abpN4: MR image bias correction based on the N4 algorithm.

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

Description

Truncate outlier intensities and bias correct with the N4 algorithm.

Usage

abpN4(
  img,
  intensityTruncation = c(0.025, 0.975, 256),
  mask,
  usen3 = FALSE,
  ...
)

Arguments

img	image to be bias corrected
intensityTruncation	quantiles for image truncation.
mask	optional antsImage mask
usen3	Use N3 algorithm instead of N4
...	additional arguments to pass to n4BiasFieldCorrection

Value

outputs a bias corrected image. 1 indicates failure.

Author(s)

Tustison N, Avants BB

Examples

img <- antsImageRead(getANTsRData("r16"))
img2 <- abpN4( img )
img3 = abpN4(img)
testthat::expect_equal( mean( img2 ), 82.6, tolerance = 1e-2 )
testthat::expect_equal( img2, img3 )

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