//--------------------------------------------------------------------
template <class InputImageType, class OutputImageType>
clitk::ResampleImageWithOptionsFilter<InputImageType, OutputImageType>::
-ResampleImageWithOptionsFilter():itk::ImageToImageFilter<InputImageType, OutputImageType>()
+ResampleImageWithOptionsFilter():itk::ImageToImageFilter<InputImageType, OutputImageType>()
{
static const unsigned int dim = InputImageType::ImageDimension;
this->SetNumberOfRequiredInputs(1);
m_OutputSpacing[i] = -1;
m_GaussianSigma[i] = -1;
}
+ m_OutputOrigin.Fill(0);
+ m_OutputDirection.SetIdentity();
m_VerboseOptions = false;
SetDefaultPixelValue(0);
}
template <class InputImageType, class OutputImageType>
void
clitk::ResampleImageWithOptionsFilter<InputImageType, OutputImageType>::
-SetInput(const InputImageType * image)
+SetInput(const InputImageType * image)
{
// Process object is not const-correct so the const casting is required.
this->SetNthInput(0, const_cast<InputImageType *>(image));
template <class InputImageType, class OutputImageType>
void
clitk::ResampleImageWithOptionsFilter<InputImageType, OutputImageType>::
-GenerateInputRequestedRegion()
+GenerateInputRequestedRegion()
{
// call the superclass's implementation of this method
Superclass::GenerateInputRequestedRegion();
template <class InputImageType, class OutputImageType>
void
clitk::ResampleImageWithOptionsFilter<InputImageType, OutputImageType>::
-GenerateOutputInformation()
+GenerateOutputInformation()
{
static const unsigned int dim = InputImageType::ImageDimension;
if (m_OutputIsoSpacing != -1) { // apply isoSpacing
for(unsigned int i=0; i<dim; i++) {
m_OutputSpacing[i] = m_OutputIsoSpacing;
- // floor() is used to intentionally reduce the number of slices
- // because, from a clinical point of view, it's better to
+ // floor() is used to intentionally reduce the number of slices
+ // because, from a clinical point of view, it's better to
// remove data than to add data that privously didn't exist.
if(inputSpacing[i]*m_OutputSpacing[i]<0)
- itkExceptionMacro( << "Input and output spacings don't have the same size, can't cope with that" );
+ itkExceptionMacro( << "Input and output spacings don't have the same signs, can't cope with that" );
m_OutputSize[i] = (int)floor(inputSize[i]*inputSpacing[i]/m_OutputSpacing[i]);
}
- } else {
+ }
+ else if(m_OutputSpacing[0]==-1 || m_OutputSize[0]==0){
if (m_OutputSpacing[0] != -1) { // apply spacing, compute size
for(unsigned int i=0; i<dim; i++) {
- if(inputSpacing[i]*m_OutputSpacing[i]<0)
- itkExceptionMacro( << "Input and output spacings don't have the same size, can't cope with that" );
- // see comment above for the use of floor()
- m_OutputSize[i] = (int)floor(inputSize[i]*inputSpacing[i]/m_OutputSpacing[i]);
+ if(inputSpacing[i]*m_OutputSpacing[i]<0) {
+ itkExceptionMacro( << "Input and output spacings don't have the same signs, can't cope with that" );
+ }
+ // see comment above for the use of floor()
+ m_OutputSize[i] = (int)floor(inputSize[i]*inputSpacing[i]/m_OutputSpacing[i]);
}
- } else {
+ }
+ else {
if (m_OutputSize[0] != 0) { // apply size, compute spacing
for(unsigned int i=0; i<dim; i++) {
m_OutputSpacing[i] = (double)inputSize[i]*inputSpacing[i]/(double)m_OutputSize[i];
}
- } else { // copy input size/spacing ... (no resampling)
+ }
+ else { // copy input size/spacing ... (no resampling)
m_OutputSize = inputSize;
m_OutputSpacing = inputSpacing;
}
//--------------------------------------------------------------------
template <class InputImageType, class OutputImageType>
-void
+void
clitk::ResampleImageWithOptionsFilter<InputImageType, OutputImageType>::
-GenerateData()
+GenerateData()
{
-
+
// Get input pointer
InputImagePointer input = dynamic_cast<InputImageType*>(itk::ProcessObject::GetInput(0));
static const unsigned int dim = InputImageType::ImageDimension;
case B_LUT: std::cout << "B-LUT " << m_BSplineOrder << " " << m_BLUTSamplingFactor << std::endl; break;
case WSINC: std::cout << "Windowed Sinc" << std::endl; break;
}
+#if ITK_VERSION_MAJOR <= 4
std::cout << "Threads = " << this->GetNumberOfThreads() << std::endl;
+#else
+ std::cout << "Threads = " << this->GetNumberOfWorkUnits() << std::endl;
+#endif
std::cout << "LastDimIsTime = " << m_LastDimensionIsTime << std::endl;
}
+ // Compute origin based on image corner
+ for(unsigned int i=0; i<OutputImageType::ImageDimension; i++) {
+ m_OutputOrigin[i] -= 0.5 * input->GetSpacing()[i];
+ m_OutputOrigin[i] += 0.5 * m_OutputSpacing[i];
+ }
+
// Instance of the transform object to be passed to the resample
// filter. By default, identity transform is applied
filter->SetTransform(m_Transform);
filter->SetSize(m_OutputSize);
filter->SetOutputSpacing(m_OutputSpacing);
- filter->SetOutputOrigin(input->GetOrigin());
+ filter->SetOutputOrigin(m_OutputOrigin);
filter->SetDefaultPixelValue(m_DefaultPixelValue);
- filter->SetNumberOfThreads(this->GetNumberOfThreads());
- filter->SetOutputDirection(input->GetDirection()); // <-- NEEDED if we want to keep orientation (in case of PermutAxes for example)
+#if ITK_VERSION_MAJOR <= 4
+ filter->SetNumberOfThreads(this->GetNumberOfThreads());
+#else
+ filter->SetNumberOfWorkUnits(this->GetNumberOfWorkUnits());
+#endif
+ filter->SetOutputDirection(m_OutputDirection); // <-- NEEDED if we want to keep orientation (in case of PermutAxes for example)
// Select interpolator
switch (m_InterpolationType) {
filter->Update();
// Set output
- // DD("before Graft");
-
- //this->GraftOutput(filter->GetOutput());
- this->SetNthOutput(0, filter->GetOutput());
-
- // DD("after Graft");
+ this->GraftOutput(filter->GetOutput());
}
//--------------------------------------------------------------------
//--------------------------------------------------------------------
template<class InputImageType>
-typename InputImageType::Pointer
-clitk::ResampleImageSpacing(typename InputImageType::Pointer input,
- typename InputImageType::SpacingType spacing,
+typename InputImageType::Pointer
+clitk::ResampleImageSpacing(typename InputImageType::Pointer input,
+ typename InputImageType::SpacingType spacing,
int interpolationType)
{
typedef clitk::ResampleImageWithOptionsFilter<InputImageType> ResampleFilterType;