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#=========================================================================
#
# Program: Insight Segmentation & Registration Toolkit
# Module: $RCSfile: ImageRegistration3.py,v $
# Language: C++
# Date: $Date: 2007-11-22 00:30:16 $
# Version: $Revision: 1.8 $
#
# Copyright (c) Insight Software Consortium. All rights reserved.
# See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
#
# This software is distributed WITHOUT ANY WARRANTY; without even
# the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
# PURPOSE. See the above copyright notices for more information.
#
#=========================================================================
from InsightToolkit import *
from sys import argv
#
# Read the fixed and moving images using filenames
# from the command line arguments
#
fixedImageReader = itkImageFileReaderF2_New()
movingImageReader = itkImageFileReaderF2_New()
fixedImageReader.SetFileName( argv[1] )
movingImageReader.SetFileName( argv[2] )
fixedImageReader.Update()
movingImageReader.Update()
fixedImage = fixedImageReader.GetOutput()
movingImage = movingImageReader.GetOutput()
#
# Instantiate the classes for the registration framework
#
registration = itkImageRegistrationMethodF2F2_New()
imageMetric = itkMeanSquaresImageToImageMetricF2F2_New()
transform = itkTranslationTransform2_New()
optimizer = itkRegularStepGradientDescentOptimizer_New()
interpolator = itkLinearInterpolateImageFunctionF2D_New()
registration.SetOptimizer( optimizer.GetPointer() )
registration.SetTransform( transform.GetPointer() )
registration.SetInterpolator( interpolator.GetPointer() )
registration.SetMetric( imageMetric.GetPointer() )
registration.SetFixedImage( fixedImage )
registration.SetMovingImage( movingImage )
registration.SetFixedImageRegion( fixedImage.GetBufferedRegion() )
transform.SetIdentity()
initialParameters = transform.GetParameters()
registration.SetInitialTransformParameters( initialParameters )
#
# Iteration Observer
#
def iterationUpdate():
currentParameter = transform.GetParameters()
print "M: %f P: %f %f " % ( optimizer.GetValue(),
currentParameter.GetElement(0),
currentParameter.GetElement(1) )
iterationCommand = itkPyCommand_New()
iterationCommand.SetCommandCallable( iterationUpdate )
optimizer.AddObserver( itkIterationEvent(), iterationCommand.GetPointer() )
#
# Define optimizer parameters
#
optimizer.SetMaximumStepLength( 4.00 )
optimizer.SetMinimumStepLength( 0.01 )
optimizer.SetNumberOfIterations( 200 )
print "Starting registration"
#
# Start the registration process
#
registration.StartRegistration()
#
# Get the final parameters of the transformation
#
finalParameters = registration.GetLastTransformParameters()
print "Final Registration Parameters "
print "Translation X = %f" % (finalParameters.GetElement(0),)
print "Translation Y = %f" % (finalParameters.GetElement(1),)
#
# Now, we use the final transform for resampling the
# moving image.
#
resampler = itkResampleImageFilterF2F2_New()
resampler.SetTransform( transform.GetPointer() )
resampler.SetInput( movingImage )
region = fixedImage.GetLargestPossibleRegion()
resampler.SetSize( region.GetSize() )
resampler.SetOutputSpacing( fixedImage.GetSpacing() )
resampler.SetOutputOrigin( fixedImage.GetOrigin() )
resampler.SetOutputDirection( fixedImage.GetDirection() )
resampler.SetDefaultPixelValue( 100 )
outputCast = itkRescaleIntensityImageFilterF2US2_New()
outputCast.SetOutputMinimum( 0 )
outputCast.SetOutputMaximum( 65535 )
outputCast.SetInput(resampler.GetOutput())
#
# Write the resampled image
#
writer = itkImageFileWriterUS2_New()
writer.SetFileName( argv[3] )
writer.SetInput( outputCast.GetOutput() )
writer.Update()
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