norm_predictors: SMRI Intensity Normalize and Create Predictors

In neuroconductor/smri.process: Processing of Structural Magnetic Resonance Imaging

Description

SMRI Intensity Normalize and Create Predictors

Usage

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

neuroconductor/smri.process documentation built on Sept. 29, 2020, 2:32 p.m.