randomMask

an antsImage, either continuous or mask-like. This will
define the space where to sample voxels from. If this image is
continous (i.e., a T1), voxels will be sampled from all nonzero
voxels.

the number of random voxels to select from

nsamples

logical, if true the input image must be multi-label
and the the output will have nsamples from each label (i.e., 200
samples from each label)

perLabel


Get a mask with a specific number of voxels randomly
distributed on the input image/mask


ANTsR interfaces state of the art image processing with R
statistical methods. The project grew out of the need, at University of
Pennsylvania, to develop large-scale analytics pipelines that track provenance
from scanner to scientific study. ANTsR wraps an ANTs and ITK C++ core via Rcpp
to access these frameworks from within R and support reproducible analyses.
Specialized functionality in ANTsR includes image segmentation and
registration along imaging specific variations of principal component
and canonical correlation analysis.

randomMask: Get a random mask

Description

Usage

Arguments

Value

Examples