Package: gdimap
Version: 0.1-8
Date: 2014-11-08
Title: Generalized Diffusion Magnetic Resonance Imaging
Author: Adelino Ferreira da Silva <afs@fct.unl.pt>
Maintainer: Adelino Ferreira da Silva <afs@fct.unl.pt>
Depends: R (>= 3.0.0), rgl, Rniftilib
Imports: grid, gridExtra, colorspace, geometry, gsl, abind, movMF
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.
LazyData: yes
NeedsCompilation: no
License: GPL (>= 2)
URL: http://www.r-project.org
Repository: CRAN
Packaged: 2014-11-07 10:53:28 UTC; arfs
Date/Publication: 2014-11-07 14:06:06

Package: gdimap
Version: 0.1-9
Date: 2015-01-07
Title: Generalized Diffusion Magnetic Resonance Imaging
Author: Adelino Ferreira da Silva <afs@fct.unl.pt>
Maintainer: Adelino Ferreira da Silva <afs@fct.unl.pt>
Depends: R (>= 3.0.0), rgl
Imports: oro.nifti, movMF, grid, gridExtra, colorspace, geometry, gsl,
abind
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.
LazyData: yes
NeedsCompilation: no
License: GPL (>= 2)
URL: http://www.r-project.org
Repository: CRAN
Packaged: 2015-01-07 15:03:27 UTC; arfs
Date/Publication: 2015-01-07 17:51:06