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Insight Segmentation and Registration Toolkit
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Examples/Filtering/DigitallyReconstructedRadiograph1.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
// \code{RayCastInterpolateImageFunction} class to generate digitally
// reconstructed radiographs (DRRs) from a 3D image volume such as CT
// or MR.
//
// Software Guide : EndLatex
#include "
itkImage.h
"
#include "
itkImageFileReader.h
"
#include "
itkImageFileWriter.h
"
#include "
itkResampleImageFilter.h
"
#include "
itkCenteredEuler3DTransform.h
"
#include "
itkNearestNeighborInterpolateImageFunction.h
"
#include "
itkImageRegionIteratorWithIndex.h
"
#include "
itkRescaleIntensityImageFilter.h
"
// Software Guide : BeginLatex
//
// The \code{RayCastInterpolateImageFunction} class definition for
// this example is contained in the following header file.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
#include "
itkRayCastInterpolateImageFunction.h
"
// Software Guide : EndCodeSnippet
//#define WRITE_CUBE_IMAGE_TO_FILE
void
usage
()
{
std::cerr <<
"\n"
;
std::cerr <<
"Usage: DRR <options> [input]\n"
;
std::cerr <<
" calculates the Digitally Reconstructed Radiograph from a volume. \n\n"
;
std::cerr <<
" where <options> is one or more of the following:\n\n"
;
std::cerr <<
" <-h> Display (this) usage information\n"
;
std::cerr <<
" <-v> Verbose output [default: no]\n"
;
std::cerr <<
" <-res float float> Pixel spacing of the output image [default: 1x1mm] \n"
;
std::cerr <<
" <-size int int> Dimension of the output image [default: 501x501] \n"
;
std::cerr <<
" <-sid float> Distance of ray source (focal point) [default: 400mm]\n"
;
std::cerr <<
" <-t float float float> Translation parameter of the camera \n"
;
std::cerr <<
" <-rx float> Rotation around x,y,z axis in degrees \n"
;
std::cerr <<
" <-ry float>\n"
;
std::cerr <<
" <-rz float>\n"
;
std::cerr <<
" <-normal float float> The 2D projection normal position [default: 0x0mm]\n"
;
std::cerr <<
" <-cor float float float> The centre of rotation relative to centre of volume\n"
;
std::cerr <<
" <-threshold float> Threshold [default: 0]\n"
;
std::cerr <<
" <-o file> Output image filename\n\n"
;
std::cerr <<
" by thomas@hartkens.de\n"
;
std::cerr <<
" and john.hipwell@kcl.ac.uk (CISG London)\n\n"
;
exit(1);
}
int
main(
int
argc,
char
*argv[] )
{
char
*input_name = ITK_NULLPTR;
char
*output_name = ITK_NULLPTR;
bool
ok;
bool
verbose =
false
;
float
rx = 0.;
float
ry = 0.;
float
rz = 0.;
float
tx = 0.;
float
ty = 0.;
float
tz = 0.;
float
cx = 0.;
float
cy = 0.;
float
cz = 0.;
float
sid = 400.;
float
sx = 1.;
float
sy = 1.;
int
dx = 501;
int
dy = 501;
float
o2Dx = 0;
float
o2Dy = 0;
double
threshold=0;
// Parse command line parameters
while
(argc > 1)
{
ok =
false
;
if
((ok ==
false
) && (strcmp(argv[1],
"-h"
) == 0))
{
argc--; argv++;
ok =
true
;
usage
();
}
if
((ok ==
false
) && (strcmp(argv[1],
"-v"
) == 0))
{
argc--; argv++;
ok =
true
;
verbose =
true
;
}
if
((ok ==
false
) && (strcmp(argv[1],
"-rx"
) == 0))
{
argc--; argv++;
ok =
true
;
rx=atof(argv[1]);
argc--; argv++;
}
if
((ok ==
false
) && (strcmp(argv[1],
"-ry"
) == 0))
{
argc--; argv++;
ok =
true
;
ry=atof(argv[1]);
argc--; argv++;
}
if
((ok ==
false
) && (strcmp(argv[1],
"-rz"
) == 0))
{
argc--; argv++;
ok =
true
;
rz=atof(argv[1]);
argc--; argv++;
}
if
((ok ==
false
) && (strcmp(argv[1],
"-threshold"
) == 0))
{
argc--; argv++;
ok =
true
;
threshold=atof(argv[1]);
argc--; argv++;
}
if
((ok ==
false
) && (strcmp(argv[1],
"-t"
) == 0))
{
argc--; argv++;
ok =
true
;
tx=atof(argv[1]);
argc--; argv++;
ty=atof(argv[1]);
argc--; argv++;
tz=atof(argv[1]);
argc--; argv++;
}
if
((ok ==
false
) && (strcmp(argv[1],
"-cor"
) == 0))
{
argc--; argv++;
ok =
true
;
cx=atof(argv[1]);
argc--; argv++;
cy=atof(argv[1]);
argc--; argv++;
cz=atof(argv[1]);
argc--; argv++;
}
if
((ok ==
false
) && (strcmp(argv[1],
"-res"
) == 0))
{
argc--; argv++;
ok =
true
;
sx=atof(argv[1]);
argc--; argv++;
sy=atof(argv[1]);
argc--; argv++;
}
if
((ok ==
false
) && (strcmp(argv[1],
"-size"
) == 0))
{
argc--; argv++;
ok =
true
;
dx=atoi(argv[1]);
argc--; argv++;
dy=atoi(argv[1]);
argc--; argv++;
}
if
((ok ==
false
) && (strcmp(argv[1],
"-sid"
) == 0))
{
argc--; argv++;
ok =
true
;
sid=atof(argv[1]);
argc--; argv++;
}
if
((ok ==
false
) && (strcmp(argv[1],
"-normal"
) == 0))
{
argc--; argv++;
ok =
true
;
o2Dx=atof(argv[1]);
argc--; argv++;
o2Dy=atof(argv[1]);
argc--; argv++;
}
if
((ok ==
false
) && (strcmp(argv[1],
"-o"
) == 0))
{
argc--; argv++;
ok =
true
;
output_name = argv[1];
argc--; argv++;
}
if
(ok ==
false
)
{
if
(input_name == ITK_NULLPTR)
{
input_name = argv[1];
argc--;
argv++;
}
else
{
std::cerr <<
"ERROR: Can not parse argument "
<< argv[1] << std::endl;
usage
();
}
}
}
if
(verbose)
{
if
(input_name) std::cout <<
"Input image: "
<< input_name << std::endl;
if
(output_name) std::cout <<
"Output image: "
<< output_name << std::endl;
}
// Software Guide : BeginLatex
//
// Although we generate a 2D projection of the 3D volume for the
// purposes of the interpolator both images must be three dimensional.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
const
unsigned
int
Dimension
= 3;
typedef
short
InputPixelType;
typedef
unsigned
char
OutputPixelType;
typedef
itk::Image< InputPixelType, Dimension >
InputImageType;
typedef
itk::Image< OutputPixelType, Dimension >
OutputImageType;
InputImageType::Pointer image;
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// For the purposes of this example we assume the input volume has
// been loaded into an \code{itk::Image image}.
//
// Software Guide : EndLatex
if
(input_name)
{
typedef
itk::ImageFileReader< InputImageType >
ReaderType;
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName( input_name );
try
{
reader->Update();
}
catch
(
itk::ExceptionObject
& err )
{
std::cerr <<
"ERROR: ExceptionObject caught !"
<< std::endl;
std::cerr << err << std::endl;
return
EXIT_FAILURE;
}
image = reader->GetOutput();
}
else
{
// No input image specified so create a cube
image = InputImageType::New();
InputImageType::SpacingType spacing;
spacing[0] = 3.;
spacing[1] = 3.;
spacing[2] = 3.;
image->SetSpacing( spacing );
InputImageType::PointType
origin;
origin[0] = 0.;
origin[1] = 0.;
origin[2] = 0.;
image->SetOrigin( origin );
InputImageType::IndexType
start;
start[0] = 0;
// first index on X
start[1] = 0;
// first index on Y
start[2] = 0;
// first index on Z
InputImageType::SizeType
size;
size[0] = 61;
// size along X
size[1] = 61;
// size along Y
size[2] = 61;
// size along Z
InputImageType::RegionType region;
region.
SetSize
( size );
region.SetIndex( start );
image->SetRegions( region );
image->Allocate(
true
);
// initialize to zero.
image->Update();
typedef
itk::ImageRegionIteratorWithIndex< InputImageType >
IteratorType;
IteratorType iterate( image, image->GetLargestPossibleRegion() );
while
( ! iterate.IsAtEnd() )
{
InputImageType::IndexType
idx = iterate.
GetIndex
();
if
( (idx[0] >= 6) && (idx[0] <= 54)
&& (idx[1] >= 6) && (idx[1] <= 54)
&& (idx[2] >= 6) && (idx[2] <= 54)
&& ( ( ((idx[0] <= 11) || (idx[0] >= 49))
&& ((idx[1] <= 11) || (idx[1] >= 49)))
|| ( ((idx[0] <= 11) || (idx[0] >= 49))
&& ((idx[2] <= 11) || (idx[2] >= 49)))
|| ( ((idx[1] <= 11) || (idx[1] >= 49))
&& ((idx[2] <= 11) || (idx[2] >= 49))) ))
{
iterate.Set(10);
}
else
if
( (idx[0] >= 18) && (idx[0] <= 42)
&& (idx[1] >= 18) && (idx[1] <= 42)
&& (idx[2] >= 18) && (idx[2] <= 42)
&& ( ( ((idx[0] <= 23) || (idx[0] >= 37))
&& ((idx[1] <= 23) || (idx[1] >= 37)))
|| ( ((idx[0] <= 23) || (idx[0] >= 37))
&& ((idx[2] <= 23) || (idx[2] >= 37)))
|| ( ((idx[1] <= 23) || (idx[1] >= 37))
&& ((idx[2] <= 23) || (idx[2] >= 37))) ))
{
iterate.Set(60);
}
else
if
((idx[0] == 30) && (idx[1] == 30) && (idx[2] == 30))
{
iterate.Set(100);
}
++iterate;
}
#ifdef WRITE_CUBE_IMAGE_TO_FILE
const
char
*filename =
"cube.gipl"
;
typedef
itk::ImageFileWriter< InputImageType >
WriterType;
WriterType::Pointer writer = WriterType::New();
writer->SetFileName( filename );
writer->SetInput( image );
try
{
std::cout <<
"Writing image: "
<< filename << std::endl;
writer->Update();
}
catch
(
itk::ExceptionObject
& err )
{
std::cerr <<
"ERROR: ExceptionObject caught !"
<< std::endl;
std::cerr << err << std::endl;
return
EXIT_FAILURE;
}
#endif
}
// Print out the details of the input volume
if
(verbose)
{
unsigned
int
i;
const
InputImageType::SpacingType spacing = image->GetSpacing();
std::cout << std::endl <<
"Input "
;
InputImageType::RegionType region = image->GetBufferedRegion();
region.
Print
(std::cout);
std::cout <<
" Resolution: ["
;
for
(i=0; i<
Dimension
; i++)
{
std::cout << spacing[i];
if
(i < Dimension-1) std::cout <<
", "
;
}
std::cout <<
"]"
<< std::endl;
const
InputImageType::PointType
origin = image->GetOrigin();
std::cout <<
" Origin: ["
;
for
(i=0; i<
Dimension
; i++)
{
std::cout << origin[i];
if
(i < Dimension-1) std::cout <<
", "
;
}
std::cout <<
"]"
<< std::endl<< std::endl;
}
// Software Guide : BeginLatex
//
// Creation of a \code{ResampleImageFilter} enables coordinates for
// each of the pixels in the DRR image to be generated. These
// coordinates are used by the \code{RayCastInterpolateImageFunction}
// to determine the equation of each corresponding ray which is cast
// through the input volume.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef
itk::ResampleImageFilter<InputImageType, InputImageType >
FilterType;
FilterType::Pointer filter = FilterType::New();
filter->SetInput( image );
filter->SetDefaultPixelValue( 0 );
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// An Euler transformation is defined to position the input volume.
// The \code{ResampleImageFilter} uses this transform to position the
// output DRR image for the desired view.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef
itk::CenteredEuler3DTransform< double >
TransformType;
TransformType::Pointer transform = TransformType::New();
transform->SetComputeZYX(
true
);
TransformType::OutputVectorType translation;
translation[0] = tx;
translation[1] = ty;
translation[2] = tz;
// constant for converting degrees into radians
const
double
dtr = ( std::atan(1.0) * 4.0 ) / 180.0;
transform->SetTranslation( translation );
transform->SetRotation( dtr*rx, dtr*ry, dtr*rz );
InputImageType::PointType
imOrigin = image->GetOrigin();
InputImageType::SpacingType imRes = image->GetSpacing();
typedef
InputImageType::RegionType InputImageRegionType;
typedef
InputImageRegionType::SizeType
InputImageSizeType;
InputImageRegionType imRegion = image->GetBufferedRegion();
InputImageSizeType imSize = imRegion.
GetSize
();
imOrigin[0] += imRes[0] *
static_cast<
double
>
( imSize[0] ) / 2.0;
imOrigin[1] += imRes[1] *
static_cast<
double
>
( imSize[1] ) / 2.0;
imOrigin[2] += imRes[2] *
static_cast<
double
>
( imSize[2] ) / 2.0;
TransformType::InputPointType center;
center[0] = cx + imOrigin[0];
center[1] = cy + imOrigin[1];
center[2] = cz + imOrigin[2];
transform->SetCenter(center);
if
(verbose)
{
std::cout <<
"Image size: "
<< imSize[0] <<
", "
<< imSize[1] <<
", "
<< imSize[2]
<< std::endl <<
" resolution: "
<< imRes[0] <<
", "
<< imRes[1] <<
", "
<< imRes[2]
<< std::endl <<
" origin: "
<< imOrigin[0] <<
", "
<< imOrigin[1] <<
", "
<< imOrigin[2]
<< std::endl <<
" center: "
<< center[0] <<
", "
<< center[1] <<
", "
<< center[2]
<< std::endl <<
"Transform: "
<< transform << std::endl;
}
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// The \code{RayCastInterpolateImageFunction} is instantiated and passed the transform
// object. The \code{RayCastInterpolateImageFunction} uses this
// transform to reposition the x-ray source such that the DRR image
// and x-ray source move as one around the input volume. This coupling
// mimics the rigid geometry of the x-ray gantry.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef
itk::RayCastInterpolateImageFunction<InputImageType,double>
InterpolatorType;
InterpolatorType::Pointer interpolator = InterpolatorType::New();
interpolator->SetTransform(transform);
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// We can then specify a threshold above which the volume's
// intensities will be integrated.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
interpolator->SetThreshold(threshold);
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// The ray-cast interpolator needs to know the initial position of the
// ray source or focal point. In this example we place the input
// volume at the origin and halfway between the ray source and the
// screen. The distance between the ray source and the screen
// is the "source to image distance" \code{sid} and is specified by
// the user.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
InterpolatorType::InputPointType focalpoint;
focalpoint[0]= imOrigin[0];
focalpoint[1]= imOrigin[1];
focalpoint[2]= imOrigin[2] - sid/2.;
interpolator->SetFocalPoint(focalpoint);
// Software Guide : EndCodeSnippet
if
(verbose)
{
std::cout <<
"Focal Point: "
<< focalpoint[0] <<
", "
<< focalpoint[1] <<
", "
<< focalpoint[2] << std::endl;
}
// Software Guide : BeginLatex
//
// Having initialised the interpolator we pass the object to the
// resample filter.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
interpolator->Print (std::cout);
filter->SetInterpolator( interpolator );
filter->SetTransform( transform );
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// The size and resolution of the output DRR image is specified via the
// resample filter.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
// setup the scene
InputImageType::SizeType
size;
size[0] = dx;
// number of pixels along X of the 2D DRR image
size[1] = dy;
// number of pixels along Y of the 2D DRR image
size[2] = 1;
// only one slice
filter->
SetSize
( size );
InputImageType::SpacingType spacing;
spacing[0] = sx;
// pixel spacing along X of the 2D DRR image [mm]
spacing[1] = sy;
// pixel spacing along Y of the 2D DRR image [mm]
spacing[2] = 1.0;
// slice thickness of the 2D DRR image [mm]
filter->SetOutputSpacing( spacing );
// Software Guide : EndCodeSnippet
if
(verbose)
{
std::cout <<
"Output image size: "
<< size[0] <<
", "
<< size[1] <<
", "
<< size[2] << std::endl;
std::cout <<
"Output image spacing: "
<< spacing[0] <<
", "
<< spacing[1] <<
", "
<< spacing[2] << std::endl;
}
// Software Guide : BeginLatex
//
// In addition the position of the DRR is specified. The default
// position of the input volume, prior to its transformation is
// half-way between the ray source and screen and unless specified
// otherwise the normal from the "screen" to the ray source passes
// directly through the centre of the DRR.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
double
origin[
Dimension
];
origin[0] = imOrigin[0] + o2Dx - sx*((double) dx - 1.)/2.;
origin[1] = imOrigin[1] + o2Dy - sy*((double) dy - 1.)/2.;
origin[2] = imOrigin[2] + sid/2.;
filter->SetOutputOrigin( origin );
// Software Guide : EndCodeSnippet
if
(verbose)
{
std::cout <<
"Output image origin: "
<< origin[0] <<
", "
<< origin[1] <<
", "
<< origin[2] << std::endl;
}
// create writer
if
(output_name)
{
// Software Guide : BeginLatex
//
// The output of the resample filter can then be passed to a writer to
// save the DRR image to a file.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef
itk::RescaleIntensityImageFilter
<
InputImageType, OutputImageType > RescaleFilterType;
RescaleFilterType::Pointer rescaler = RescaleFilterType::New();
rescaler->SetOutputMinimum( 0 );
rescaler->SetOutputMaximum( 255 );
rescaler->SetInput( filter->GetOutput() );
typedef
itk::ImageFileWriter< OutputImageType >
WriterType;
WriterType::Pointer writer = WriterType::New();
writer->SetFileName( output_name );
writer->SetInput( rescaler->GetOutput() );
try
{
std::cout <<
"Writing image: "
<< output_name << std::endl;
writer->Update();
}
catch
(
itk::ExceptionObject
& err )
{
std::cerr <<
"ERROR: ExceptionObject caught !"
<< std::endl;
std::cerr << err << std::endl;
}
// Software Guide : EndCodeSnippet
}
else
{
filter->Update();
}
return
EXIT_SUCCESS;
}
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