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 <code>x2</code>,
  <code>s0strategy="both"</code> used the S0 images from both objects.
  <code>s0strategy="rfirst"</code> creates one average S0 image from object <code>x1</code>,
  <code>s0strategy="rsecond"</code> creates one average S0 image from object <code>x2</code>,
  <code>s0strategy="rboth"</code> creates one average S0 image from the S0 images in both objects.


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),
diffusion kurtosis imaging (DKI), modeling for high angular resolution
diffusion weighted imaging (HARDI) using Q-ball-reconstruction and
tensor mixture models, several methods for structural adaptive
smoothing including POAS and msPOAS, 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