diff --git a/Modules/Classification/CLUtilities/test/files.cmake b/Modules/Classification/CLUtilities/test/files.cmake index 9445649f74..e9b749dca5 100644 --- a/Modules/Classification/CLUtilities/test/files.cmake +++ b/Modules/Classification/CLUtilities/test/files.cmake @@ -1,9 +1,10 @@ set(MODULE_TESTS #mitkSmoothedClassProbabilitesTest.cpp mitkGIFCurvatureStatisticTest mitkGIFFirstOrderHistogramStatisticsTest mitkGIFImageDescriptionFeaturesTest mitkGIFLocalIntensityTest mitkGIFVolumetricDensityStatisticsTest + mitkGIFVolumetricStatisticsTest #mitkGlobalFeaturesTest.cpp ) diff --git a/Modules/Classification/CLUtilities/test/mitkGIFVolumetricStatisticsTest.cpp b/Modules/Classification/CLUtilities/test/mitkGIFVolumetricStatisticsTest.cpp new file mode 100644 index 0000000000..ccf9e2f48b --- /dev/null +++ b/Modules/Classification/CLUtilities/test/mitkGIFVolumetricStatisticsTest.cpp @@ -0,0 +1,122 @@ +/*=================================================================== + +The Medical Imaging Interaction Toolkit (MITK) + +Copyright (c) German Cancer Research Center, +Division of Medical and Biological Informatics. +All rights reserved. + +This software is distributed WITHOUT ANY WARRANTY; without +even the implied warranty of MERCHANTABILITY or FITNESS FOR +A PARTICULAR PURPOSE. + +See LICENSE.txt or http://www.mitk.org for details. + +===================================================================*/ + +#include +#include +#include "mitkIOUtil.h" +#include + +#include + +class mitkGIFCurvatureStatisticTestSuite : public mitk::TestFixture +{ + CPPUNIT_TEST_SUITE(mitkGIFCurvatureStatisticTestSuite); + + MITK_TEST(ImageDescription_PhantomTest); + + CPPUNIT_TEST_SUITE_END(); + +private: + mitk::Image::Pointer m_IBSI_Phantom_Image_Small; + mitk::Image::Pointer m_IBSI_Phantom_Image_Large; + mitk::Image::Pointer m_IBSI_Phantom_Mask_Small; + mitk::Image::Pointer m_IBSI_Phantom_Mask_Large; + +public: + + void setUp(void) override + { + m_IBSI_Phantom_Image_Small = mitk::IOUtil::LoadImage(GetTestDataFilePath("Radiomics/IBSI_Phantom_Image_Small.nrrd")); + m_IBSI_Phantom_Image_Large = mitk::IOUtil::LoadImage(GetTestDataFilePath("Radiomics/IBSI_Phantom_Image_Large.nrrd")); + m_IBSI_Phantom_Mask_Small = mitk::IOUtil::LoadImage(GetTestDataFilePath("Radiomics/IBSI_Phantom_Mask_Small.nrrd")); + m_IBSI_Phantom_Mask_Large = mitk::IOUtil::LoadImage(GetTestDataFilePath("Radiomics/IBSI_Phantom_Mask_Large.nrrd")); + } + + void ImageDescription_PhantomTest() + { + mitk::GIFCurvatureStatistic::Pointer featureCalculator = mitk::GIFCurvatureStatistic::New(); + + featureCalculator->SetUseBinsize(true); + featureCalculator->SetBinsize(1.0); + featureCalculator->SetUseMinimumIntensity(true); + featureCalculator->SetUseMaximumIntensity(true); + featureCalculator->SetMinimumIntensity(0.5); + featureCalculator->SetMaximumIntensity(6.5); + + auto featureList = featureCalculator->CalculateFeatures(m_IBSI_Phantom_Image_Large, m_IBSI_Phantom_Mask_Large); + + std::map results; + for (auto valuePair : featureList) + { + MITK_INFO << valuePair.first << " : " << valuePair.second; + results[valuePair.first] = valuePair.second; + } + CPPUNIT_ASSERT_EQUAL_MESSAGE("Image Diagnostics should calculate 44 features.", std::size_t(44), featureList.size()); + + // These values are obtained by a run of the filter. + // The might be wrong! + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Minimum Mean Curvature with Large IBSI Phantom Image", -1.51, results["Curvature Feature::Minimum Mean Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Maximum Mean Curvature with Large IBSI Phantom Image", 0.51, results["Curvature Feature::Maximum Mean Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Mean Mean Curvature with Large IBSI Phantom Image", 0.095, results["Curvature Feature::Mean Mean Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Standard Deviation Mean Curvature with Large IBSI Phantom Image", 0.45, results["Curvature Feature::Standard Deviation Mean Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Skewness Mean Curvature with Large IBSI Phantom Image", -2.55, results["Curvature Feature::Skewness Mean Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Mean Positive Mean Curvature with Large IBSI Phantom Image", 0.30, results["Curvature Feature::Mean Positive Mean Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Standard Deviation Positive Mean Curvature with Large IBSI Phantom Image", 0.12, results["Curvature Feature::Standard Deviation Positive Mean Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Skewness Positive Mean Curvature with Large IBSI Phantom Image", 0.60, results["Curvature Feature::Skewness Positive Mean Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Mean Negative Mean Curvature with Large IBSI Phantom Image", -0.955, results["Curvature Feature::Mean Negative Mean Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Standard Deviation Negative Mean Curvature with Large IBSI Phantom Image", 0.56, results["Curvature Feature::Standard Deviation Negative Mean Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Skewness Negative Mean Curvature with Large IBSI Phantom Image", 0.09, results["Curvature Feature::Skewness Negative Mean Curvature"], 0.01); + + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Minimum Gaussian Curvature with Large IBSI Phantom Image", -0.211, results["Curvature Feature::Minimum Gaussian Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Maximum Gaussian Curvature with Large IBSI Phantom Image", 1.81, results["Curvature Feature::Maximum Gaussian Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Mean Gaussian Curvature with Large IBSI Phantom Image", 0.14, results["Curvature Feature::Mean Gaussian Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Standard Deviation Gaussian Curvature with Large IBSI Phantom Image", 0.42, results["Curvature Feature::Standard Deviation Gaussian Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Skewness Gaussian Curvature with Large IBSI Phantom Image", 3.51, results["Curvature Feature::Skewness Gaussian Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Mean Positive Gaussian Curvature with Large IBSI Phantom Image", 0.26, results["Curvature Feature::Mean Positive Gaussian Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Standard Deviation Positive Gaussian Curvature with Large IBSI Phantom Image", 0.53, results["Curvature Feature::Standard Deviation Positive Gaussian Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Skewness Positive Gaussian Curvature with Large IBSI Phantom Image", 2.52, results["Curvature Feature::Skewness Positive Gaussian Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Mean Negative Gaussian Curvature with Large IBSI Phantom Image", -0.03, results["Curvature Feature::Mean Negative Gaussian Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Standard Deviation Negative Gaussian Curvature with Large IBSI Phantom Image", 0.055, results["Curvature Feature::Standard Deviation Negative Gaussian Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Skewness Negative Gaussian Curvature with Large IBSI Phantom Image", -1.92, results["Curvature Feature::Skewness Negative Gaussian Curvature"], 0.01); + + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Minimum Minimum Curvature with Large IBSI Phantom Image", -2.19, results["Curvature Feature::Minimum Minimum Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Maximum Minimum Curvature with Large IBSI Phantom Image", 0.35, results["Curvature Feature::Maximum Minimum Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Mean Minimum Curvature with Large IBSI Phantom Image", -0.11, results["Curvature Feature::Mean Minimum Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Standard Deviation Minimum Curvature with Large IBSI Phantom Image", 0.573, results["Curvature Feature::Standard Deviation Minimum Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Skewness Minimum Curvature with Large IBSI Phantom Image", -2.742, results["Curvature Feature::Skewness Minimum Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Mean Positive Minimum Curvature with Large IBSI Phantom Image", 0.161, results["Curvature Feature::Mean Positive Minimum Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Standard Deviation Positive Minimum Curvature with Large IBSI Phantom Image", 0.165, results["Curvature Feature::Standard Deviation Positive Minimum Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Skewness Positive Minimum Curvature with Large IBSI Phantom Image", 0.108, results["Curvature Feature::Skewness Positive Minimum Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Mean Negative Minimum Curvature with Large IBSI Phantom Image", -0.42, results["Curvature Feature::Mean Negative Minimum Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Standard Deviation Negative Minimum Curvature with Large IBSI Phantom Image", 0.733, results["Curvature Feature::Standard Deviation Negative Minimum Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Skewness Negative Minimum Curvature with Large IBSI Phantom Image", -1.73, results["Curvature Feature::Skewness Negative Minimum Curvature"], 0.01); + + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Minimum Maximum Curvature with Large IBSI Phantom Image", -0.83, results["Curvature Feature::Minimum Maximum Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Maximum Maximum Curvature with Large IBSI Phantom Image", 0.79, results["Curvature Feature::Maximum Maximum Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Mean Maximum Curvature with Large IBSI Phantom Image", 0.30, results["Curvature Feature::Mean Maximum Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Standard Deviation Maximum Curvature with Large IBSI Phantom Image", 0.369, results["Curvature Feature::Standard Deviation Maximum Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Skewness Maximum Curvature with Large IBSI Phantom Image", -1.617, results["Curvature Feature::Skewness Maximum Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Mean Positive Maximum Curvature with Large IBSI Phantom Image", 0.419, results["Curvature Feature::Mean Positive Maximum Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Standard Deviation Positive Maximum Curvature with Large IBSI Phantom Image", 0.217, results["Curvature Feature::Standard Deviation Positive Maximum Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Skewness Positive Maximum Curvature with Large IBSI Phantom Image", -0.958, results["Curvature Feature::Skewness Positive Maximum Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Mean Negative Maximum Curvature with Large IBSI Phantom Image", -0.44, results["Curvature Feature::Mean Negative Maximum Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Standard Deviation Negative Maximum Curvature with Large IBSI Phantom Image", 0.399, results["Curvature Feature::Standard Deviation Negative Maximum Curvature"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Curvature Feature::Skewness Negative Maximum Curvature with Large IBSI Phantom Image", 0.109, results["Curvature Feature::Skewness Negative Maximum Curvature"], 0.01); + } + +}; + +MITK_TEST_SUITE_REGISTRATION(mitkGIFCurvatureStatistic ) \ No newline at end of file