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>minanindex dtiData 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)