data_brain

The <file>data_brain.nii.gz</file> dataset was obtained by applying the <em>FST/BET brain extraction tool</em> to the diffusion data set <file>data.nii.gz</file>. <em>BET</em> deletes non-brain tissue from an image of the whole head.

data

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).  An optimized reconstruction technique based on the
        generalized q-sampling imaging (GQI) approach is adopted to
        reconstruct orientation distribution function (ODF) profiles.
        Two methods have been implemented to estimate fibre
        orientations. 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.  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.

Adelino da Silva

gdimap

Generalized Diffusion Magnetic Resonance Imaging

data_brain function

The file <file>data_brain.nii.gz</file> is in gzipped NIfTI format.
	The R-package <pkg>oro.nifti</pkg> is required to read NIfTI files.

data_brain: Extracted Brain Data Set

Description

Arguments

format

Details

References

See Also