pairwiseImageDistanceMatrix: Simple pairwiseImageDistanceMatrix function for images

In stnava/itkImageR: Examples using Rcpp to interface R and ITK

Description

Output contains the NImages x NImages matrix of c("PearsonCorrelation","Mattes") or any Image Metric values available in ImageMath. Similarity is computed after an affine registration is performed. You can also cluster the images via the dissimilarity measurement, i.e. the negated similarity metric. So, the estimated dissimilarity is returned in the matrix.

Usage

wmat<-pairwiseImageDistanceMatrix( dim , myFileList, metrictype="PearsonCorrelation", nclusters = NA  )

Arguments

dim	imageDimension
myFileList	dd<-"MICCAI-2013-SATA-Challenge-Data/CAP/training-images/" myFileList<-list.files(path=dd, pattern = glob2rx("*nii.gz"),full.names = T,recursive = T)

Value

raw dissimilarity matrix is output, symmetrized matrix and clustering (optional) in a list

Author(s)

Avants BB

Examples

  dsimdata<-pairwiseImageDistanceMatrix( 3, imagefilelist, nclusters = 5 ) 

stnava/itkImageR documentation built on May 30, 2019, 7:21 p.m.