ImageRegistrationMethodDisplacement1/ImageRegistrationMethodDisplacement1.py

#!/usr/bin/env python
# =========================================================================
#
#  Copyright NumFOCUS
#
#  Licensed under the Apache License, Version 2.0 (the "License");
#  you may not use this file except in compliance with the License.
#  You may obtain a copy of the License at
#
#         http://www.apache.org/licenses/LICENSE-2.0.txt
#
#  Unless required by applicable law or agreed to in writing, software
#  distributed under the License is distributed on an "AS IS" BASIS,
#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#  See the License for the specific language governing permissions and
#  limitations under the License.
#
# =========================================================================
 
from __future__ import print_function
 
import SimpleITK as sitk
import sys
import os
 
 
def command_iteration(method):
    if (method.GetOptimizerIteration() == 0):
        print("\tLevel: {0}".format(method.GetCurrentLevel()))
        print("\tScales: {0}".format(method.GetOptimizerScales()))
    print("#{0}".format(method.GetOptimizerIteration()))
    print("\tMetric Value: {0:10.5f}".format(method.GetMetricValue()))
    print("\tLearningRate: {0:10.5f}"
          .format(method.GetOptimizerLearningRate()))
    if (method.GetOptimizerConvergenceValue() != sys.float_info.max):
        print("\tConvergence Value: {0:.5e}"
              .format(method.GetOptimizerConvergenceValue()))
 
 
def command_multiresolution_iteration(method):
    print("\tStop Condition: {0}"
          .format(method.GetOptimizerStopConditionDescription()))
    print("============= Resolution Change =============")
 
 
if len(sys.argv) < 4:
    print("Usage:", sys.argv[0], "<fixedImageFilter> <movingImageFile>",
          "<outputTransformFile>")
    sys.exit(1)
 
fixed = sitk.ReadImage(sys.argv[1], sitk.sitkFloat32)
 
moving = sitk.ReadImage(sys.argv[2], sitk.sitkFloat32)
 
initialTx = sitk.CenteredTransformInitializer(fixed, moving,
                                              sitk.AffineTransform(
                                                  fixed.GetDimension()))
 
R = sitk.ImageRegistrationMethod()
 
R.SetShrinkFactorsPerLevel([3, 2, 1])
R.SetSmoothingSigmasPerLevel([2, 1, 1])
 
R.SetMetricAsJointHistogramMutualInformation(20)
R.MetricUseFixedImageGradientFilterOff()
 
R.SetOptimizerAsGradientDescent(learningRate=1.0,
                                numberOfIterations=100,
                                estimateLearningRate=R.EachIteration)
R.SetOptimizerScalesFromPhysicalShift()
 
R.SetInitialTransform(initialTx)
 
R.SetInterpolator(sitk.sitkLinear)
 
R.AddCommand(sitk.sitkIterationEvent, lambda: command_iteration(R))
R.AddCommand(sitk.sitkMultiResolutionIterationEvent,
             lambda: command_multiresolution_iteration(R))
 
outTx1 = R.Execute(fixed, moving)
 
print("-------")
print(outTx1)
print("Optimizer stop condition: {0}"
      .format(R.GetOptimizerStopConditionDescription()))
print(" Iteration: {0}".format(R.GetOptimizerIteration()))
print(" Metric value: {0}".format(R.GetMetricValue()))
 
displacementField = sitk.Image(fixed.GetSize(), sitk.sitkVectorFloat64)
displacementField.CopyInformation(fixed)
displacementTx = sitk.DisplacementFieldTransform(displacementField)
del displacementField
displacementTx.SetSmoothingGaussianOnUpdate(varianceForUpdateField=0.0,
                                            varianceForTotalField=1.5)
 
R.SetMovingInitialTransform(outTx1)
R.SetInitialTransform(displacementTx, inPlace=True)
 
R.SetMetricAsANTSNeighborhoodCorrelation(4)
R.MetricUseFixedImageGradientFilterOff()
 
R.SetShrinkFactorsPerLevel([3, 2, 1])
R.SetSmoothingSigmasPerLevel([2, 1, 1])
 
R.SetOptimizerScalesFromPhysicalShift()
R.SetOptimizerAsGradientDescent(learningRate=1,
                                numberOfIterations=300,
                                estimateLearningRate=R.EachIteration)
 
R.Execute(fixed, moving)
 
print("-------")
print(displacementTx)
print("Optimizer stop condition: {0}"
      .format(R.GetOptimizerStopConditionDescription()))
print(" Iteration: {0}".format(R.GetOptimizerIteration()))
print(" Metric value: {0}".format(R.GetMetricValue()))
 
compositeTx = sitk.CompositeTransform([outTx1, displacementTx])
sitk.WriteTransform(compositeTx, sys.argv[3])
 
if ("SITK_NOSHOW" not in os.environ):
    sitk.Show(displacementTx.GetDisplacementField(), "Displacement Field")
 
    resampler = sitk.ResampleImageFilter()
    resampler.SetReferenceImage(fixed)
    resampler.SetInterpolator(sitk.sitkLinear)
    resampler.SetDefaultPixelValue(100)
    resampler.SetTransform(compositeTx)
 
    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, "ImageRegistration1 Composition")