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ImageLinearIteratorWithIndex2.cxx
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ImageLinearIteratorWithIndex2.cxx
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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: ImageLinearIteratorWithIndex2.cxx
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
// Software Guide : BeginLatex
//
// This example shows how to use the \doxygen{ImageLinearIteratorWithIndex} for
// computing the mean across time of a 4D image where the first three
// dimensions correspond to spatial coordinates and the fourth dimension
// corresponds to time. The result of the mean across time is to be stored in a
// 3D image.
//
// \index{Iterators!and 4D images}
// \index{ImageLinearIteratorWithIndex!4D images}
//
// Software Guide : EndLatex
#include "itkImage.h"
// Software Guide : BeginCodeSnippet
#include "itkImageLinearConstIteratorWithIndex.h"
// Software Guide : EndCodeSnippet
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
int main( int argc, char *argv[] )
{
// Verify the number of parameters on the command line.
if ( argc < 3 )
{
std::cerr << "Missing parameters. " << std::endl;
std::cerr << "Usage: " << std::endl;
std::cerr << argv[0]
<< " input4DImageFile output3DImageFile"
<< std::endl;
return EXIT_FAILURE;
}
// Software Guide : BeginLatex
//
// First we decrare the types of the images
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef unsigned char PixelType;
typedef itk::Image< PixelType, 3 > Image3DType;
typedef itk::Image< PixelType, 4 > Image4DType;
typedef itk::ImageFileReader< Image4DType > Reader4DType;
typedef itk::ImageFileWriter< Image3DType > Writer3DType;
Reader4DType::Pointer reader4D = Reader4DType::New();
reader4D->SetFileName( argv[1] );
try
{
reader4D->Update();
}
catch( itk::ExceptionObject & excp )
{
std::cerr << "Error writing the image" << std::endl;
std::cerr << excp << std::endl;
return EXIT_FAILURE;
}
Image4DType::ConstPointer image4D = reader4D->GetOutput();
Image3DType::Pointer image3D = Image3DType::New();
typedef Image3DType::IndexType Index3DType;
typedef Image3DType::SizeType Size3DType;
typedef Image3DType::RegionType Region3DType;
typedef Image3DType::SpacingType Spacing3DType;
typedef Image3DType::PointType Origin3DType;
typedef Image4DType::IndexType Index4DType;
typedef Image4DType::SizeType Size4DType;
typedef Image4DType::RegionType Region4DType;
typedef Image4DType::SpacingType Spacing4DType;
typedef Image4DType::PointType Origin4DType;
Index3DType index3D;
Size3DType size3D;
Spacing3DType spacing3D;
Origin3DType origin3D;
Image4DType::RegionType region4D = image4D->GetBufferedRegion();
Index4DType index4D = region4D.GetIndex();
Size4DType size4D = region4D.GetSize();
Spacing4DType spacing4D = image4D->GetSpacing();
Origin4DType origin4D = image4D->GetOrigin();
for( unsigned int i=0; i < 3; i++)
{
size3D[i] = size4D[i];
index3D[i] = index4D[i];
spacing3D[i] = spacing4D[i];
origin3D[i] = origin4D[i];
}
image3D->SetSpacing( spacing3D );
image3D->SetOrigin( origin3D );
Region3DType region3D;
region3D.SetIndex( index3D );
region3D.SetSize( size3D );
image3D->SetRegions( region3D );
image3D->Allocate();
typedef itk::NumericTraits< PixelType >::AccumulateType SumType;
typedef itk::NumericTraits< SumType >::RealType MeanType;
const unsigned int timeLength = region4D.GetSize()[3];
typedef itk::ImageLinearConstIteratorWithIndex<
Image4DType > IteratorType;
IteratorType it( image4D, region4D );
it.SetDirection( 3 ); // Walk along time dimension
it.GoToBegin();
while( !it.IsAtEnd() )
{
SumType sum = itk::NumericTraits< SumType >::Zero;
it.GoToBeginOfLine();
index4D = it.GetIndex();
while( !it.IsAtEndOfLine() )
{
sum += it.Get();
++it;
}
MeanType mean = static_cast< MeanType >( sum ) /
static_cast< MeanType >( timeLength );
index3D[0] = index4D[0];
index3D[1] = index4D[1];
index3D[2] = index4D[2];
image3D->SetPixel( index3D, static_cast< PixelType >( mean ) );
it.NextLine();
}
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// As you can see, we avoid to use a 3D iterator to walk
// over the mean image. The reason is that there is no
// guarranty that the 3D iterator will walk in the same
// order as the 4D. Iterators just adhere to their contract
// of visiting all the pixel, but do not enforce any particular
// order for the visits. The linear iterator guarraties to
// visit the pixels along a line of the image in the order
// in which they are placed in the line, but do not states
// in what order one line will be visited with respect to
// other lines. Here we simply take advantage of knowing
// the first three components of the 4D iterator index,
// and use them to place the resulting mean value in the
// output 3D image.
//
// Software Guide : EndLatex
Writer3DType::Pointer writer3D = Writer3DType::New();
writer3D->SetFileName( argv[2] );
writer3D->SetInput( image3D );
try
{
writer3D->Update();
}
catch( itk::ExceptionObject & excp )
{
std::cerr << "Error writing the image" << std::endl;
std::cerr << excp << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}