radiomics_slice: Radiomic Calculation on CT Slices

In neuroconductor-devel/lungct: Processing of Lung Computed Tomography ('CT') Scans

Radiomic Calculation on CT Slices

Description

Calculate radiomic features on the each 2D slice of the whole 3D lung, right and left lungs separately

Usage

radiomics_slice(
  img,
  mask,
  sides = c("right", "left"),
  plane = "axial",
  featuresFirst = c("mean", "sd", "skew", "kurtosis", "min", "q1", "median", "q3", "max",
    "energy", "rms", "uniformity", "entropy"),
  featuresSpatial = c("mi", "gc", "fd"),
  tidy = TRUE,
  reduce = TRUE
)

Arguments

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
plane	One of: axial, coronal, sagittal
featuresFirst	First level radiomic features to calculate
featuresSpatial	Spatial radiomic features to calculate
tidy	Logical. If true, outputs a tidy dataframe with results. If false, outputs nested loop.
reduce	Logical. If true, reduces the dimensions of the scan based on extent of mask using reduce_scan.

Value

Radiomic values from every slice in both the right and left lungs

neuroconductor-devel/lungct documentation built on June 15, 2025, 3:30 a.m.