"dwi"
classes is used for Diffusion Weighted Imaging (DWI) data and, within the Diffusion Tensor Model (DTI), diffusion tenors and its indices."dwi"
is only a superclass, no instances should be created. However, objects can be created by calls of the form new("dwi", ...)
. "dtiData"
, "dtiTensor"
, and "dtiIndices"
can be created from their correspondingly named functions and methods.K. Tabelow, H.U. Voss and J. Polzehl, Modeling the orientation distribution function by mixtures of angular central Gaussian distributions, Journal of Neuroscience Methods, to appear.
J. Polzehl and K. Tabelow, Structural adaptive smoothing in diffusion tensor imaging: The R package dti, Journal of Statistical Software, 31 (2009) pp. 1--24. K. Tabelow, J. Polzehl, V. Spokoiny and H.U. Voss. Diffusion Tensor Imaging: Structural adaptive smoothing, NeuroImage 39(4), 1763-1773 (2008).
dtiData
,
readDWIdata
,
sdpar-methods
,
getsdofsb-methods
,
dwiRiceBias-methods
,
dtiTensor-methods
,
dwiMixtensor-methods
,
dti.smooth-methods
,
dwi.smooth-methods
,
dtiIndices-methods
,
dwiQball-methods
,
tracking-methods
,
show3d-methods
,
plot-methods
,
print-methods
,
summary-methods
,
extract-methods