diff --git a/Modules/Classification/CLUtilities/test/mitkGIFFirstOrderStatisticsTest.cpp b/Modules/Classification/CLUtilities/test/mitkGIFFirstOrderStatisticsTest.cpp
index 42c5453bbb..d6af72b9a8 100644
--- a/Modules/Classification/CLUtilities/test/mitkGIFFirstOrderStatisticsTest.cpp
+++ b/Modules/Classification/CLUtilities/test/mitkGIFFirstOrderStatisticsTest.cpp
@@ -1,113 +1,112 @@
 /*===================================================================
 
 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 <mitkTestingMacros.h>
 #include <mitkTestFixture.h>
 #include "mitkIOUtil.h"
 #include <cmath>
 
 #include <mitkGIFFirstOrderStatistics.h>
 
 class mitkGIFFirstOrderStatisticsTestSuite : public mitk::TestFixture
 {
   CPPUNIT_TEST_SUITE(mitkGIFFirstOrderStatisticsTestSuite);
 
   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<mitk::Image>(GetTestDataFilePath("Radiomics/IBSI_Phantom_Image_Small.nrrd"));
     m_IBSI_Phantom_Image_Large = mitk::IOUtil::Load<mitk::Image>(GetTestDataFilePath("Radiomics/IBSI_Phantom_Image_Large.nrrd"));
     m_IBSI_Phantom_Mask_Small = mitk::IOUtil::Load<mitk::Image>(GetTestDataFilePath("Radiomics/IBSI_Phantom_Mask_Small.nrrd"));
     m_IBSI_Phantom_Mask_Large = mitk::IOUtil::Load<mitk::Image>(GetTestDataFilePath("Radiomics/IBSI_Phantom_Mask_Large.nrrd"));
   }
 
   void ImageDescription_PhantomTest()
   {
     mitk::GIFFirstOrderStatistics::Pointer featureCalculator = mitk::GIFFirstOrderStatistics::New();
 
     featureCalculator->SetUseBinsize(true);
     featureCalculator->SetBinsize(1);
     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<std::string, double> results;
     for (auto valuePair : featureList)
     {
       MITK_INFO << valuePair.first << " : " << valuePair.second;
       results[valuePair.first] = valuePair.second;
     }
     CPPUNIT_ASSERT_EQUAL_MESSAGE("Image Diagnostics should calculate 50 features.", std::size_t(50), featureList.size());
 
     // These values are obtained by a run of the filter.
     // The might be wrong!
 
 
     // These values are taken from the IBSI Initiative to ensure compatibility
     // The values are given with an accuracy of 0.01
     CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Mean with Large IBSI Phantom Image", 2.15, results["First Order::Mean"], 0.01);
     CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Unbiased Variance with Large IBSI Phantom Image", 3.09, results["First Order::Unbiased Variance"], 0.01);
     CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Biased Variance with Large IBSI Phantom Image", 3.05, results["First Order::Biased Variance"], 0.01);
     CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Skewness with Large IBSI Phantom Image", 1.08, results["First Order::Skewness"], 0.01);
     CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Kurtosis with Large IBSI Phantom Image", 2.65, results["First Order::Kurtosis"], 0.01);
     CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Median with Large IBSI Phantom Image", 1, results["First Order::Median"], 0.01);
     CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Minimum with Large IBSI Phantom Image", 1, results["First Order::Minimum"], 0.01);
     CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Maximum with Large IBSI Phantom Image", 6, results["First Order::Maximum"], 0.01);
     CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Range with Large IBSI Phantom Image", 5, results["First Order::Range"], 0.01);
-    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Mean absolute deviation with Large IBSI Phantom Image", 1.55, results["First Order::Mean absolute deviation"], 0.01);
-    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Robust mean absolute deviation with Large IBSI Phantom Image", 1.11, results["First Order::Robust mean absolute deviation"], 0.01);
-    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Median absolute deviation with Large IBSI Phantom Image", 1.15, results["First Order::Median absolute deviation"], 0.01);
-    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Coefficient of variation with Large IBSI Phantom Image", 0.812, results["First Order::Coefficient of variation"], 0.01);
-    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Quantile coefficient of dispersion with Large IBSI Phantom Image", 0.625, results["First Order::Quantile coefficient of dispersion"], 0.01);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Mean Absolute Deviation with Large IBSI Phantom Image", 1.55, results["First Order::Mean Absolute Deviation"], 0.01);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Robust Mean Absolute Deviation with Large IBSI Phantom Image", 1.11, results["First Order::Robust Mean Absolute Deviation"], 0.01);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Median Absolute Deviation with Large IBSI Phantom Image", 1.15, results["First Order::Median Absolute Deviation"], 0.01);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Coefficient of variation with Large IBSI Phantom Image", 0.812, results["First Order::Coefficient Of Variation"], 0.01);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Quantile coefficient of dispersion with Large IBSI Phantom Image", 0.625, results["First Order::Quantile Coefficient Of Dispersion"], 0.01);
     CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Energy with Large IBSI Phantom Image", 567, results["First Order::Energy"], 0.01);
-    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Root mean square with Large IBSI Phantom Image", 2.77, results["First Order::Root mean square"], 0.01);
-    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Standard Deviation with Large IBSI Phantom Image", 1.74513, results["First Order::Standard Deviation"], 0.01);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Root mean square with Large IBSI Phantom Image", 2.77, results["First Order::Root Mean Square"], 0.01);
     CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Entropy with Large IBSI Phantom Image", 1.26561, results["First Order::Entropy"], 0.01);
-    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Excess Kurtosis with Large IBSI Phantom Image", 2.64538, results["First Order::Excess Kurtosis"], 0.01);
-    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Covered image intensity range with Large IBSI Phantom Image", 0.5555555, results["First Order::Covered image intensity range"], 0.01);
-    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Sum of voxels with Large IBSI Phantom Image", 159, results["First Order::Sum of voxels"], 0.01);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Excess Kurtosis with Large IBSI Phantom Image", -0.35462, results["First Order::Excess Kurtosis"], 0.01);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Covered image intensity range with Large IBSI Phantom Image", 0.5555555, results["First Order::Covered Image Intensity Range"], 0.01);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Sum of voxels with Large IBSI Phantom Image", 159, results["First Order::Sum"], 0.01);
     CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Mode with Large IBSI Phantom Image", 1, results["First Order::Mode"], 0.01);
     CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Mode Probability with Large IBSI Phantom Image", 50, results["First Order::Mode Probability"], 0.01);
     CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Unbiased Standard deviation with Large IBSI Phantom Image", 1.757, results["First Order::Unbiased Standard deviation"], 0.01);
     CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Biased Standard deviation with Large IBSI Phantom Image", 1.74627, results["First Order::Biased Standard deviation"], 0.01);
-    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Robust mean with Large IBSI Phantom Image", 1.74627, results["First Order::Robust mean"], 0.01);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Robust mean with Large IBSI Phantom Image", 1.74627, results["First Order::Robust Mean"], 0.01);
     CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Number Of Voxels with Large IBSI Phantom Image", 74, results["First Order::Number Of Voxels"], 0.01);
     CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::10th Percentile with Large IBSI Phantom Image", 0.648, results["First Order::10th Percentile"], 0.01);
     CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::90th Percentile with Large IBSI Phantom Image", 4.475, results["First Order::90th Percentile"], 0.01);
-    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Interquantile Range with Large IBSI Phantom Image", 3, results["First Order::Interquantile Range"], 0.01);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Interquantile Range with Large IBSI Phantom Image", 2.91125, results["First Order::Interquartile Range"], 0.01);
     CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Voxel Space with Large IBSI Phantom Image", 8, results["First Order::Voxel Space"], 0.01);
     CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Voxel Volume with Large IBSI Phantom Image", 8, results["First Order::Voxel Volume"], 0.01);
     CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("First Order::Image Dimension with Large IBSI Phantom Image", 3, results["First Order::Image Dimension"], 0.01);
 
   }
 
 };
 
 MITK_TEST_SUITE_REGISTRATION(mitkGIFFirstOrderStatistics )
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