NAMIC Wiki:DTI:ITK-DiffusionTensorPixelType:Test
From NAMIC Wiki
Home < NAMIC Wiki:DTI:ITK-DiffusionTensorPixelType:Test
Test for the Diffusion Tensor pixel type
The following code is a typical test file for the functionalities implemented in the DiffusionTensorPixel type. It also exercises the use of this pixel type in an itk::Image instantiation.
#if defined(_MSC_VER) #pragma warning ( disable : 4786 ) #endif #include <iostream> #include "itkDiffusionTensorPixel.h" #include "itkImage.h" #include "itkImageRegionIterator.h" int itkDiffusionTensorPixelTest(int, char* [] ) { int i, j; // Test it all float val[6] = {1.8, 0.2, 0.5, 3.4, 2.0, 1.2}; itk::DiffusionTensorPixel<float> pixel(val); unsigned char pixelInit0[6] = {255, 255, 255}; unsigned char pixelInit1[6] = {255, 255, 244}; itk::DiffusionTensorPixel<unsigned char> pixelArray[2]; pixelArray[0] = pixelInit0; pixelArray[1] = pixelInit1; std::cout << "sizeof(pixel) = " << sizeof (pixel) << std::endl; if (sizeof(pixel) != 6 * sizeof(itk::DiffusionTensorPixel<float>::ComponentType)) { std::cerr << "ERROR: sizeof(pixel) == " << sizeof(pixel) << " but is should be " << 6 * sizeof(itk::DiffusionTensorPixel<float>::ComponentType) << std::endl; return 1; } std::cout << "pixel.GetNumberOfComponents = " << pixel.GetNumberOfComponents() << std::endl; std::cout << "pixel.GetNthComponent()" << std::endl; for (i = 0; i < pixel.GetNumberOfComponents(); i++) { std::cout << "\tpixel[" << i << "] = " << pixel.GetNthComponent(i) << std::endl; } pixel(0,0) = 11.0; pixel(0,1) = 21.0; pixel(0,2) = 15.0; pixel(1,0) = 11.0; pixel(1,1) = 31.0; pixel(1,2) = 10.0; pixel(2,0) = 11.0; // these three last element will overwrite its symmetric counterparts pixel(2,1) = 41.0; pixel(2,2) = 14.0; std::cout << "testing the pixel(i,j) APID" << std::endl; for (i = 0; i < pixel.GetNumberOfComponents(); i++) { std::cout << "\tpixel[" << i << "] = " << pixel.GetNthComponent(i) << std::endl; } std::cout << "pixel[0] = 111; pixel[1] = 222; pixel[2] = 333;" << std::endl; std::cout << "pixel[3] = 444; pixel[4] = 555; pixel[5] = 666;" << std::endl; pixel[0] = 111; pixel[1] = 222; pixel[2] = 333; pixel[3] = 444; pixel[4] = 555; pixel[5] = 666; for (i = 0; i < pixel.GetNumberOfComponents(); i++) { std::cout << "\tpixel[" << i << "] = " << pixel.GetNthComponent(i) << std::endl; } std::cout << "std::cout << pixel << std::endl;" << std::endl; std::cout << "\t" << pixel << std::endl; for (j = 0; j < 2; j++) { std::cout << "pixelArray["<< j << "].GetNumberOfComponents = " << pixelArray[j].GetNumberOfComponents() << std::endl; std::cout << "pixelArray[" << j << "].GetNthComponent()" << std::endl; for (i = 0; i < pixelArray[j].GetNumberOfComponents(); i++) { std::cout << "\tpixelArray[" << j << "].GetNthComponent(" << i << ") = " << static_cast<int>(pixelArray[j].GetNthComponent(i)) << std::endl; } } std::cout << "Testing arithmetic methods" << std::endl; itk::DiffusionTensorPixel< float > pa; itk::DiffusionTensorPixel< float > pb; pa[0] = 1.25; pa[1] = 3.25; pa[2] = 5.25; pa[3] = 1.25; pa[4] = 3.25; pa[5] = 5.25; pb[0] = 1.55; pb[1] = 3.55; pb[2] = 5.55; pb[3] = 1.55; pb[4] = 3.55; pb[5] = 5.55; itk::DiffusionTensorPixel< float > pc; pc = pa + pb; std::cout << "addition = " << pc << std::endl; pc = pa - pb; std::cout << "subtraction = " << pc << std::endl; pc += pb; std::cout << "in-place addition = " << pc << std::endl; pc -= pb; std::cout << "in-place subtraction = " << pc << std::endl; pc = pa * 3.2; std::cout << "product by scalar = " << pc << std::endl; /** Create an Image of tensors */ typedef itk::DiffusionTensorPixel< float > PixelType; typedef itk::Image< PixelType, 3 > ImageType; ImageType::Pointer dti = ImageType::New(); ImageType::SizeType size; ImageType::IndexType start; ImageType::RegionType region; region.SetIndex( start ); region.SetSize( size ); dti->SetRegions( region ); dti->Allocate(); ImageType::SpacingType spacing; spacing[0] = 0.5; spacing[1] = 0.5; spacing[2] = 1.5; ImageType::PointType origin; origin[0] = 25.5; origin[1] = 25.5; origin[2] = 27.5; dti->SetOrigin( origin ); dti->SetSpacing( spacing ); PixelType tensor; tensor[0] = 1.2; tensor[1] = 2.2; tensor[2] = 3.2; tensor[3] = 4.2; tensor[4] = 5.2; tensor[5] = 6.2; dti->FillBuffer( tensor ); typedef itk::ImageRegionIterator< ImageType > IteratorType; IteratorType it( dti, region ); it.GoToBegin(); while( !it.IsAtEnd() ) { it.Set( tensor ); ++it; } return EXIT_SUCCESS; }