Convert vector to multichannel antsImage.

Converts a vector of size n-entries in mask times number of channels to a multi-channel image with the same dimensionality as the mask.

vectorToMultichannel(v, mask)

Arguments

v

input multichannel vector
mask

mask of same dimensionality as multichannelimage

Value

multichannelimage is output

Examples


fi <- antsImageRead(getANTsRData("r16") ) %>%
  resampleImage(c(60,60),1,0)
mi <- antsImageRead(getANTsRData("r64") ) %>%
  resampleImage(c(60,60),1,0)
mytx <- antsRegistration(fixed=fi, moving=mi, typeofTransform = c('SyN') )
mcimg = antsImageRead( mytx$fwd[1] )
msk = getMask( fi )
vv=multichannelToVector(mcimg,msk)
mcimg2=vectorToMultichannel( vv, msk )
vv2=multichannelToVector(mcimg2,msk)
cor.test(vv2,vv)
#> 
#> 	Pearson's product-moment correlation
#> 
#> data:  vv2 and vv
#> t = 2094398729, df = 1948, p-value < 2.2e-16
#> alternative hypothesis: true correlation is not equal to 0
#> 95 percent confidence interval:
#>  1 1
#> sample estimates:
#> cor 
#>   1 
#> 
stopifnot( all( mcimg2[30,30] == mcimg[30,30] ) )