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)
}