Generalized Diffusion Magnetic Resonance Imaging
Description
Diffusion anisotropy has been used to characterize white
matter neuronal pathways in the human brain, and infer global
connectivity in the central nervous system. The package
implements algorithms to estimate and visualize the orientation
of neuronal pathways in model-free methods (q-space imaging
methods). For estimating fibre orientations two methods have
been implemented. One method implements fibre orientation
detection through local maxima extraction. A second more robust
method is based on directional statistical clustering of ODF
voxel data. Fibre orientations in multiple fibre voxels are
estimated using a mixture of von Mises-Fisher (vMF)
distributions. This statistical estimation procedure is used to
resolve crossing fibre configurations. Reconstruction of
orientation distribution function (ODF) profiles may be
performed using the standard generalized q-sampling imaging
(GQI) approach, Garyfallidis' GQI (GQI2) approach, or Aganj's
variant of the Q-ball imaging (CSA-QBI) approach. Procedures
for the visualization of RGB-maps, line-maps and glyph-maps of
real diffusion magnetic resonance imaging (dMRI) data-sets are
included in the package.