void mitk::LiveWireTool2D::FindHighestGradientMagnitudeByITK(itk::Image<TPixel, VImageDimension> *inputImage,
itk::Index<3> &index,
itk::Index<3> &returnIndex)
{
typedef itk::Image<TPixel, VImageDimension> InputImageType;
typedef typename InputImageType::IndexType IndexType;
unsigned long xMAX = inputImage->GetLargestPossibleRegion().GetSize()[0];
unsigned long yMAX = inputImage->GetLargestPossibleRegion().GetSize()[1];
returnIndex[0] = index[0];
returnIndex[1] = index[1];
returnIndex[2] = 0.0;
double gradientMagnitude = 0.0;
double maxGradientMagnitude = 0.0;
/*
the size and thus the region of 7x7 is only used to calculate the gradient magnitude in that region
not for searching the maximum value
*/
// maximum value in each direction for size
typename InputImageType::SizeType size;
size[0] = 7;
size[1] = 7;
// minimum value in each direction for startRegion
IndexType startRegion;
startRegion[0] = index[0] - 3;
startRegion[1] = index[1] - 3;
if (startRegion[0] < 0)
startRegion[0] = 0;
if (startRegion[1] < 0)
startRegion[1] = 0;
if (xMAX - index[0] < 7)
startRegion[0] = xMAX - 7;
if (yMAX - index[1] < 7)
startRegion[1] = yMAX - 7;
index[0] = startRegion[0] + 3;
index[1] = startRegion[1] + 3;
typename InputImageType::RegionType region;
region.SetSize(size);
region.SetIndex(startRegion);
typedef typename itk::GradientMagnitudeImageFilter<InputImageType, InputImageType> GradientMagnitudeFilterType;
typename GradientMagnitudeFilterType::Pointer gradientFilter = GradientMagnitudeFilterType::New();
gradientFilter->SetInput(inputImage);
gradientFilter->GetOutput()->SetRequestedRegion(region);
gradientFilter->Update();
typename InputImageType::Pointer gradientMagnImage;
gradientMagnImage = gradientFilter->GetOutput();
IndexType currentIndex;
currentIndex[0] = 0;
currentIndex[1] = 0;
// search max (approximate) gradient magnitude
for (int x = -1; x <= 1; ++x)
{
currentIndex[0] = index[0] + x;
for (int y = -1; y <= 1; ++y)
{
currentIndex[1] = index[1] + y;
gradientMagnitude = gradientMagnImage->GetPixel(currentIndex);
// check for new max
if (maxGradientMagnitude < gradientMagnitude)
{
maxGradientMagnitude = gradientMagnitude;
returnIndex[0] = currentIndex[0];
returnIndex[1] = currentIndex[1];
returnIndex[2] = 0.0;
} // end if
} // end for y
currentIndex[1] = index[1];
} // end for x
}
void AddArtifactsToDwiImageFilter< TPixelType >
::GenerateData()
{
if (m_UseConstantRandSeed) // always generate the same random numbers?
m_RandGen->SetSeed(0);
else
m_RandGen->SetSeed();
m_StartTime = clock();
m_StatusText = "Starting simulation\n";
typename InputImageType::Pointer inputImage = static_cast< InputImageType* >( this->ProcessObject::GetInput(0) );
itk::ImageRegion<3> inputRegion = inputImage->GetLargestPossibleRegion();
typename itk::ImageDuplicator<InputImageType>::Pointer duplicator = itk::ImageDuplicator<InputImageType>::New();
duplicator->SetInputImage( inputImage );
duplicator->Update();
typename InputImageType::Pointer outputImage = duplicator->GetOutput();
// is input slize size even?
int xMax=inputRegion.GetSize(0); int yMax=inputRegion.GetSize(1);
if ( xMax%2 == 1 )
xMax += 1;
if ( yMax%2 == 1 )
yMax += 1;
// create slice object
typename SliceType::Pointer slice = SliceType::New();
ImageRegion<2> sliceRegion;
sliceRegion.SetSize(0, xMax);
sliceRegion.SetSize(1, yMax);
slice->SetLargestPossibleRegion( sliceRegion );
slice->SetBufferedRegion( sliceRegion );
slice->SetRequestedRegion( sliceRegion );
slice->Allocate();
slice->FillBuffer(0.0);
ImageRegion<2> upsampledSliceRegion;
if ( m_Parameters.m_SignalGen.m_DoAddGibbsRinging)
{
upsampledSliceRegion.SetSize(0, xMax*2);
upsampledSliceRegion.SetSize(1, yMax*2);
}
m_Parameters.m_SignalGen.m_SignalScale = 1;
m_Parameters.m_SignalGen.m_DoSimulateRelaxation = false;
if ( m_Parameters.m_SignalGen.m_Spikes>0 || m_Parameters.m_SignalGen.m_FrequencyMap.IsNotNull() || m_Parameters.m_SignalGen.m_KspaceLineOffset>0.0 || m_Parameters.m_SignalGen.m_DoAddGibbsRinging || m_Parameters.m_SignalGen.m_EddyStrength>0 || m_Parameters.m_SignalGen.m_CroppingFactor<1.0)
{
ImageRegion<3> croppedRegion = inputRegion; croppedRegion.SetSize(1, croppedRegion.GetSize(1)* m_Parameters.m_SignalGen.m_CroppingFactor);
itk::Point<double,3> shiftedOrigin = inputImage->GetOrigin(); shiftedOrigin[1] += (inputRegion.GetSize(1)-croppedRegion.GetSize(1))*inputImage->GetSpacing()[1]/2;
outputImage = InputImageType::New();
outputImage->SetSpacing( inputImage->GetSpacing() );
outputImage->SetOrigin( shiftedOrigin );
outputImage->SetDirection( inputImage->GetDirection() );
outputImage->SetLargestPossibleRegion( croppedRegion );
outputImage->SetBufferedRegion( croppedRegion );
outputImage->SetRequestedRegion( croppedRegion );
outputImage->SetVectorLength( inputImage->GetVectorLength() );
outputImage->Allocate();
typename InputImageType::PixelType temp;
temp.SetSize(inputImage->GetVectorLength());
temp.Fill(0.0);
outputImage->FillBuffer(temp);
int tempY=croppedRegion.GetSize(1);
tempY += tempY%2;
croppedRegion.SetSize(1, tempY);
m_StatusText += this->GetTime()+" > Adjusting complex signal\n";
if ( m_Parameters.m_SignalGen.m_FrequencyMap.IsNotNull())
m_StatusText += "Simulating distortions\n";
if ( m_Parameters.m_SignalGen.m_DoAddGibbsRinging)
m_StatusText += "Simulating ringing artifacts\n";
if ( m_Parameters.m_SignalGen.m_EddyStrength>0)
m_StatusText += "Simulating eddy currents\n";
if ( m_Parameters.m_SignalGen.m_Spikes>0)
m_StatusText += "Simulating spikes\n";
if ( m_Parameters.m_SignalGen.m_CroppingFactor<1.0)
m_StatusText += "Simulating aliasing artifacts\n";
if ( m_Parameters.m_SignalGen.m_KspaceLineOffset>0)
m_StatusText += "Simulating ghosts\n";
std::vector< unsigned int > spikeVolume;
for (unsigned int i=0; i< m_Parameters.m_SignalGen.m_Spikes; i++)
spikeVolume.push_back(m_RandGen->GetIntegerVariate()%inputImage->GetVectorLength());
std::sort (spikeVolume.begin(), spikeVolume.end());
std::reverse (spikeVolume.begin(), spikeVolume.end());
FiberfoxParameters<double> doubleParam = m_Parameters.CopyParameters<double>();
m_StatusText += "0% 10 20 30 40 50 60 70 80 90 100%\n";
m_StatusText += "|----|----|----|----|----|----|----|----|----|----|\n*";
unsigned long lastTick = 0;
boost::progress_display disp(inputImage->GetVectorLength()*inputRegion.GetSize(2));
for (unsigned int g=0; g<inputImage->GetVectorLength(); g++)
{
std::vector< unsigned int > spikeSlice;
while (!spikeVolume.empty() && spikeVolume.back()==g)
{
spikeSlice.push_back(m_RandGen->GetIntegerVariate()%inputImage->GetLargestPossibleRegion().GetSize(2));
spikeVolume.pop_back();
}
std::sort (spikeSlice.begin(), spikeSlice.end());
std::reverse (spikeSlice.begin(), spikeSlice.end());
for (unsigned int z=0; z<inputRegion.GetSize(2); z++)
{
if (this->GetAbortGenerateData())
{
m_StatusText += "\n"+this->GetTime()+" > Simulation aborted\n";
return;
}
std::vector< SliceType::Pointer > compartmentSlices;
// extract slice from channel g
for (unsigned int y=0; y<inputRegion.GetSize(1); y++)
for (unsigned int x=0; x<inputRegion.GetSize(0); x++)
{
typename SliceType::IndexType index2D;
index2D[0]=x; index2D[1]=y;
typename InputImageType::IndexType index3D;
index3D[0]=x; index3D[1]=y; index3D[2]=z;
SliceType::PixelType pix2D = (SliceType::PixelType)inputImage->GetPixel(index3D)[g];
slice->SetPixel(index2D, pix2D);
}
if ( m_Parameters.m_SignalGen.m_DoAddGibbsRinging)
{
itk::ResampleImageFilter<SliceType, SliceType>::Pointer resampler = itk::ResampleImageFilter<SliceType, SliceType>::New();
resampler->SetInput(slice);
resampler->SetOutputParametersFromImage(slice);
resampler->SetSize(upsampledSliceRegion.GetSize());
resampler->SetOutputSpacing(slice->GetSpacing()/2);
itk::NearestNeighborInterpolateImageFunction<SliceType, double>::Pointer nn_interpolator
= itk::NearestNeighborInterpolateImageFunction<SliceType, double>::New();
resampler->SetInterpolator(nn_interpolator);
resampler->Update();
typename SliceType::Pointer upslice = resampler->GetOutput();
compartmentSlices.push_back(upslice);
}
else
compartmentSlices.push_back(slice);
// fourier transform slice
typename ComplexSliceType::Pointer fSlice;
itk::Size<2> outSize; outSize.SetElement(0, xMax); outSize.SetElement(1, croppedRegion.GetSize()[1]);
typename itk::KspaceImageFilter< SliceType::PixelType >::Pointer idft = itk::KspaceImageFilter< SliceType::PixelType >::New();
idft->SetUseConstantRandSeed(m_UseConstantRandSeed);
idft->SetParameters(&doubleParam);
idft->SetCompartmentImages(compartmentSlices);
idft->SetDiffusionGradientDirection( m_Parameters.m_SignalGen.GetGradientDirection(g));
idft->SetZ((double)z-(double)inputRegion.GetSize(2)/2.0);
int numSpikes = 0;
while (!spikeSlice.empty() && spikeSlice.back()==z)
{
numSpikes++;
spikeSlice.pop_back();
}
idft->SetSpikesPerSlice(numSpikes);
idft->Update();
fSlice = idft->GetOutput();
// inverse fourier transform slice
typename ComplexSliceType::Pointer newSlice;
typename itk::DftImageFilter< SliceType::PixelType >::Pointer dft = itk::DftImageFilter< SliceType::PixelType >::New();
dft->SetInput(fSlice);
dft->Update();
newSlice = dft->GetOutput();
// put slice back into channel g
for (unsigned int y=0; y<outputImage->GetLargestPossibleRegion().GetSize(1); y++)
for (unsigned int x=0; x<outputImage->GetLargestPossibleRegion().GetSize(0); x++)
{
typename InputImageType::IndexType index3D;
index3D[0]=x; index3D[1]=y; index3D[2]=z;
typename InputImageType::PixelType pix3D = outputImage->GetPixel(index3D);
typename ComplexSliceType::IndexType index2D;
index2D[0]=x; index2D[1]=y;
ComplexSliceType::PixelType cPix = newSlice->GetPixel(index2D);
double signal = sqrt(cPix.real()*cPix.real()+cPix.imag()*cPix.imag());
if (signal>0)
signal = floor(signal+0.5);
else
signal = ceil(signal-0.5);
pix3D[g] = signal;
outputImage->SetPixel(index3D, pix3D);
}
++disp;
unsigned long newTick = 50*disp.count()/disp.expected_count();
for (unsigned int tick = 0; tick<(newTick-lastTick); tick++)
m_StatusText += "*";
lastTick = newTick;
}
}
m_StatusText += "\n\n";
}
if ( m_Parameters.m_NoiseModel!=NULL)
{
m_StatusText += this->GetTime()+" > Adding noise\n";
m_StatusText += "0% 10 20 30 40 50 60 70 80 90 100%\n";
m_StatusText += "|----|----|----|----|----|----|----|----|----|----|\n*";
unsigned long lastTick = 0;
ImageRegionIterator<InputImageType> it1 (outputImage, outputImage->GetLargestPossibleRegion());
boost::progress_display disp(outputImage->GetLargestPossibleRegion().GetNumberOfPixels());
while(!it1.IsAtEnd())
{
if (this->GetAbortGenerateData())
{
m_StatusText += "\n"+this->GetTime()+" > Simulation aborted\n";
return;
}
++disp;
unsigned long newTick = 50*disp.count()/disp.expected_count();
for (unsigned int tick = 0; tick<(newTick-lastTick); tick++)
m_StatusText += "*";
lastTick = newTick;
typename InputImageType::PixelType signal = it1.Get();
m_Parameters.m_NoiseModel->AddNoise(signal);
it1.Set(signal);
++it1;
}
m_StatusText += "\n\n";
}
this->SetNthOutput(0, outputImage);
m_StatusText += "Finished simulation\n";
m_StatusText += "Simulation time: "+GetTime();
}