abpN4: MR image bias correction based on the N4 algorithm.
In stnava/ANTsR: ANTs in R: Quantification Tools for Biomedical Images

abpN4

R Documentation

MR image bias correction based on the N4 algorithm.

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)

stnava/ANTsR documentation built on April 16, 2024, 12:17 a.m.