RAD.firstOrderFeatureImage: function to calculate the first order features

In kbolab/moddicom: Package for handling DICOM RT files

Description

Calculates Shannon entropy, kursosis, Skewness, mean, standard deviation and energy of a given list of arrays of voxels

Usage

RAD.firstOrderFeatureImage(inputData)

Arguments

inputData

a list where each element is an array of the voxel of the image. Each element of the list normally refers to a patient.

Value

six lists: the first list contains the entropies, the second the kurtosis, the third the skewness, the fourth the mean, the fifth the standard deviation and the sixth the energy

Examples

## Not run: 
# Create an instante of mmButo and load some cases
obj<-mmButo()
obj$loadCollection(Path = '/progetti/immagini/urinaEasy')

# get the three ROIs
Retto<-obj$getROIVoxel(ROIName="Retto")  

# get the possible biopsy
aa<-RAD.firstOrderFeatureImage(inputData = Retto )
aa$entropy

## End(Not run)#' #' 

kbolab/moddicom documentation built on Nov. 29, 2020, 9:11 p.m.