MR image bias correction based on the N4 algorithm.

Truncate outlier intensities and bias correct with the N4 algorithm.

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

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 )