renderSurfaceFunction: 3D surface-based rendering of volume images.

In neuroconductor-devel/ANTsR: ANTs in R: Quantification Tools for Biomedical Images

Description

Will use rgl to render a substrate (e.g. anatomical) and overlay image (e.g. functional).

Usage

renderSurfaceFunction(
  surfimg,
  funcimg,
  surfval = 0.5,
  basefval,
  offsetfval,
  smoothsval = 0,
  smoothfval = 0,
  blobrender = TRUE,
  alphasurf = 1,
  alphafunc = 1,
  outdir = "./",
  outfn = NA,
  mycol,
  physical = TRUE,
  movieDuration = 6,
  zoom = 1.1
)

Arguments

surfimg	Input image to use as rendering substrate.
funcimg	Input list of images to use as functional overlays.
surfval	intensity level that defines isosurface
basefval	intensity level that defines lower threshold for functional image
offsetfval	intensity level that defines upper threshold for functional image
smoothsval	smoothing for the surface image
smoothfval	smoothing for the functional image
blobrender	render a blob as opposed to a surface patch
alphasurf	alpha for the surface contour
alphafunc	alpha value for functional blobs
outdir	output directory
outfn	output file name
mycol	name of color or colors
physical	boolean
movieDuration	in seconds
zoom	magnification factor

Value

0 – Success
1 – Failure

Author(s)

Avants B, Kandel B

See Also

plotBasicNetwork

Examples

## Not run: 
       mnit<-getANTsRData("mni")
       mnit<-antsImageRead(mnit)
       mnia<-getANTsRData("mnia")
       mnia<-antsImageRead(mnia)
       mnit<-thresholdImage( mnit, 1, max(mnit) )
       mnia<-thresholdImage( mnia, 1, 2 )
       brain<-renderSurfaceFunction( surfimg =list( mnit ) ,
          list(mnia), alphasurf=0.1 ,smoothsval = 1.5 )
       
## End(Not run)

neuroconductor-devel/ANTsR documentation built on April 1, 2021, 1:02 p.m.