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#include "itkCSVNumericObjectFileWriter.h"
#include "antsUtilities.h"
#include "antsAllocImage.h"
#include "itkantsRegistrationHelper.h"
#include "itkCSVArray2DFileReader.h"
#include "itkAffineTransform.h"
#include "itkCompositeTransform.h"
#include "itkDisplacementFieldTransform.h"
#include "itkIdentityTransform.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkMatrixOffsetTransformBase.h"
#include "itkResampleImageFilter.h"
#include "itkTransformFactory.h"
#include "itkTransformFileReader.h"
#include "itkBSplineInterpolateImageFunction.h"
#include "itkLinearInterpolateImageFunction.h"
#include "itkGaussianInterpolateImageFunction.h"
#include "itkNearestNeighborInterpolateImageFunction.h"
#include "itkWindowedSincInterpolateImageFunction.h"
#include "itkLabelImageGaussianInterpolateImageFunction.h"
namespace ants
{
template <unsigned int Dimension, typename RealType>
int
antsApplyTransformsToPoints(itk::ants::CommandLineParser::Pointer & parser)
{
using MatrixType = vnl_matrix<RealType>;
MatrixType points_out;
MatrixType points_in;
using ImageType = itk::Image<RealType, 2>;
using ReaderType = itk::CSVArray2DFileReader<RealType>;
using DataFrameObjectType = itk::CSVArray2DDataObject<RealType>;
using StringVectorType = typename DataFrameObjectType::StringVectorType;
StringVectorType colheadernames;
typename ImageType::Pointer pointimage = nullptr;
itk::ants::CommandLineParser::OptionType::Pointer antsrOption = parser->GetOption("forantsr");
unsigned int forANTsR = 0;
if (antsrOption && antsrOption->GetNumberOfFunctions() > 0)
{
forANTsR = parser->Convert<unsigned int>(antsrOption->GetFunction(0)->GetName());
}
/**
* Input object option
*/
typename itk::ants::CommandLineParser::OptionType::Pointer inputOption = parser->GetOption("input");
typename itk::ants::CommandLineParser::OptionType::Pointer outputOption = parser->GetOption("output");
if (inputOption && inputOption->GetNumberOfFunctions() > 0)
{
std::size_t lengthInputFileName = std::strlen(inputOption->GetFunction(0)->GetName().c_str());
std::string ext = (inputOption->GetFunction(0)->GetName()).substr(lengthInputFileName - 4);
if (strcmp(ext.c_str(), ".csv") == 0)
{
typename ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName((inputOption->GetFunction(0)->GetName()).c_str());
reader->SetFieldDelimiterCharacter(',');
reader->SetStringDelimiterCharacter('"');
reader->HasColumnHeadersOn();
reader->HasRowHeadersOff();
// reader->UseStringDelimiterCharacterOff();
try
{
reader->Update();
}
catch (const itk::ExceptionObject & exp)
{
std::cerr << "Exception caught!" << std::endl;
std::cerr << exp << std::endl;
}
typename DataFrameObjectType::Pointer dfo = reader->GetOutput();
colheadernames = dfo->GetColumnHeaders();
if (colheadernames.size() < Dimension)
{
std::cerr
<< "Input csv file must have column names such as x,y,z,t,label - where there are a minimum of "
"N-Spatial-Dimensions names e.g. x,y in 2D. ***Or pass in a 2D mha (meta format) binary image file."
<< std::endl;
return EXIT_FAILURE;
}
points_in = dfo->GetMatrix();
points_out.set_size(points_in.rows(), points_in.cols());
}
else if (strcmp(ext.c_str(), ".mha") == 0 || forANTsR)
{
std::string fn1 = inputOption->GetFunction(0)->GetName();
ReadImage<ImageType>(pointimage, fn1.c_str());
typename ImageType::IndexType ind;
ind.Fill(0);
typename ImageType::SizeType sz;
sz.Fill(0);
sz = pointimage->GetLargestPossibleRegion().GetSize();
points_in.set_size(sz[0], sz[1]);
points_out.set_size(points_in.rows(), points_in.cols());
for (unsigned int d = 0; d < sz[0]; d++)
{
for (unsigned int dd = 0; dd < sz[1]; dd++)
{
ind[0] = d;
ind[1] = dd;
points_in(d, dd) = pointimage->GetPixel(ind);
}
}
}
else
{
std::cerr << "An input csv or mha file is required." << std::endl;
return EXIT_FAILURE;
}
if (points_in.cols() < Dimension)
{
std::cerr << "The number of columns in the input point set is fewer than " << Dimension << " Exiting."
<< std::endl;
return EXIT_FAILURE;
}
if (outputOption && outputOption->GetNumberOfFunctions() > 0)
{
if (outputOption->GetFunction(0)->GetNumberOfParameters() > 1 &&
parser->Convert<unsigned int>(outputOption->GetFunction(0)->GetParameter(1)) == 0)
{
std::cerr << "An input csv file is required." << std::endl;
return EXIT_FAILURE;
}
}
/**
* Transform option
*/
// Register the matrix offset transform base class to the
// transform factory for compatibility with the current ANTs.
using MatrixOffsetTransformType = itk::MatrixOffsetTransformBase<RealType, Dimension, Dimension>;
itk::TransformFactory<MatrixOffsetTransformType>::RegisterTransform();
using MatrixOffsetTransformType = itk::MatrixOffsetTransformBase<RealType, Dimension, Dimension>;
itk::TransformFactory<MatrixOffsetTransformType>::RegisterTransform();
/**
* Load an identity transform in case no transforms are loaded.
*/
// Register the matrix offset transform base class to the
// transform factory for compatibility with the current ANTs.
using AffineTransformType = itk::AffineTransform<RealType, Dimension>;
typename AffineTransformType::Pointer aff = AffineTransformType::New();
aff->SetIdentity();
using CompositeTransformType = itk::CompositeTransform<RealType, Dimension>;
typename CompositeTransformType::InputPointType point_in;
typename CompositeTransformType::OutputPointType point_out;
typename itk::ants::CommandLineParser::OptionType::Pointer transformOption = parser->GetOption("transform");
std::vector<bool> isDerivedTransform;
typename CompositeTransformType::Pointer compositeTransform =
GetCompositeTransformFromParserOption<RealType, Dimension>(parser, transformOption, isDerivedTransform, forANTsR);
if (compositeTransform->GetNumberOfTransforms() == 0)
compositeTransform->AddTransform(aff);
if (compositeTransform.IsNull())
{
return EXIT_FAILURE;
}
for (unsigned int pointct = 0; pointct < points_in.rows(); pointct++)
{
point_in.Fill(0);
point_out.Fill(0);
for (unsigned int p = 0; p < Dimension; p++)
{
point_in[p] = points_in(pointct, p);
}
point_out = compositeTransform->TransformPoint(point_in);
for (unsigned int p = 0; p < Dimension; p++)
{
points_out(pointct, p) = point_out[p];
}
for (unsigned int p = Dimension; p < points_in.cols(); p++)
{
points_out(pointct, p) = points_in(pointct, p);
}
}
/**
* output
*/
if (outputOption && outputOption->GetNumberOfFunctions() > 0)
{
std::string outputFileName = "";
if (outputOption->GetFunction(0)->GetNumberOfParameters() > 1 &&
parser->Convert<unsigned int>(outputOption->GetFunction(0)->GetParameter(1)) == 0)
{
outputFileName = outputOption->GetFunction(0)->GetParameter(0);
}
else
{
outputFileName = outputOption->GetFunction(0)->GetName();
}
std::size_t lengthOutputFileName = std::strlen(outputFileName.c_str());
std::string exto = outputFileName.substr(lengthOutputFileName - 4);
if (strcmp(exto.c_str(), ".csv") == 0)
{
StringVectorType ColumnHeaders = colheadernames;
using WriterType = itk::CSVNumericObjectFileWriter<RealType, 1, 1>;
typename WriterType::Pointer writer = WriterType::New();
writer->SetFileName(outputFileName);
writer->SetInput(&points_out);
writer->SetColumnHeaders(ColumnHeaders);
try
{
writer->Write();
}
catch (const itk::ExceptionObject & exp)
{
std::cerr << "Exception caught!" << std::endl;
std::cerr << exp << std::endl;
return EXIT_FAILURE;
}
}
if ((strcmp(exto.c_str(), ".mha") == 0 || forANTsR) && (!pointimage.IsNull()))
{
typename ImageType::IndexType ind;
ind.Fill(0);
typename ImageType::SizeType sz;
sz.Fill(0);
sz = pointimage->GetLargestPossibleRegion().GetSize();
if (sz[0] != points_out.rows() || sz[1] != points_out.cols())
{
std::cout << " the size of points_out must match the input pointimage" << std::endl;
return EXIT_FAILURE;
}
for (unsigned int d = 0; d < sz[0]; d++)
for (unsigned int dd = 0; dd < sz[1]; dd++)
{
ind[0] = d;
ind[1] = dd;
pointimage->SetPixel(ind, points_out(d, dd));
}
ANTs::WriteImage<ImageType>(pointimage, outputFileName.c_str());
}
}
}
return EXIT_SUCCESS;
}
static void
antsApplyTransformsToPointsInitializeCommandLineOptions(itk::ants::CommandLineParser * parser)
{
{
std::string description =
std::string("This option forces the points to be treated as a specified-") + std::string("dimensionality.");
OptionType::Pointer option = OptionType::New();
option->SetLongName("dimensionality");
option->SetShortName('d');
option->SetUsageOption(0, "2/3");
option->SetDescription(description);
parser->AddOption(option);
}
{
std::string description = std::string("use-double-precision");
OptionType::Pointer option = OptionType::New();
option->SetLongName("precision");
option->SetShortName('p');
option->SetUsageOption(0, "0/1");
option->SetDescription(description);
parser->AddOption(option);
}
{
std::string description = std::string("set true for ANTsR IO");
OptionType::Pointer option = OptionType::New();
option->SetLongName("forantsr");
option->SetShortName('f');
option->SetUsageOption(0, "0/1");
option->SetDescription(description);
parser->AddOption(option);
}
{
std::string description =
std::string("Currently, the only input supported is a csv file with ") +
std::string("columns including x,y,z,t (all 4) column headers. ") +
std::string("if you don't have 4D data, still supply 4D filling in extra places with zero. ") +
std::string("The points should be defined in physical space. ") +
std::string("Points are transformed in the OPPOSITE direction of images, therefore ") +
std::string("you should pass the inverse of what is needed to warp the images. ") +
std::string("Eg if the image is warped by Affine.mat, you should pass the inverse of Affine.mat ") +
std::string("to transform points defined in the same space as the image. ") +
std::string("If in doubt how to convert coordinates from your files to the space ") +
std::string("required by antsApplyTransformsToPoints try creating/drawing a simple ") +
std::string("label volume with only one voxel set to 1 and all others set to 0. ") +
std::string("Write down the voxel coordinates. Then use ImageMaths LabelStats to find ") +
std::string("out what coordinates for this voxel antsApplyTransformsToPoints is ") +
std::string("expecting. ITK uses a LPS coordinate system. See "
"http://sourceforge.net/p/advants/discussion/840261/thread/2a1e9307/") +
std::string(" ***Or pass in a 2D mha (meta format) binary image file.");
OptionType::Pointer option = OptionType::New();
option->SetLongName("input");
option->SetShortName('i');
option->SetUsageOption(0, "inputFileName");
option->SetDescription(description);
parser->AddOption(option);
}
{
std::string description = std::string("One can output the warped points to a csv file.");
OptionType::Pointer option = OptionType::New();
option->SetLongName("output");
option->SetShortName('o');
option->SetUsageOption(0, "warpedOutputFileName");
option->SetDescription(description);
parser->AddOption(option);
}
{
std::string description = std::string("Several transform options are supported including all ") +
std::string("those defined in the ITK library in addition to ") +
std::string("a deformation field transform. The ordering of ") +
std::string("the transformations follows the ordering specified ") +
std::string("on the command line. An identity transform is pushed ") +
std::string("onto the transformation stack. Each new transform ") +
std::string("encountered on the command line is also pushed onto ") +
std::string("the transformation stack. Then, to warp the input object, ") +
std::string("each point comprising the input object is warped first ") +
std::string("according to the last transform pushed onto the stack ") +
std::string("followed by the second to last transform, etc. until ") +
std::string("the last transform encountered which is the identity ") +
std::string("transform. ") +
std::string("Also, it should be noted that the inverse transform can ") +
std::string("be accommodated with the usual caveat that such an inverse ") +
std::string("must be defined by the specified transform class ");
OptionType::Pointer option = OptionType::New();
option->SetLongName("transform");
option->SetShortName('t');
option->SetUsageOption(0, "transformFileName");
option->SetUsageOption(1, "[transformFileName,useInverse]");
option->SetDescription(description);
parser->AddOption(option);
}
{
std::string description = std::string("Print the help menu (short version).");
OptionType::Pointer option = OptionType::New();
option->SetShortName('h');
option->SetDescription(description);
option->AddFunction(std::string("0"));
parser->AddOption(option);
}
{
std::string description = std::string("Print the help menu.");
OptionType::Pointer option = OptionType::New();
option->SetLongName("help");
option->SetDescription(description);
option->AddFunction(std::string("0"));
parser->AddOption(option);
}
}
// entry point for the library; parameter 'args' is equivalent to 'argv' in (argc,argv) of commandline parameters to
// 'main()'
int
antsApplyTransformsToPoints(std::vector<std::string> args, std::ostream * /*out_stream = nullptr */)
{
// put the arguments coming in as 'args' into standard (argc,argv) format;
// 'args' doesn't have the command name as first, argument, so add it manually;
// 'args' may have adjacent arguments concatenated into one argument,
// which the parser should handle
args.insert(args.begin(), "antsApplyTransformsToPoints");
int argc = args.size();
char ** argv = new char *[args.size() + 1];
for (unsigned int i = 0; i < args.size(); ++i)
{
// allocate space for the string plus a null character
argv[i] = new char[args[i].length() + 1];
std::strncpy(argv[i], args[i].c_str(), args[i].length());
// place the null character in the end
argv[i][args[i].length()] = '\0';
}
argv[argc] = nullptr;
// class to automatically cleanup argv upon destruction
class Cleanup_argv
{
public:
Cleanup_argv(char ** argv_, int argc_plus_one_)
: argv(argv_)
, argc_plus_one(argc_plus_one_)
{}
~Cleanup_argv()
{
for (unsigned int i = 0; i < argc_plus_one; ++i)
{
delete[] argv[i];
}
delete[] argv;
}
private:
char ** argv;
unsigned int argc_plus_one;
};
Cleanup_argv cleanup_argv(argv, argc + 1);
itk::ants::CommandLineParser::Pointer parser = itk::ants::CommandLineParser::New();
parser->SetCommand(argv[0]);
std::string examplestring =
std::string("reads in a csv file with the first D columns defining the spatial location where the spatial location "
"is defined in physical coordinates. the csv file should have a header row. here is an example") +
std::string("\n") + std::string("cat chicken-3.csv ") + std::string("x,y,z,t,label,comment") + std::string("\n") +
std::string("82.5,116.5,0,0,1,this is the breast") + std::string("\n") +
std::string("137.5,35.5,0,0,2,this is the beak") + std::string("\n") +
std::string("antsApplyTransformsToPoints -d 2 -i chicken-3.csv -o test.csv -t [chicken3to4.mat ,1 ]") +
std::string("\n") + std::string("cat test.csv ") + std::string("\n") + std::string("x,y,z,t,label,comment") +
std::string("\n") + std::string("10.8945447481644,162.082675013049,0,0,1,nan") + std::string("\n") +
std::string("7.5367085472988,52.099713111629,0,0,2,nan") + std::string("\n") +
std::string("the nan appears in the last column until the ITK CSV I/O can handle mixed numeric / string types. if "
"your input is fully numeric, all is well.");
std::string mhastring =
std::string("\n\n**** We now can also read / write .mha files.") + std::string("\n") +
std::string("This is a simple binary format (Meta format - look it up!) that is much faster to read/write than csv "
"format.\n Note: To write a mha file, you must also pass an mha file as input.\n");
std::string commandDescription =
std::string("antsApplyTransformsToPoints, applied to an input image, transforms it ") +
std::string("according to a reference image and a transform ") + std::string("(or a set of transforms). ") +
examplestring + mhastring;
parser->SetCommandDescription(commandDescription);
antsApplyTransformsToPointsInitializeCommandLineOptions(parser);
if (parser->Parse(argc, argv) == EXIT_FAILURE)
{
return EXIT_FAILURE;
}
if (argc < 2 ||
(parser->GetOption("help") && (parser->Convert<bool>(parser->GetOption("help")->GetFunction()->GetName()))))
{
parser->PrintMenu(std::cout, 5, false);
if (argc < 2)
{
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
else if (parser->GetOption('h') && (parser->Convert<bool>(parser->GetOption('h')->GetFunction()->GetName())))
{
parser->PrintMenu(std::cout, 5, true);
return EXIT_SUCCESS;
}
unsigned int dimension = 3;
itk::ants::CommandLineParser::OptionType::Pointer dimOption = parser->GetOption("dimensionality");
if (dimOption && dimOption->GetNumberOfFunctions() > 0)
{
dimension = parser->Convert<unsigned int>(dimOption->GetFunction(0)->GetName());
}
else
{
std::cerr << "No -d ( dimensionality ) option is specified. Exiting." << std::endl;
return EXIT_FAILURE;
}
itk::ants::CommandLineParser::OptionType::Pointer precOption = parser->GetOption("precision");
unsigned int myprecision = 0;
if (precOption && precOption->GetNumberOfFunctions() > 0)
{
myprecision = parser->Convert<unsigned int>(precOption->GetFunction(0)->GetName());
}
if (myprecision == 1)
{
switch (dimension)
{
case 2:
{
return antsApplyTransformsToPoints<2, double>(parser);
}
break;
case 3:
{
return antsApplyTransformsToPoints<3, double>(parser);
}
break;
case 4:
{
return antsApplyTransformsToPoints<4, double>(parser);
}
break;
default:
std::cerr << "Unsupported dimension" << std::endl;
return EXIT_FAILURE;
}
}
else
{
switch (dimension)
{
case 2:
{
return antsApplyTransformsToPoints<2, float>(parser);
}
break;
case 3:
{
return antsApplyTransformsToPoints<3, float>(parser);
}
break;
case 4:
{
return antsApplyTransformsToPoints<4, float>(parser);
}
break;
default:
std::cerr << "Unsupported dimension" << std::endl;
return EXIT_FAILURE;
}
}
return EXIT_SUCCESS;
}
} // namespace ants
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