Apparent Fibre Density: A novel measure for the analysis of diffusion-weighted magnetic resonance images
By David A. Raffelt, Jacques-Donald Tournier, Stephen E. Rose, Gerard R. Ridgway, Robert D. Henderson, Stuart Crozier, Olivier Salvado, Alan Connelly. NeuroImage, 2012
599 citations recorded by the source corpus.
Subfields: Psychiatry and Mental health, Public Health, Environmental and Occupational Health, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/e29e301d4af44ae9f8fe8338ddfd4dec0cf7e13f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Psychiatry and Mental health
In Radiology, Nuclear Medicine and Imaging
- Jacques-Donald Tournier
- Alan Connelly
- Fernando Calamante
- Rowan J. Smith
- Ben Jeurissen
- Maxime Descoteaux
- Alexander Leemans
- Jan Sijbers
Citations in the corpus
- Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data (2014, unknown): “In addition, the CSF and GM volume fractions may be used as new quantitativemetrics, just as the fODF is nowadays used as a quantitative measure for the apparent density of WM fibres (Raffelt et al., 2012; Dell'Acqua et al., 2013).”
- Anatomically-constrained tractography: Improved diffusion MRI streamlines tractography through effective use of anatomical information (2012, methodology): “…to improved accuracy of the finite difference approach used to estimate spatial derivatives, and the improved representation of sub-voxel intensity information (a similar observationwasmade in the context of image registration for the computation of Apparent Fibre Density (Raffelt et al., 2011)).”