radiomics_slice: Radiomic Calculation on CT Slices

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

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 April 1, 2021, 4:40 a.m.