diff --git a/Modules/Classification/CLUtilities/test/mitkGIFVolumetricDensityStatisticsTest.cpp b/Modules/Classification/CLUtilities/test/mitkGIFVolumetricDensityStatisticsTest.cpp index adde06ef97..d29ae3f58b 100644 --- a/Modules/Classification/CLUtilities/test/mitkGIFVolumetricDensityStatisticsTest.cpp +++ b/Modules/Classification/CLUtilities/test/mitkGIFVolumetricDensityStatisticsTest.cpp @@ -1,92 +1,92 @@ /*=================================================================== 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 mitkGIFVolumetricDensityStatisticsTestSuite : public mitk::TestFixture { CPPUNIT_TEST_SUITE(mitkGIFVolumetricDensityStatisticsTestSuite); 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::Load(GetTestDataFilePath("Radiomics/IBSI_Phantom_Image_Small.nrrd")); m_IBSI_Phantom_Image_Large = mitk::IOUtil::Load(GetTestDataFilePath("Radiomics/IBSI_Phantom_Image_Large.nrrd")); m_IBSI_Phantom_Mask_Small = mitk::IOUtil::Load(GetTestDataFilePath("Radiomics/IBSI_Phantom_Mask_Small.nrrd")); m_IBSI_Phantom_Mask_Large = mitk::IOUtil::Load(GetTestDataFilePath("Radiomics/IBSI_Phantom_Mask_Large.nrrd")); } void ImageDescription_PhantomTest() { mitk::GIFVolumetricDensityStatistics::Pointer featureCalculator = mitk::GIFVolumetricDensityStatistics::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 13 features.", std::size_t(13), featureList.size()); // These values are obtained by a run of the filter. // The might be wrong! // These values are obtained in collaboration with IBSI. // They are usually reported with an accuracy of 0.01 CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Morphological Density::Volume integrated intensity with Large IBSI Phantom Image", 1195, results["Morphological Density::Volume integrated intensity"], 1.0); CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Morphological Density::Volume Moran's I index with Large IBSI Phantom Image", 0.0397, results["Morphological Density::Volume Moran's I index"], 0.0001); CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Morphological Density::Volume Geary's C measure with Large IBSI Phantom Image", 0.974, results["Morphological Density::Volume Geary's C measure"], 0.001); CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Morphological Density::Volume Volume density axis-aligned bounding box with Large IBSI Phantom Image", 0.87, results["Morphological Density::Volume density axis-aligned bounding box"], 0.01); CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Morphological Density::Surface Volume density axis-aligned bounding box with Large IBSI Phantom Image", 0.87, results["Morphological Density::Surface density axis-aligned bounding box"], 0.01); CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Morphological Density::Volume Volume oriented minimum bounding box with Large IBSI Phantom Image", 0.87, results["Morphological Density::Volume density oriented minimum bounding box"], 0.01); CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Morphological Density::Surface Volume oriented minimum bounding box with Large IBSI Phantom Image", 0.86, results["Morphological Density::Surface density oriented minimum bounding box"], 0.01); CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Morphological Density::Volume Volume approx. enclosing ellipsoid with Large IBSI Phantom Image", 1.17, results["Morphological Density::Volume density approx. enclosing ellipsoid"], 0.01); CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Morphological Density::Surface Volume approx. enclosing ellipsoid with Large IBSI Phantom Image", 1.34, results["Morphological Density::Surface density approx. enclosing ellipsoid"], 0.01); CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Morphological Density::Volume Volume minimum volume enclosing ellipsoid with Large IBSI Phantom Image", 0.24, results["Morphological Density::Volume density approx. minimum volume enclosing ellipsoid"], 0.01); - CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Morphological Density::Surface Volume minimum volume enclosing ellipsoid with Large IBSI Phantom Image", 0.46, results["Morphological Density::Surface density approx. minimum volume enclosing ellipsoid"], 0.01); + CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Morphological Density::Surface Volume minimum volume enclosing ellipsoid with Large IBSI Phantom Image", 0.49, results["Morphological Density::Surface density approx. minimum volume enclosing ellipsoid"], 0.01); CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Morphological Density::Volume Volume convex hull with Large IBSI Phantom Image", 0.96, results["Morphological Density::Volume density convex hull"], 0.01); CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Morphological Density::Surface Volume convex hull with Large IBSI Phantom Image", 1.03, results["Morphological Density::Surface density convex hull"], 0.01); } }; MITK_TEST_SUITE_REGISTRATION(mitkGIFVolumetricDensityStatistics ) \ No newline at end of file