[ITK-users] SimpleITK | Registration in C#

[Matias Montroull]

Hi, I have this code so far for doing registration with SimpleITK. I've run
it and seems to work ok but the offset and matrix doesn't change so I think
I'm missing the command part which I haven't been able to figure out.. I
marked in bold what I think needs further code, unfortunately I haven't
found any example in C#, all is in Pyton or C++, I was able to kind of
translate to C# and figure out but the Command part is a struggle for me so
far..

  itk.simple.Image Imagen_fija = new itk.simple.Image();
            itk.simple.Image Imagen_flotante = new itk.simple.Image();

            ImageSeriesReader reader_fija = new ImageSeriesReader();
            var archivosdcm_fija =
ImageSeriesReader.GetGDCMSeriesFileNames(@"C:\TRACKER\Pacientes\ST1_CT\DCM");
            reader_fija.SetFileNames(archivosdcm_fija);
            Imagen_fija = reader_fija.Execute();

            ImageSeriesReader reader_flotante = new ImageSeriesReader();
            var archivosdcm_flotante =
ImageSeriesReader.GetGDCMSeriesFileNames(@"C:\TRACKER\Pacientes\ST1_RM\DCM");
            reader_flotante.SetFileNames(archivosdcm_flotante);
            Imagen_flotante = reader_flotante.Execute();

            CastImageFilter conversorafloat = new CastImageFilter();

 conversorafloat.SetOutputPixelType(itk.simple.PixelIDValueEnum.sitkFloat32);
            Imagen_fija = conversorafloat.Execute(Imagen_fija);
            Imagen_flotante = conversorafloat.Execute(Imagen_flotante);

            ImageRegistrationMethod R = new ImageRegistrationMethod();
            R.SetMetricAsMattesMutualInformation(50); //numberof
histogrambins
            R.SetMetricSamplingPercentage(3.0); //Sampling %
            R.SetOptimizerAsRegularStepGradientDescent(16.0, 0.1, 100,
0.99); //max step, min step, iteraciones, relaxation
            R.SetInterpolator(InterpolatorEnum.sitkLinear);

            AffineTransform transform = new AffineTransform(3);
            itk.simple.Transform Initial_transform =
SimpleITK.CenteredTransformInitializer(Imagen_fija, Imagen_flotante,
transform, CenteredTransformInitializerFilter.OperationModeType.GEOMETRY);
            R.SetInitialTransform(Initial_transform);
            ResampleImageFilter resampler_fija = new ResampleImageFilter();
            resampler_fija.SetReferenceImage(Imagen_fija);
            resampler_fija.SetTransform(Initial_transform);
            resampler_fija.SetInterpolator(InterpolatorEnum.sitkLinear);
            Imagen_fija= resampler_fija.Execute(Imagen_fija);

            ResampleImageFilter resampler_flotante = new
ResampleImageFilter();
            resampler_flotante.SetReferenceImage(Imagen_flotante);
            resampler_flotante.SetTransform(Initial_transform);
            resampler_flotante.SetInterpolator(InterpolatorEnum.sitkLinear);
            Imagen_flotante = resampler_flotante.Execute(Imagen_flotante);
*            itk.simple.Command cmd = new Command();*
*            R.AddCommand(EventEnum.sitkIterationEvent, cmd);*

            itk.simple.Transform transform_final = R.Execute(Imagen_fija,
Imagen_flotante);
            double metrica = R.GetMetricValue();
-- 
Matias
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