Smoothness Estimation using smoothest — fsl

Smoothness Estimation using smoothest

fsl_smoothest(
  file,
  residual_image,
  z_image,
  dof = NULL,
  opts = "",
  verbose = TRUE,
  ...
)

Arguments

file: filename of input brain mask
residual_image: 4d residual image. If specified, then dof must be specified.
z_image: z-statistic image. Cannot be specified if residual_image is specified
dof: number of degrees of freedom
opts: (character) operations to be passed to smoothest
verbose: (logical) print out command before running
...: additional arguments to pass to fslcmd

Value

An output of smoothness estimate

Examples

if (have_fsl()) {
file = mni_fname(mm = 2, brain = TRUE, mask = TRUE)
img = mni_img(mm = 2, brain = TRUE, mask = FALSE)
mask = mni_img(mm = 2, brain = TRUE, mask = TRUE)
img = zscore_img(img = img, mask = mask)
est = fsl_smoothest(file = file, z_image = img)
}
#> smoothest --mask="/usr/local/fsl/data/standard/MNI152_T1_2mm_brain_mask.nii.gz"   --zstat='/private/var/folders/1s/wrtqcpxn685_zk570bnx9_rr0000gr/T/RtmpKzob0N/file85755210394f.nii.gz' --verbose ;