simulateBiasField: Simulate random bias field

In ANTsX/ANTsRNet: Neural Networks for Medical Image Processing

Simulate random bias field

Description

Low frequency, spatial varying simulated random bias field using random points and B-spline fitting.

Usage

simulateBiasField(
  domainImage,
  numberOfPoints = 10,
  sdBiasField = 1,
  numberOfFittingLevels = 4,
  meshSize = 1
)

Arguments

domainImage	image to define the spatial domain of the bias field.
numberOfPoints	number of randomly defined points to define the bias field (default = 10).
sdBiasField	characterize the standard deviation of the amplitude (default = 1).
numberOfFittingLevels	B-spline fitting parameter.
meshSize	B-spline fitting parameter (scalar or vector of size image dimension).

Value

simulated bias field

Author(s)

Tustison NJ

Examples

library( ANTsR )
image <- antsImageRead( getANTsRData( "r16" ) )
logField <- simulateBiasField(image, numberOfPoints = 10, sdBiasField = 1.0,
   numberOfFittingLevels = 2, meshSize = 10 ) %>% iMath( "Normalize" )
logField <- ( exp( logField ) )^4
image <- image * logField
rm(image); gc()
rm(logField); gc()

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