combineDWIdata

Character, determines
  how the unweighted S0 images are handled. Six strategies are implemented.
  <code>s0strategy="first"</code> copies the S0 images from object <code>x1</code>,
  <code>s0strategy="second"</code> copies the S0 images from object 

s0strategy

This function creates a dtiData-object from two compatible 
dtiData-objects. Compatible means that the spatial dimensions
coincide, but gradients and b-values may be different.

manip

Diffusion Weighted Imaging (DWI) 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. The functionality includes
        diffusion tensor imaging (DTI), structural adaptive smoothing
        in in case of (DTI) (K. Tabelow, J. Polzehl, V. Spokoiny, and
        H.U. Voss, Diffusion Tensor Imaging: Structural Adaptive
        Smoothing, Neuroimage 39(4), 1763-1773 (2008)), modeling for
        high angular resolution diffusion weighted imaging (HARDI)
        using Q-ball-reconstruction and tensor mixture models and a
        streamline fiber tracking for tensor and tensor mixture models.
        The package provides functionality to manipulate and visualize
        results in 2D and 3D.

combineDWIdata: Combine two objects of class "dtiData")

Description

Usage

Arguments

Value

Details

See Also