in brain.

Authors:  Vaibhav Mohanty; Emilie T McKinnon; Joseph A Helpern; Jens H Jensen
Journal:  Magn Reson Imaging       Date:  2018-01-03       Impact factor: 2.546

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  1 in total

1.  Impact of intra-axonal kurtosis on fiber orientation density functions estimated with fiber ball imaging.

Authors:  Jens H Jensen
Journal:  Magn Reson Med       Date:  2022-04-18       Impact factor: 3.737

  1 in total

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