pairwiseImageDistanceMatrix: Simple pairwiseImageDistanceMatrix function for images

In neuroconductor-devel/ANTsR: ANTs in R: Quantification Tools for Biomedical Images

Description

Output contains the NImages x NImages matrix of c('PearsonCorrelation','Mattes') or any Image Metric values available in iMath. 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

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)
metrictype	similarity function
nclusters	integer controlling max number of clusters to search over

Value

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

Author(s)

Avants BB

Examples

## Not run: 
  # dsimdata<-pairwiseImageDistanceMatrix( 3, imagefilelist, nclusters = 5 )

## End(Not run)

neuroconductor-devel/ANTsR documentation built on April 1, 2021, 1:02 p.m.