Resample an image

Resamples an antsImage or nifti object

resample_image(
  img,
  parameters,
  parameter_type = c("mm", "voxels"),
  interpolator = c("nearestneighbor", "linear", "gaussian", "windowedsinc", "bspline"),
  ...
)

# S4 method for character
resample_image(
  img,
  parameters,
  parameter_type = c("mm", "voxels"),
  interpolator = c("nearestneighbor", "linear", "gaussian", "windowedsinc", "bspline"),
  ...
)

# S4 method for nifti
resample_image(
  img,
  parameters,
  parameter_type = c("mm", "voxels"),
  interpolator = c("nearestneighbor", "linear", "gaussian", "windowedsinc", "bspline"),
  ...
)

# S4 method for antsImage
resample_image(
  img,
  parameters,
  parameter_type = c("mm", "voxels"),
  interpolator = c("nearestneighbor", "linear", "gaussian", "windowedsinc", "bspline"),
  ...
)

.resample_image(
  img,
  parameters,
  parameter_type = c("mm", "voxels"),
  interpolator = c("nearestneighbor", "linear", "gaussian", "windowedsinc", "bspline")
)

Arguments

img	character path of image or an object of class nifti, or antsImage
parameters	parameters to pass as resampleParams in resampleImage
parameter_type	Are the parameters in units of voxels or millimeters (mm)
interpolator	what type of interpolation should be done
...	not currently used

Value

An antsImage or nifti depending on input

Examples

library(oro.nifti)
library(extrantsr)
n = 30
x = nifti(array(rnorm(n^3*10), dim = c(n, n, n)))
res = resample_image(x, parameters = c(0.5, 0.5, 0.5))
res
#> NIfTI-1 format
#>   Type            : nifti
#>   Data Type       : 16 (FLOAT32)
#>   Bits per Pixel  : 32
#>   Slice Code      : 0 (Unknown)
#>   Intent Code     : 0 (None)
#>   Qform Code      : 1 (Scanner_Anat)
#>   Sform Code      : 0 (Unknown)
#>   Dimension       : 60 x 60 x 60
#>   Pixel Dimension : 0.5 x 0.5 x 0.5
#>   Voxel Units     : mm
#>   Time Units      : Unknown