About “axial” and “radial” diffusivities
By Claudia A. M. Gandini Wheeler-Kingshott, Mara Cercignani. Magnetic Resonance in Medicine, 2009
888 citations recorded by the source corpus.
Subfields: Radiology, Nuclear Medicine and Imaging, Rheumatology
View Paper: https://www.semanticscholar.org/paper/d8bc24a48ee486031f16efde97a27c8e6bbdff95
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In Radiology, Nuclear Medicine and Imaging
- Jacques-Donald Tournier
- Ben Jeurissen
- Alan Connelly
- Alexander Leemans
- Jan Sijbers
- Rowan J. Smith
- Derek K. Jones
- David A. Raffelt
Citations in the corpus
- Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging (2013, background): “In addition, it is well known that tensor-derived measures of so-called WM integrity, such as FA, as well of other indices such as axial and radial diffusivity, all of which are currently widely used, become ambiguous in these regions [Jones and Cercignani, 2010; Wheeler-Kingshott and Cercignani, 20”
- The cingulum bundle: Anatomy, function, and dysfunction (2018, neutral): “For this reason, it is difficult to interpret differences/changes in FA and diffusivity metrics in terms of any specific biophysical property of white matter (Wheeler-Kingshott and Cercignani, 2009; Jones, 2010).”
- Life-span changes of the human brain white matter: diffusion tensor imaging (DTI) and volumetry. (2010, background): “Note that the nomenclature (‘‘mean’’ and ‘‘radial’’ diffusivity) pertains to the eigenvalues of the diffusion tensor and not necessarily to the underlying brain tissue (Wheeler-Kingshott and Cercignani 2009).”
- Investigating white matter fibre density and morphology using fixel-based analysis (2017, background): “…known to contain crossing fibres (Jeurissen et al., 2012), and voxel-averaged measures such as FA are not fibre-specific (or even erroneous) in such regions, which confounds interpretation of apparent differences (Douaud et al., 2011; Pierpaoli et al., 2001; Wheeler-Kingshott and Cercignani, 2009).”
- Characterization of Cerebral White Matter Properties Using Quantitative MRI Stains (2011, background): “It is important to note that the interpretation of all DTI stains (other than MD) is particularly challenging in regions with significant partial volume averaging, particularly in areas of crossing WM tracts (Alexander et al., 2001; Wheeler-Kingshott and Cercignani, 2009).”
- Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data (2014, neutral): “It also complicates the interpretation of DTI metrics, which are often suggested for use as surrogate markers of WM ‘integrity’ (Jones, 2010; Vos et al., 2012; Wheeler-Kingshott and Cercignani, 2009; Jeurissen et al., 2013).”