SMRI Intensity Normalize and Create Predictors

SMRI Intensity Normalize and Create Predictors

norm_predictors(normalized, normalization = c("trimmed_z", "z",
  "quantile", "minmax", "whitestripe_T1", "whitestripe_T2",
  "whitestripe_hybrid"), remask = TRUE, suffix = normalized$suffix,
  outdir = normalized$outdir, verbose = TRUE, radius = rep(1, 3),
  sigma = c(3, 5, 10, 20), ...)

Arguments

normalized

The normalized element from seg_normalize output
normalization

Normalization Method
remask

should mask_img be applied to the output images after normalization
suffix

what the append to end of the output filename
outdir

Output directory
verbose

print diagnostic messages
radius

radius of neighborhood. See smri_corr_img and smri_moments
sigma

vector of sigmas for smoothers in FSL see fsl_smooth_images
...

Additional arguments to normaliztaion function

Value

List of images