basisWarp: Generate a deformable map from basis

In ANTsX/ANTsRNet: Neural Networks for Medical Image Processing

Generate a deformable map from basis

Description

The function will generate a deformable transformation (via exponential map) from a basis of deformations.

Usage

basisWarp(
  deformationBasis,
  betaParameters,
  numberOfCompositions = 2,
  spatialSmoothing = 0
)

Arguments

deformationBasis	list containing deformationBasis set
betaParameters	vector containing deformationBasis set parameters
numberOfCompositions	integer greater than or equal to one
spatialSmoothing	spatial smoothing for generated deformation

Value

list of fields

Author(s)

Avants BB

See Also

randomImageTransformParametersBatchGenerator

Examples

## Not run: 
library( ANTsR )
i1 = ri( 1 ) %>% resampleImage( 4 )
i2 = ri( 2 ) %>% resampleImage( 4 )
reg = antsRegistration( i1, i2, 'SyN' )
w =  composeTransformsToField( i1, reg$fwd )
bw = basisWarp( list( w, w ), c( 0.25, 0.25 ), 2, 0 )
bwApp = applyAntsrTransformToImage( bw, i2, i1 )
bw = basisWarp( list( w, w ), c( 0.25, 0.25 )*(-1.0), 2, 0 ) # inverse
bwApp = applyAntsrTransformToImage( bw, i1, i2 )

## End(Not run)

ANTsX/ANTsRNet documentation built on Nov. 21, 2024, 4:07 a.m.