tensor2medinria

filename

index to define a subcube in x-direction. If <code>is.null(xind</code> all voxel indices are used.

xind

index to define a subcube in y-direction. If <code>is.null(yind</code> all voxel indices are used.

yind

index to define a subcube in z-direction. If <code>is.null(zind</code> all voxel indices are used.

zind

Write Tensor-Data as NIFTI File. Interface function to MedINRIA

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).

tensor2medinria: Write Tensor-Data as NIFTI File

Description

Usage

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Details

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See Also

Examples