Image Registration Method 4¶
If you are not familiar with the SimpleITK registration framework we recommend that you read the registration overview before continuing with the example.
Overview¶
Code¶
#!/usr/bin/env python
from __future__ import print_function
import SimpleITK as sitk
import sys
import os
if len ( sys.argv ) < 4:
print( "Usage: {0} <fixedImageFilter> <movingImageFile> <outputTransformFile> <numberOfBins> <samplingPercentage>".format(sys.argv[0]))
sys.exit ( 1 )
def command_iteration(method) :
print("{0:3} = {1:10.5f} : {2}".format(method.GetOptimizerIteration(),
method.GetMetricValue(),
method.GetOptimizerPosition()))
fixed = sitk.ReadImage(sys.argv[1], sitk.sitkFloat32)
moving = sitk.ReadImage(sys.argv[2], sitk.sitkFloat32)
numberOfBins = 24
samplingPercentage = 0.10
if len ( sys.argv ) > 4:
numberOfBins = int(sys.argv[4])
if len ( sys.argv ) > 5:
samplingPercentage = float(sys.argv[5])
R = sitk.ImageRegistrationMethod()
R.SetMetricAsMattesMutualInformation(numberOfBins)
R.SetMetricSamplingPercentage(samplingPercentage,sitk.sitkWallClock)
R.SetMetricSamplingStrategy(R.RANDOM)
R.SetOptimizerAsRegularStepGradientDescent(1.0,.001,200)
R.SetInitialTransform(sitk.TranslationTransform(fixed.GetDimension()))
R.SetInterpolator(sitk.sitkLinear)
R.AddCommand( sitk.sitkIterationEvent, lambda: command_iteration(R) )
outTx = R.Execute(fixed, moving)
print("-------")
print(outTx)
print("Optimizer stop condition: {0}".format(R.GetOptimizerStopConditionDescription()))
print(" Iteration: {0}".format(R.GetOptimizerIteration()))
print(" Metric value: {0}".format(R.GetMetricValue()))
sitk.WriteTransform(outTx, sys.argv[3])
if ( not "SITK_NOSHOW" in os.environ ):
resampler = sitk.ResampleImageFilter()
resampler.SetReferenceImage(fixed);
resampler.SetInterpolator(sitk.sitkLinear)
resampler.SetDefaultPixelValue(100)
resampler.SetTransform(outTx)
out = resampler.Execute(moving)
simg1 = sitk.Cast(sitk.RescaleIntensity(fixed), sitk.sitkUInt8)
simg2 = sitk.Cast(sitk.RescaleIntensity(out), sitk.sitkUInt8)
cimg = sitk.Compose(simg1, simg2, simg1//2.+simg2//2.)
sitk.Show( cimg, "ImageRegistration4 Composition" )
# Run with:
#
# Rscript --vanilla ImageRegistrationMethod4.R fixedImageFilter movingImageFile outputTransformFile numberOfBins samplingPercentage
#
library(SimpleITK)
commandIteration <- function(method)
{
msg <- paste(method$GetOptimizerIteration(), "=",
method$GetMetricValue(), ":",
method$GetOptimizerPosition(), "\n" )
cat(msg)
}
args <- commandArgs( TRUE )
if (length(args) < 3) {
stop("3, 4, or 5 arguments expected - fixedImageFilter, movingImageFile, outputTransformFile [numberOfBins] [samplingPercentage]")
}
fixed <- ReadImage(args[[1]], 'sitkFloat32')
moving <- ReadImage(args[[2]], 'sitkFloat32')
numberOfBins <- 24
samplingPercentage <- 0.10
if (length(args) > 4) {
numberOfBins <- strtoi(args[[4]])
}
if (length(args) > 5) {
samplingPercentage <- as.numeric(args[[5]])
}
R <- ImageRegistrationMethod()
R$SetMetricAsMattesMutualInformation(numberOfBins)
R$SetMetricSamplingPercentage(samplingPercentage)
R$SetMetricSamplingStrategy('RANDOM')
R$SetOptimizerAsRegularStepGradientDescent(1.0,.001,200)
R$SetInitialTransform(TranslationTransform(fixed$GetDimension()))
R$SetInterpolator('sitkLinear')
R$AddCommand( 'sitkIterationEvent', function() commandIteration(R) )
outTx <- R$Execute(fixed, moving)
cat("-------\n")
outTx
cat("Optimizer stop condition:", R$GetOptimizerStopConditionDescription(), '\n')
cat("Iteration:", R$GetOptimizerIteration(), '\n')
cat("Metric value:", R$GetMetricValue(), '\n')
WriteTransform(outTx, args[[3]])