ITK  4.9.0
Insight Segmentation and Registration Toolkit
Examples/Filtering/SpatialObjectToImage1.cxx
/*=========================================================================
*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
// Software Guide : BeginLatex
//
// This example illustrates the use of the
// \doxygen{SpatialObjectToImageFilter}. This filter expect a
// \doxygen{SpatialObject} as input, and rasterize it in order to generate an
// output image. This is particularly useful for generating synthetic images,
// in particular binary images containing a mask.
//
// \index{itk::SpatialObjectToImageFilter|textbf}
//
// Software Guide : EndLatex
// Software Guide : BeginLatex
//
// The first step required for using this filter is to include its header file
//
// \index{itk::SpatialObjectToImageFilter!header}
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// This filter takes as input a SpatialObject. However, SpatialObject can be
// grouped together in a hierarchical structure in order to produce more
// complex shapes. In this case, we illustrate how to aggregate multiple basic
// shapes. We should, therefore, include the headers of the individual elementary
// SpatialObjects.
//
// \index{itk::EllipseSpatialObject!header}
// \index{itk::CylinderSpatialObject!header}
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// Then we include the header of the \doxygen{GroupSpatialObject} that will
// group together these instances of SpatialObjects.
//
// \index{itk::GroupSpatialObject!header}
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
// Software Guide : EndCodeSnippet
int main( int argc, char *argv[] )
{
if( argc != 2 )
{
std::cerr << "Usage: " << argv[0] << " outputimagefile " << std::endl;
return EXIT_FAILURE;
}
// Software Guide : BeginLatex
//
// We declare the pixel type and dimension of the image to be produced as
// output.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef signed short PixelType;
const unsigned int Dimension = 3;
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// Using the same dimension, we instantiate the types of the elementary
// SpatialObjects that we plan to group, and we instantiate as well the type
// of the SpatialObject that will hold the group together.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef itk::CylinderSpatialObject CylinderType;
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// We instantiate the SpatialObjectToImageFilter type by using as template
// arguments the input SpatialObject and the output image types.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
GroupType, ImageType > SpatialObjectToImageFilterType;
SpatialObjectToImageFilterType::Pointer imageFilter =
SpatialObjectToImageFilterType::New();
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// The SpatialObjectToImageFilter requires that the user defines the grid
// parameters of the output image. This includes the number of pixels along
// each dimension, the pixel spacing, image direction and
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
ImageType::SizeType size;
size[ 0 ] = 50;
size[ 1 ] = 50;
size[ 2 ] = 150;
imageFilter->SetSize( size );
// Software Guide : EndCodeSnippet
// Software Guide : BeginCodeSnippet
ImageType::SpacingType spacing;
spacing[0] = 100.0 / size[0];
spacing[1] = 100.0 / size[1];
spacing[2] = 300.0 / size[2];
imageFilter->SetSpacing( spacing );
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// We create the elementary shapes that are going to be composed into the
// group spatial objects.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
EllipseType::Pointer ellipse = EllipseType::New();
CylinderType::Pointer cylinder1 = CylinderType::New();
CylinderType::Pointer cylinder2 = CylinderType::New();
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// The Elementary shapes have internal parameters of their own. These
// parameters define the geometrical characteristics of the basic shapes.
// For example, a cylinder is defined by its radius and height.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
ellipse->SetRadius( size[0] * 0.2 * spacing[0] );
cylinder1->SetRadius( size[0] * 0.2 * spacing[0] );
cylinder2->SetRadius( size[0] * 0.2 * spacing[0] );
cylinder1->SetHeight( size[2] * 0.30 * spacing[2]);
cylinder2->SetHeight( size[2] * 0.30 * spacing[2]);
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// Each one of these components will be placed in a different position and
// orientation. We define transforms in order to specify those relative
// positions and orientations.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef GroupType::TransformType TransformType;
TransformType::Pointer transform1 = TransformType::New();
TransformType::Pointer transform2 = TransformType::New();
TransformType::Pointer transform3 = TransformType::New();
transform1->SetIdentity();
transform2->SetIdentity();
transform3->SetIdentity();
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// Then we set the specific values of the transform parameters, and we
// assign the transforms to the elementary shapes.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
TransformType::OutputVectorType translation;
TransformType::CenterType center;
translation[ 0 ] = size[0] * spacing[0] / 2.0;
translation[ 1 ] = size[1] * spacing[1] / 4.0;
translation[ 2 ] = size[2] * spacing[2] / 2.0;
transform1->Translate( translation, false );
translation[ 1 ] = size[1] * spacing[1] / 2.0;
translation[ 2 ] = size[2] * spacing[2] * 0.22;
transform2->Rotate( 1, 2, vnl_math::pi / 2.0 );
transform2->Translate( translation, false );
translation[ 2 ] = size[2] * spacing[2] * 0.78;
transform3->Rotate( 1, 2, vnl_math::pi / 2.0 );
transform3->Translate( translation, false );
ellipse->SetObjectToParentTransform( transform1 );
cylinder1->SetObjectToParentTransform( transform2 );
cylinder2->SetObjectToParentTransform( transform3 );
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// The elementary shapes are aggregated in a parent group, that in turn is
// passed as input to the filter.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
GroupType::Pointer group = GroupType::New();
group->AddSpatialObject( ellipse );
group->AddSpatialObject( cylinder1 );
group->AddSpatialObject( cylinder2 );
imageFilter->SetInput( group );
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// By default, the filter will rasterize the aggregation of elementary
// shapes and will assign a pixel value to locations that fall inside of any
// of the elementary shapes, and a different pixel value to locations that
// fall outside of all of the elementary shapes. It is possible, however, to
// generate richer images if we allow the filter to use the values that the
// elementary spatial objects return via their \code{ValueAt} methods. This
// is what we choose to do in this example, by using the following code.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
const PixelType airHounsfieldUnits = -1000;
const PixelType boneHounsfieldUnits = 800;
ellipse->SetDefaultInsideValue( boneHounsfieldUnits );
cylinder1->SetDefaultInsideValue( boneHounsfieldUnits );
cylinder2->SetDefaultInsideValue( boneHounsfieldUnits );
ellipse->SetDefaultOutsideValue( airHounsfieldUnits );
cylinder1->SetDefaultOutsideValue( airHounsfieldUnits );
cylinder2->SetDefaultOutsideValue( airHounsfieldUnits );
imageFilter->SetUseObjectValue( true );
imageFilter->SetOutsideValue( airHounsfieldUnits );
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// Finally we are ready to run the filter. We use the typical invocation of
// the \code{Update} method, and we instantiate an \code{ImageFileWriter} in
// order to save the generated image into a file.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
WriterType::Pointer writer = WriterType::New();
writer->SetFileName( argv[1] );
writer->SetInput( imageFilter->GetOutput() );
try
{
imageFilter->Update();
writer->Update();
}
catch( itk::ExceptionObject & excp )
{
std::cerr << excp << std::endl;
return EXIT_FAILURE;
}
// Software Guide : EndCodeSnippet
return EXIT_SUCCESS;
}