| plot {dti} | R Documentation |
Generic plot function for visualization of objects of class "dtiData", "dtiIndices" and class "dtiTensor"
plot(x, y, ...)
x |
object of class dtiIndices, dtiData or dtiTensor |
y |
not used |
... |
additional arguments such as
dtiData) only. Defaults to the first S0 image.method==1 and method==2 specify two different color schemes for
directional FA-maps. method==3 specifies visualization of dtiIndices using color coded bary coordinates. (for class
dtiIndices only)is.null(minanindex) specify minanindex as corresponding quantile of the fractal anisotropy (FA) index.FA>minanindexdtiData and dtiIndices only)min(1,x$anindex/contrast.enh instead
of the anisotropy index itself. Effective values are within the interval (0,1).settings for function\code{par} (for class
\code{dtiTensor} only)
settings for function\code{show.image} (for class
\code{dtiData} and \code{dtiIndices} only)
xind{If provided restrict display to indices specified in xind for x-direction.}
yind{If provided restrict display to indices specified in xind for y-direction.}
zind{If provided restrict display to indices specified in xind for z-direction.}
|
This function allows to select a slide (2D) by arguments
slice and view. For objects of class "dtiData" gradient can be used to specify a specific data cube
associated with the index of a gradient direction.
For objects of class "dtiData" images are produces that are
scaled by the maximal observed image value. This guarantees
that subsequently produced images are on a comparable grey scale.
The resulting image is returned.
For objects of class "dtiTensor" the tensor itself, fractional anisotropy (FA), mean diffusivity (MD) and a color coded anisotropy map are provided. NULL is returned.
For objects of class "dtiIndices" color coded anisotropy
maps are produced depending on the specification in method.
The resulting image is returned.
an image of class adimpro for objects of class "dtiData" or "dtiIndices", invisible(NULL) otherwise.
Karsten Tabelow tabelow@wias-berlin.de, J"org Polzehl polzehl@wias-berlin.de
K. Tabelow, J. Polzehl, H.U. Voss, and V. Spokoiny. Diffusion Tensor Imaging: Structural adaptive smoothing, NeuroImage 39(4), 1763-1773 (2008).
http://www.wias-berlin.de/projects/matheon_a3/
dtiIndices, dtiData, dtiTensor
## Not run: demo(dti_art)