Purpose The orientation distribution function (ODF), which is obtained from the radial
integral of the probability density function weighted by rn r^ n (rr is the radial length), has …

Using high angular resolution diffusion‐weighted images, spherical deconvolution enables
multiple white matter fiber populations to be resolved within a single voxel by computing the …

Estimation of white matter fiber orientation distribution function (fODF) is the essential first
step for reliable brain tractography and connectivity analysis. Most of the existing fODF …

Diffusion weighted magnetic resonance imaging is a powerful tool that can be employed to
study white matter microstructure by examining the 3D displacement profile of water …

For a reliable neural connectivity analysis in the human brain using diffusion magnetic
resonance imaging (dMRI), an accurate estimation of the local white matter fiber orientation …

Data from diffusion magnetic resonance imaging (dMRI) can be used to reconstruct fiber
tracts, for example, in muscle and white matter. Estimation of fiber orientations (FOs) is a …

The choice of local HARDI reconstruction technique is crucial for discerning multiple fiber
orientations, which is itself of substantial importance for tractography, and reliable and …

Purpose To demonstrate an optimized rectification strategy for fiber orientation density
functions (fODFs). Theory and Methods In white matter, fODFs can be estimated with …

Diffusion magnetic resonance imaging (dMRI) enables in vivo investigation of white matter
tracts, where the estimation of fiber orientations (FOs) is a crucial step. Dictionary-based …

In recent years, multiple data-driven fiber orientation distribution function (fODF) estimation
algorithms and automatic tractography pipelines have been proposed to address the …