lungct: Processing of Lung Computed Tomography ('CT') Scans

This is a wrapper for RIA R package. It calculates first-order, GLCM, and/or GLRLM on the whole 3D lung, left and right lungs separately

RIA_lung(
  img,
  mask,
  sides = c("right", "left"),
  features = c("fo", "glcm", "glrlm"),
  bins_in = 8,
  equal_prob = FALSE,
  distance = 1,
  statistic = "mean(X, na.rm = TRUE)",
  verbose_in = TRUE
)

`img`	CT scan in ANTs image file format
`mask`	Mask of CT scan in ANTs image file format
`sides`	Choose to calculate radiomic features on the right and/or left lungs. Note: Right lung = 1, left lung = 2, non-lung = 0
`features`	Type of radiomic features to calculate. Options: first-order, GLCM, and/or GLRLM
`bins_in`	Number of bins to discretize image
`equal_prob`	logical, indicating to cut data into bins with equal relative frequencies. If FALSE, then equal interval bins will be used.
`distance`	integer, distance between the voxels being compared.
`statistic`	string, defining the statistic to be calculated on the array of GLCM statistics. By default, statistic is set to "mean", however any function may be provided. The proper syntax is: function(X, attributes). The supplied string must contain a "X", which will be replaced with the array of the GLCM statistics value. Further attributes of the function may also be given. For example, if you wish to calculate the median of all GLCMs calculated in different directions, then it must be supplied as: median(X, na.rm = TRUE).
`verbose_in`	logical, indicating whether to print detailed information. Most prints can also be suppressed using the `suppressMessages` function.