ITK 重采样 resample

Itk 重新采样有二多种情况，这里说二种情况

1. 输入参数，和输出相关数据，输出范围，spacing ；

	typedef itk::Image< float, 3 > itkFloatImageType;typedef itk::ResampleImageFilter < itkFloatImageType, itkFloatImageType > ResampleImageFilter;ResampleImageFilter::Pointer resampleImageFilter = ResampleImageFilter::New();typedef itk::LinearInterpolateImageFunction<itkFloatImageType, double> T_Interpolator;itkFloatImageType::Pointer itkImage;mitk::CastToItkImage(inputImage, itkImage);itkFloatImageType::Pointer itkImageOut;mitk::CastToItkImage(segmentationA, itkImageOut);itkFloatImageType::SpacingType outputSpacingItk = itkImageOut->GetSpacing();itkFloatImageType::SizeType outputSizeItk = itkImageOut->GetLargestPossibleRegion().GetSize();typedef itk::IdentityTransform<double, 3> TransformType;T_Interpolator::Pointer _pInterpolator = T_Interpolator::New();resampleImageFilter->SetInput(itkImage);resampleImageFilter->SetTransform(TransformType::New());resampleImageFilter->SetInterpolator(_pInterpolator);resampleImageFilter->SetReferenceImage(itkImageOut);resampleImageFilter->UseReferenceImageOn();//resampleImageFilter->UpdateLargestPossibleRegion();resampleImageFilter->Update();

注意输入是 float

其它类型转 to float

vtkImageData *  ToFloatScaleValue(vtkImageData * VtkImageData)
{ThresholdingvtkSmartPointer<vtkImageThreshold> imageThreshold = vtkSmartPointer<vtkImageThreshold>::New();imageThreshold->SetInputData(VtkImageData);imageThreshold->SetOutputScalarTypeToFloat();imageThreshold->ThresholdByLower(0.2); // range is inclusive but always in double. Precision issue.imageThreshold->SetOutValue(255);imageThreshold->SetInValue(0);imageThreshold->ReleaseDataFlagOn();imageThreshold->UpdateInformation();imageThreshold->Update();return imageThreshold->GetOutput();}

2. 输入参数 ,输入数据，和输出相关数据， spacing ；需要自己求出 bounds 输出范围

 typedef itk::ResampleImageFilter < itkFloatImageType, itkFloatImageType > ResampleImageFilter;ResampleImageFilter::Pointer resampleImageFilter = ResampleImageFilter::New();itkFloatImageType::Pointer itkImage;mitk::CastToItkImage(out, itkImage);itkFloatImageType::SpacingType outputSpacing;itkFloatImageType::SizeType inputSize = itkImage->GetLargestPossibleRegion().GetSize();itkFloatImageType::SizeType outputSize = inputSize;outputSpacing[0] = itkImage->GetSpacing()[0];outputSpacing[1] = resampleSpacing;outputSpacing[2] = itkImage->GetSpacing()[2];outputSize[1] = inputSize[1] * itkImage->GetSpacing()[1] / outputSpacing[1];typedef itk::IdentityTransform<double, 3> TransformType;resampleImageFilter->SetInput(itkImage);resampleImageFilter->SetSize(outputSize);resampleImageFilter->SetOutputSpacing(outputSpacing);resampleImageFilter->SetTransform(TransformType::New());resampleImageFilter->UpdateLargestPossibleRegion();