dtiTensor

object

Additional arguments specifying the model
<item>method</item>{ if <code>model=="linear"</code> estimates are obtained using a linearization of the tensor model. This was the estimate used in Tabelow et.al. (2008). <code>model=="nonlinear"</code> uses a 
n

generic function that estimates, in each voxel, the diffusion tensor from
the DWI data contained in an object of class <code>dtiData</code>.

manip

models

Diffusion Weighted Imaging is a Magnetic Resonance Imaging
             modality, that measures diffusion of water in tissues like the human brain.
             The package contains R-functions to process diffusion-weighted data in the 
             context of the diffusion tensor model (DTI). This includes the calculation 
             of anisotropy measures and, most important, the implementation of our structural
             adaptive smoothing algorithm as described in K. Tabelow, J. Polzehl, V. Spokoiny,
             and H.U. Voss, Diffusion Tensor Imaging: Structural Adaptive Smoothing, 
             Neuroimage 39(4), 1763-1773 (2008).

dtiTensor: Estimate the diffusion tensor from DWI data

Description

Usage

Arguments

Value

References

See Also

Examples