priorBasedSegmentation: spatial prior-based image segmentation.

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

Description

markov random field regularized, prior-based image segmentation that is a wrapper around atropos (see ANTs and related publications).

Usage

priorBasedSegmentation(
  img,
  priors,
  mask,
  priorWeight = 0.25,
  mrf = 0.1,
  iterations = 25
)

Arguments

img	input image or image list for multivariate segmentation
priors	list of priors that cover the number of classes
mask	segment inside this mask
priorWeight	usually 0 (priors used for initialization only), 0.25 or 0.5.
mrf	regularization, higher is smoother, a numerical value in range 0.0 to 0.2
iterations	maximum number of iterations. could be a large value eg 25.

Value

segmentation and probability images

Author(s)

Brian B. Avants

Examples

fi = antsImageRead( getANTsRData( "r16" ) )
seg = kmeansSegmentation( fi, 3 )
msk = thresholdImage( seg$segmentation, 1, Inf )
pseg = priorBasedSegmentation( fi, seg$probabilityimages, msk, 0.25, 0.1, 3 )

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