trimmed_z: Trimmed Z-score Image

In muschellij2/msseg: Segmentation of Lesions for Multiple Sclerosis

Description

Creates a normalized image using z-scores

Usage

trimmed_z(img, mask = NULL, remask = FALSE, trim = 0.2, center = TRUE,
  scale = TRUE)

Arguments

img	Object of class nifti
mask	Binary object of class nifti. If missing, whole image used.
remask	Should the result be masked after z-scoring (all outside set to 0)
trim	The trim passed to trim_mean_sd
center	Logical indicating whether the value should be centered by trimmed mean
scale	Logical indicating whether the value should be scaled by trimmed sd

Value

Object of class nifti

Examples

nim = oro.nifti::nifti(img = array(rnorm(1000), dim = c(10, 10, 10)))
mask = nim > 0
trimmed_z(nim, mask)

muschellij2/msseg documentation built on May 23, 2019, 9:53 a.m.