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fslr (version 1.0)

zscore_img: Get Z-score over a margin of an img

Description

Standardizes an image either by the axial, sagittal, or coronal slice

Usage

zscore_img(img, mask = NULL, margin = 3, remove.na = TRUE,
  remove.nan = TRUE, remove.inf = TRUE, remove.val = 0)

Arguments

img
character path of image or an object of class nifti
mask
character path of mask or an object of class nifti
margin
Margin of image to z-score over (3-Axial, 2-Sagittal, 1-Coronal)
remove.na
(logical) change NAs to remove.val
remove.nan
(logical) change NaN to remove.val
remove.inf
(logical) change Inf to remove.val
remove.val
(logical) value to put the NA/NaN/Inf

Value

  • Array of object of class nifti

See Also

aperm

Examples

Run this code
dim = c(100, 30, 5)
img = array(rnorm(prod(dim), mean=4, sd=4),
dim=dim)

truth2 = img
for (i in 1:dim(img)[2]) {
truth2[,i,] = (truth2[,i,]- mean(truth2[,i,]))/sd(truth2[,i,])
}

truth1 = img
for (i in 1:dim(img)[1]) {
truth1[i,,] = (truth1[i,,]- mean(truth1[i,,]))/sd(truth1[i,,])
}

truth3 = img
for (i in 1:dim(img)[3]) {
truth3[,,i] = (truth3[,,i]- mean(truth3[,,i]))/sd(truth3[,,i])
}
try3 = zscore_img(img, margin=3)
stopifnot(all.equal(try3, truth3))
try2 = zscore_img(img, margin=2)
stopifnot(all.equal(try2, truth2))
try1 = zscore_img(img, margin=1)
stopifnot(all.equal(try1, truth1))

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