static void optimizer_Iteration(itkObject sender, itkEventArgs e)
{
OptimizerType optimizer = sender as OptimizerType;
String message = "{0}: {1}";
String iteration = optimizer.CurrentIteration.ToString("000");
String position = optimizer.CurrentPosition.ToString();
Console.WriteLine(String.Format(message, iteration, position));
}
static void Main(string[] args)
{
try
{
// Read the fixed image from the command line
itkImageBase imageFixed = ImageType.New();
imageFixed.Read(args[0]);
// Create a moving image
itkImageBase imageMoving = itkImage.New(imageFixed);
// Create the interpolator
InterpolatorType interpolator = InterpolatorType.New();
// Create the transform
TransformType transform = TransformType.New();
transform.Translate(new itkVector(7.5, 12.0));
Console.WriteLine("START: " + transform.Parameters.ToString());
// Make the moving image by resampling the fixed image
// with known parameters
ResampleType filterResample = ResampleType.New();
filterResample.SetInput(imageFixed);
filterResample.SetInterpolator(interpolator);
filterResample.SetTransform(transform);
filterResample.OutputSize = imageFixed.Size;
filterResample.OutputSpacing = imageFixed.Spacing;
filterResample.Update();
filterResample.GetOutput(imageMoving);
imageMoving.DisconnectPipeline();
imageFixed.DisconnectPipeline();
// Write out the fixed and moving images
imageFixed.Write(AddSuffixToFileName(args[0], "_FIXED"));
imageMoving.Write(AddSuffixToFileName(args[0], "_MOVING"));
// Reset the transform initial parameters
transform.Translate(new itkVector(0.0, 0.0));
// Create metric
MetricType metric = MetricType.New();
// Create optimiser
OptimizerType optimizer = OptimizerType.New();
optimizer.Iteration += new itkEventHandler(optimizer_Iteration);
optimizer.MaximumStepLength = 4.00;
optimizer.MinimumStepLength = 0.01;
optimizer.NumberOfIterations = 200;
// Create registration method
RegistrationType registration = RegistrationType.New();
registration.SetFixedImage(imageFixed);
registration.SetMovingImage(imageMoving);
registration.SetTransform(transform);
registration.SetInterpolator(interpolator);
registration.SetMetric(metric);
registration.SetOptimizer(optimizer);
registration.InitialTransformParameters = transform.Parameters;
registration.StartRegistration();
// Rotate the moving image with the found parameters
filterResample.SetInput(imageMoving);
filterResample.SetInterpolator(interpolator);
filterResample.SetTransform(transform);
filterResample.OutputSize = imageMoving.Size;
filterResample.OutputSpacing = imageMoving.Spacing;
filterResample.Update();
filterResample.GetOutput(imageMoving);
imageMoving.DisconnectPipeline();
// Write out the results
Console.WriteLine("END: " + transform.Parameters.ToString());
imageMoving.Write(AddSuffixToFileName(args[0], "_REGISTERED"));
}
catch (Exception ex)
{
Console.WriteLine(ex.ToString());
}
}
