histogramWarpImageIntensities: Transform image intensities based on histogram mapping.

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

Transform image intensities based on histogram mapping.

Description

Apply B-spline 1-D maps to an input image for intensity warping.

Usage

histogramWarpImageIntensities(
  image,
  breakPoints = c(0.25, 0.5, 0.75),
  displacements = NULL,
  clampEndPoints = c(FALSE, FALSE),
  sdDisplacements = 0.05,
  transformDomainSize = 20
)

Arguments

image	input image.
breakPoints	parametric points at which the intensity transform displacements are specified between [0, 1]. Alternatively, a single number can be given and the sequence is linearly spaced in [0, 1].
displacements	displacements to define intensity warping. Length must be equal to the breakPoints. Alternatively, if NULL random displacements are chosen (random normal: mean = 0, sd = sdDisplacements).
clampEndPoints	specify non-zero intensity change at the ends of the histogram.
sdDisplacements	characterize the randomness of the intensity displacement.
transformDomainSize	Defines the sampling resolution of the B-spline warping.

Value

warped intensity image

Author(s)

Tustison NJ

Examples

library( ANTsR )
image <- antsImageRead( getANTsRData( "r16" ) )
transformedImage <- histogramWarpImageIntensities( image, transformDomainSize = 10 )
rm(image); gc()
rm(transformedImage); gc()

neuroconductor-devel/ANTsR documentation built on July 3, 2025, 10:41 p.m.