1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236
|
/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkExponentialDeformationFieldImageFilter.txx
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.
=========================================================================*/
#ifndef __itkExponentialDeformationFieldImageFilter_txx
#define __itkExponentialDeformationFieldImageFilter_txx
#include "itkExponentialDeformationFieldImageFilter.h"
#include "itkProgressReporter.h"
#include "itkImageRegionConstIterator.h"
namespace itk
{
/**
* Initialize new instance
*/
template <class TInputImage, class TOutputImage>
ExponentialDeformationFieldImageFilter<TInputImage, TOutputImage>
::ExponentialDeformationFieldImageFilter()
{
m_AutomaticNumberOfIterations = true;
m_MaximumNumberOfIterations = 20;
m_ComputeInverse = false;
m_Divider = DivideByConstantType::New();
m_Caster = CasterType::New();
m_Warper = VectorWarperType::New();
FieldInterpolatorPointer VectorInterpolator =
FieldInterpolatorType::New();
m_Warper->SetInterpolator(VectorInterpolator);
m_Adder = AdderType::New();
m_Adder->InPlaceOn();
}
/**
* Print out a description of self
*
* \todo Add details about this class
*/
template <class TInputImage, class TOutputImage>
void
ExponentialDeformationFieldImageFilter<TInputImage, TOutputImage>
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os,indent);
os << indent << "AutomaticNumberOfIterations: "
<< m_AutomaticNumberOfIterations << std::endl;
os << indent << "MaximumNumberOfIterations: "
<< m_MaximumNumberOfIterations << std::endl;
os << indent << "ComputeInverse: "
<< (m_ComputeInverse?"On":"Off") << std::endl;
return;
}
/**
* GenerateData
*/
template <class TInputImage, class TOutputImage>
void
ExponentialDeformationFieldImageFilter<TInputImage,TOutputImage>
::GenerateData()
{
itkDebugMacro(<<"Actually executing");
InputImageConstPointer inputPtr = this->GetInput();
unsigned int numiter = 0;
if( m_AutomaticNumberOfIterations )
{
// Compute a good number of iterations based on the rationale
// that the initial first order approximation,
// exp(Phi/2^N) = Phi/2^N,
// needs to be diffeomorphic. For this we simply impose to have
// max(norm(Phi)/2^N) < 0.5*pixelspacing
InputPixelRealValueType maxnorm2 = 0.0;
double minpixelspacing = inputPtr->GetSpacing()[0];
for (unsigned int i = 1; i<itkGetStaticConstMacro(ImageDimension); ++i)
{
if ( inputPtr->GetSpacing()[i] < minpixelspacing )
{
minpixelspacing = inputPtr->GetSpacing()[i];
}
}
typedef ImageRegionConstIterator<InputImageType> InputConstIterator;
InputConstIterator InputIt = InputConstIterator(
inputPtr, inputPtr->GetRequestedRegion());
for( InputIt.GoToBegin(); !InputIt.IsAtEnd(); ++InputIt )
{
InputPixelRealValueType norm2 = InputIt.Get().GetSquaredNorm();
if (norm2>maxnorm2) maxnorm2=norm2;
}
// Divide the norm by the minimum pixel spacing
maxnorm2 /= vnl_math_sqr(minpixelspacing);
InputPixelRealValueType numiterfloat = 2.0 +
0.5 * vcl_log(maxnorm2)/vnl_math::ln2;
if( numiterfloat >= 0.0 )
{
// take the ceil and threshold
numiter = vnl_math_min(
static_cast<unsigned int>(numiterfloat + 1.0),
m_MaximumNumberOfIterations );
}
else
{
// numiter will keep the zero to which it was initialized
}
}
else
{
numiter = m_MaximumNumberOfIterations;
}
ProgressReporter progress(this, 0, numiter+1, numiter+1);
if( numiter == 0 )
{
if ( !this->m_ComputeInverse )
{
m_Caster->SetInput(inputPtr);
m_Caster->GraftOutput(this->GetOutput());
m_Caster->Update();
// Region passing stuff
this->GraftOutput( m_Caster->GetOutput() );
}
else
{
// We only need the opposite. Here we use the
// divider for simplicity. If a filter appears in ITK
// to compute the opposite, we should use it.
m_Divider->SetInput(inputPtr);
m_Divider->SetConstant( static_cast<InputPixelRealValueType>(-1) );
m_Divider->GraftOutput(this->GetOutput());
m_Divider->Update();
// Region passing stuff
this->GraftOutput( m_Divider->GetOutput() );
}
this->GetOutput()->Modified();
progress.CompletedPixel();
return;
}
// Get the first order approximation (division by 2^numiter)
m_Divider->SetInput(inputPtr);
m_Divider->GraftOutput( this->GetOutput() );
if ( !this->m_ComputeInverse )
{
m_Divider->SetConstant( static_cast<InputPixelRealValueType>(1<<numiter) );
}
else
{
m_Divider->SetConstant( -static_cast<InputPixelRealValueType>(1<<numiter) );
}
m_Divider->Update();
// Region passing stuff
this->GraftOutput( m_Divider->GetOutput() );
this->GetOutput()->Modified();
progress.CompletedPixel();
// Do the iterative composition of the vector field
m_Warper->SetOutputOrigin(inputPtr->GetOrigin());
m_Warper->SetOutputSpacing(inputPtr->GetSpacing());
m_Warper->SetOutputDirection(inputPtr->GetDirection());
for( unsigned int i=0; i<numiter; i++ )
{
m_Warper->SetInput(this->GetOutput());
m_Warper->SetDeformationField(this->GetOutput());
m_Warper->GetOutput()->SetRequestedRegion(
this->GetOutput()->GetRequestedRegion() );
m_Warper->Update();
OutputImagePointer warpedIm = m_Warper->GetOutput();
warpedIm->DisconnectPipeline();
// Remember we chose to use an inplace adder
m_Adder->SetInput1(this->GetOutput());
m_Adder->SetInput2(warpedIm);
m_Adder->GetOutput()->SetRequestedRegion(
this->GetOutput()->GetRequestedRegion() );
m_Adder->Update();
// Region passing stuff
this->GraftOutput( m_Adder->GetOutput() );
// Make a call to modified. This seems only necessary for
// a non-inplace adder but it doesn't hurt anyhow.
this->GetOutput()->Modified();
progress.CompletedPixel();
}
}
} // end namespace itk
#endif
|