[ITK] [ITK-users] itk::BinaryThinningImageFilter3D

[Francisco Lopez de la Franca]

Hi,
I've used this filter with 3D MRI images with more resolution that
daoud23's, and my results were correct. I used 3D Slicer to visualize the
3D images and the result were interesting.
I hope this helps.
Regards.

2015-11-11 13:45 GMT+01:00 Matt McCormick <matt.mccormick at kitware.com>:

> Hello,
>
> From the screenshot, it is unclear whether the thinning worked or not
> -- it would be better to visualize in 3D instead of 2D planes.
>
> HTH,
> Matt
>
> On Wed, Nov 11, 2015 at 3:33 AM, Daoued23 <mlt.khawla at gmail.com> wrote:
> > Hello everyone,
> >
> > I want to get an Hybrid Skeleton. So I started by testing itk's filter
> > "itk::BinaryThinningImageFilter3D" to obtain the curve skeleton, but it
> > doesn't seem to work. Here is my code.
> >
> > #include "itkImage.h"
> > #include "itkImageFileReader.h"
> > #include "itkImageFileWriter.h"
> >
> > #include "itkConnectedThresholdImageFilter.h"
> > #include "itkImageRegionIterator.h"
> > #include "itkBinaryThinningImageFilter3D.h"
> >
> > #include <iostream>
> > #include <stdlib.h>
> > using namespace std;
> >
> > int main(int argc, char* argv[])
> > {
> >   // Verify the number of parameters in the command line
> >   if( argc <= 2 )
> >   {
> >     std::cerr << "Usage: " << std::endl;
> >     std::cerr << argv[0] << " inputImageFile outputImageFile" <<
> std::endl;
> >     return EXIT_FAILURE;
> >   }
> >   char* infilename  = argv[1];
> >   char* outfilename = argv[2];
> >
> >   const   unsigned int Dimension = 3;
> >   typedef signed short PixelType;
> >   typedef itk::Image< PixelType, Dimension > ImageType;
> >
> >   // Read image
> >   typedef itk::ImageFileReader< ImageType > ReaderType;
> >   ReaderType::Pointer reader = ReaderType::New();
> >   reader->SetFileName( infilename );
> >   try
> >   {
> >     reader->Update();
> >   }
> >   catch (itk::ExceptionObject &ex)
> >   {
> >     std::cout << ex << std::endl;
> >     return EXIT_FAILURE;
> >   }
> >   cout << infilename << " sucessfully read." << endl;
> >
> >   // Define the thinning filter
> >   typedef itk::BinaryThinningImageFilter3D< ImageType, ImageType >
> > ThinningFilterType;
> >   ThinningFilterType::Pointer thinningFilter = ThinningFilterType::New();
> >   thinningFilter->SetInput( reader->GetOutput() );
> >   thinningFilter->Update();
> >
> >   // output to file
> >   typedef itk::ImageFileWriter< ImageType > WriterType;
> >   WriterType::Pointer writer = WriterType::New();
> >   writer->SetInput( thinningFilter->GetOutput() );
> >   writer->SetFileName( outfilename );
> >
> >   try
> >   {
> >     writer->Update();
> >   }
> >   catch (itk::ExceptionObject &ex)
> >   {
> >     std::cout << ex << std::endl;
> >     return EXIT_FAILURE;
> >   }
> >   cout << outfilename << " sucessfully written." << endl;
> >
> >   cout << "Program terminated normally." << endl;
> >   return EXIT_SUCCESS;
> > }
> >
> >
> > And here is the volume I get in return, the initial volume is a region of
> > trabecular bone of size 30x30x30 voxels.
> > <http://itk-users.7.n7.nabble.com/file/n36449/thinningitk.png>
> >
> >
> >
> > --
> > View this message in context:
> http://itk-users.7.n7.nabble.com/itk-BinaryThinningImageFilter3D-tp36449.html
> > Sent from the ITK - Users mailing list archive at Nabble.com.
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