Insight Segmentation and Registration Toolkit

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ITK
Basic data

developer National Library of Medicine , Kitware Inc. and various universities
Current  version 5.1.1
operating system Unix derivatives ( Linux , macOS ), Windows
programming language C , C ++ , Python
category Image processing
License Apache 2.0 license
German speaking No
www.itk.org

The Insight Segmentation and Registration Toolkit (ITK) is an open-source - C ++ - program library for segmentation and registration of images.

General

The development of ITK was started in 1999 by the National Library of Medicine in order to create open class libraries and interfaces for the evaluation of the Visible Human Project . Typical areas of application for ITC are e.g. B. the processing of medical data from computed tomography and magnetic resonance tomography . CMake , which was specially developed for ITK, is used as the build system .

Examples

Smoothing using a Gaussian filter 

#include <itkImage.h>
#include <itkImageFileReader.h>
#include <itkImageFileWriter.h>
#include <itkDiscreteGaussianImageFilter.h>

int main(int argc, char *argv[])
{
    typedef itk::Image<unsigned char, 2> ImageType;
    typedef itk::ImageFileReader<ImageType> ReaderType;
    typedef itk::ImageFileWriter<ImageType> WriterType;
    typedef itk::DiscreteGaussianImageFilter<ImageType, ImageType> GaussianFilterType;

    ReaderType::Pointer reader = ReaderType::New();
    reader->SetFileName("test.jpg");

    GaussianFilterType::Pointer smoothFilter = GaussianFilterType::New();
    smoothFilter->SetInput(reader->GetOutput());
    smoothFilter->SetVariance(3);

    WriterType::Pointer writer = WriterType::New();
    writer->SetInput(smoothFilter->GetOutput());
    writer->SetFileName("smoothImage.png");

    try
    {
      writer->Update();
    }
    catch( itk::ExceptionObject & excp )
    {
      std::cerr << excp << std::endl;
      return EXIT_FAILURE;
    }

	return EXIT_SUCCESS;
}

Region Growing Segmentation

#include <itkImage.h>
#include <itkImageFileReader.h>
#include <itkImageFileWriter.h>
#include <itkConnectedThresholdImageFilter.h>

int main(int argc, char *argv[])
{
    typedef itk::Image<unsigned char, 3> ImageType;
    typedef itk::ImageFileReader<ImageType> ReaderType;
    typedef itk::ImageFileWriter<ImageType> WriterType;
    typedef itk::ConnectedThresholdImageFilter<ImageType, ImageType> RegionFilterType;

    ReaderType::Pointer reader = ReaderType::New();
    reader->SetFileName("test.nii");

    ImageType::IndexType seed;
    seed[0] = 142;
    seed[1] =  97;
    seed[2] =  63;

    RegionFilterType::Pointer regionFilter = RegionFilterType::New();
    regionFilter->SetInput(reader->GetOutput());
    regionFilter->SetSeed(seed);

    WriterType::Pointer writer = WriterType::New();
    writer->SetInput(regionFilter->GetOutput());
    writer->SetFileName("region.nii");

    try
    {
      writer->Update();
    }
    catch( itk::ExceptionObject & excp )
    {
      std::cerr << excp << std::endl;
      return EXIT_FAILURE;
    }

	return EXIT_SUCCESS;
}

See also

Web links

Individual evidence

  1. ↑ v5.1.1. Accessed August 26, 2020 (English).
  2. ^ Insight Software Consortium / ITK - GitHub. Retrieved June 10, 2020 .
  3. ↑ License. Retrieved June 10, 2020 .
  4. ^ History. Retrieved June 10, 2020 .
  5. ↑ Overview. Retrieved June 10, 2020 .