X-Git-Url: https://git.creatis.insa-lyon.fr/pubgit/?a=blobdiff_plain;f=common%2FvvFromITK.h;h=a51cfe2d7c150caaf78f862b2ee0cda325d3e739;hb=49169efa175f39cb8052cea08186c032835bb2f2;hp=c7178fe3e36c417cb85d37182c6edbea2840a1a0;hpb=f181e8fc01dec00bc6b0c82e0e273e1bb0d292c5;p=clitk.git diff --git a/common/vvFromITK.h b/common/vvFromITK.h index c7178fe..a51cfe2 100644 --- a/common/vvFromITK.h +++ b/common/vvFromITK.h @@ -3,7 +3,7 @@ Authors belong to: - University of LYON http://www.universite-lyon.fr/ - - Léon Bérard cancer center http://oncora1.lyon.fnclcc.fr + - Léon Bérard cancer center http://www.centreleonberard.fr - CREATIS CNRS laboratory http://www.creatis.insa-lyon.fr This software is distributed WITHOUT ANY WARRANTY; without even @@ -14,7 +14,7 @@ - BSD See included LICENSE.txt file - CeCILL-B http://www.cecill.info/licences/Licence_CeCILL-B_V1-en.html -======================================================================-====*/ +===========================================================================**/ #ifndef VVIMAGEFROMITK_H #define VVIMAGEFROMITK_H @@ -28,54 +28,73 @@ /**Converts the itk image to vv, handling the 4D problem * The time_sequence boolean specifies that the image is to be interpreted as a time sequence, * even if its dim is < 4. */ -template vvImage::Pointer vvImageFromITK(typename itk::Image::Pointer input, bool time_sequence=false) + +template +static inline void ReadTimeSequence (vvImage::Pointer& vv_image, typename itk::Image::Pointer input, bool time_sequence=false) { - assert(Dim < 5 && Dim > 0); // We don't handle anything higher than 4-dimensional (for the moment :-p) + typedef itk::Image< PixelType, Dim > InputImageType; + typedef itk::Image< PixelType, Dim - 1 > ItkImageType; + typedef itk::ExtractImageFilter FilterType; + + //extract the 3D slices and put them in a std::vector + input->UpdateOutputInformation(); + typename InputImageType::RegionType inputRegion = input->GetLargestPossibleRegion(); + typename InputImageType::SizeType inputSize = inputRegion.GetSize(); + typename InputImageType::IndexType start = inputRegion.GetIndex(); + typename InputImageType::SizeType extractedRegionSize = inputSize; + typename InputImageType::RegionType extractedRegion; + extractedRegionSize[Dim - 1] = 0; + extractedRegion.SetSize(extractedRegionSize); + + for (unsigned int i = 0; i < inputSize[Dim - 1]; i++) { + start[Dim - 1] = i; + extractedRegion.SetIndex(start); + + typename FilterType::Pointer filter = FilterType::New(); + filter->SetDirectionCollapseToSubmatrix(); + filter->SetExtractionRegion(extractedRegion); + filter->SetInput(input); + filter->ReleaseDataFlagOn(); + vv_image->AddItkImage(filter->GetOutput()); + vv_image->ComputeScalarRangeBase(filter->GetOutput()); + } + vv_image->SetTimeSpacing(input->GetSpacing()[Dim-1]); + vv_image->SetTimeOrigin(input->GetOrigin()[Dim-1]); +} + +template +struct vvImageFromITK_Impl +{ + static vvImage::Pointer Do (typename itk::Image::Pointer input, bool time_sequence=false) + { vvImage::Pointer vv_image=vvImage::New(); - vv_image->Init(); //Delete any existing images typedef itk::Image< PixelType, Dim > InputImageType; - if (Dim == 4 || time_sequence) //The time sequence case: create a series of VTK images - { - typedef itk::Image< PixelType, Dim - 1 > ItkImageType; - typedef itk::ExtractImageFilter FilterType; - - //extract the 3D slices and put them in a std::vector - typename InputImageType::RegionType inputRegion = input->GetLargestPossibleRegion(); - typename InputImageType::SizeType inputSize = inputRegion.GetSize(); - typename InputImageType::IndexType start = inputRegion.GetIndex(); - typename InputImageType::SizeType extractedRegionSize = inputSize; - typename InputImageType::RegionType extractedRegion; - extractedRegionSize[Dim - 1] = 0; - extractedRegion.SetSize(extractedRegionSize); - - for (unsigned int i = 0; i < inputSize[Dim - 1]; i++) { - start[Dim - 1] = i; - extractedRegion.SetIndex(start); - - typename FilterType::Pointer filter = FilterType::New(); - filter->SetExtractionRegion(extractedRegion); - filter->SetInput(input); - filter->ReleaseDataFlagOn(); - - try { - filter->Update(); - } - catch ( itk::ExceptionObject & err ) { - std::cerr << "Error while setting vvImage from ITK (Dim==4) [Extract phase]" - << " " << err << std::endl; - return vv_image; - } - vv_image->AddItkImage(filter->GetOutput()); - } - vv_image->SetTimeSpacing(input->GetSpacing()[Dim-1]); - vv_image->SetTimeOrigin(input->GetOrigin()[Dim-1]); - } - else //Dim == 1,2,3 and not time_sequence - { - vv_image->AddItkImage(input); + if (time_sequence) //The time sequence case: create a series of VTK images + ReadTimeSequence(vv_image, input, time_sequence); + else { //Dim == 1,2,3 and not time_sequence + vv_image->AddItkImage(input); + vv_image->ComputeScalarRangeBase(input); } return vv_image; + } +}; + +template +struct vvImageFromITK_Impl<4u, PixelType> +{ + static vvImage::Pointer Do (typename itk::Image::Pointer input, bool time_sequence=false) + { + vvImage::Pointer vv_image = vvImage::New(); + ReadTimeSequence<4u,PixelType>(vv_image, input, time_sequence); + return vv_image; + } +}; + +template vvImage::Pointer vvImageFromITK(typename itk::Image::Pointer input, bool time_sequence=false) +{ + assert(Dim < 5 && Dim > 0); // We don't handle anything higher than 4-dimensional (for the moment :-p) + return vvImageFromITK_Impl::Do(input, time_sequence); } //------------------------------------------------------------------------------