File: itkFEMScatteredDataPointSetToImageFilter.h

package info (click to toggle)
insighttoolkit5 5.4.3-5
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid, trixie
  • size: 704,384 kB
  • sloc: cpp: 783,592; ansic: 628,724; xml: 44,704; fortran: 34,250; python: 22,874; sh: 4,078; pascal: 2,636; lisp: 2,158; makefile: 464; yacc: 328; asm: 205; perl: 203; lex: 146; tcl: 132; javascript: 98; csh: 81
file content (323 lines) | stat: -rw-r--r-- 11,850 bytes parent folder | download
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
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
/*=========================================================================
 *
 *  Copyright NumFOCUS
 *
 *  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
 *
 *         https://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.
 *
 *=========================================================================*/

#ifndef itkFEMScatteredDataPointSetToImageFilter_h
#define itkFEMScatteredDataPointSetToImageFilter_h

#include "itkPointSetToImageFilter.h"
#include "itkVectorContainer.h"
#include "vnl/vnl_matrix.h"

#include "itkMesh.h"
#include "itkFEMObject.h"
#include "itkFEMElement3DC0LinearTetrahedronStrain.h"
#include "itkFEMElement3DC0LinearHexahedronStrain.h"
#include "itkFEMElement2DC0LinearTriangularStrain.h"
#include "itkFEMElement2DC0LinearQuadrilateralStrain.h"
#include "itkFEMElement2DC0LinearQuadrilateralMembrane.h"
#include "itkFEMRobustSolver.h"
#include "itkFEMLoadNoisyLandmark.h"
#include "itkImageToRectilinearFEMObjectFilter.h"
#include "itkTriangleCell.h"
#include "itkTetrahedronCell.h"
#include "itkQuadrilateralCell.h"
#include "itkHexahedronCell.h"

namespace itk
{
namespace fem
{
/** \class FEMScatteredDataPointSetToImageFilter
 * \brief Scattered data approximation to interpolation
 * in the presence of outliers
 *
 * Given a 2- or 3-D scattered and noisy data, this filter is able to approximate
 * the data while rejecting outliers, and then it advances toward interpolation.
 *
 * This filter also takes the confidence and structural information into account,
 * if users can provide a scalar to represent the confidence and a tensor
 * to represent the structural information for each feature point.
 *
 * This filter requires a point set, of which each point is associated with a
 * 2-D or 3-D displacement, as input, and outputs a deformation field. Two
 * optional point sets are supported.
 * Confidence point set: this point set defines the confidence associated with
 * each point, which will make the solver behavior like a weighted Least Square
 * Tensor point set: this point set defines a tensor associated with each point,
 * such as a structural tensor.
 *
 * The purpose of this filter is to facilitate the use of the FEMRobustSolver,
 * which does the concrete work on finding the solution. See FEMRobustSolver for
 * details.
 *
   \code

    const unsigned int ParametricDimension = 3;
    const unsigned int DataDimension = 3;

    using PixelType = int;
    using InputImageType = itk::Image<PixelType, ParametricDimension>;
    using RealType = float;
    using VectorType = itk::Vector<RealType, DataDimension>;
    using MatrixType = itk::Matrix<RealType, DataDimension,
    DataDimension>;
    using VectorImageType = itk::Image<VectorType, ParametricDimension>;
    using PointSetType = itk::PointSet <VectorType,
    ParametricDimension>;

    using TensorPointSetType = itk::PointSet <MatrixType,
     ParametricDimension>;

    using ConfidencePointSetType = itk::PointSet <RealType, ParametricDimension>;


    using MeshType = itk::Mesh< VectorType, ParametricDimension >;

    using FilterType = itk::FEMScatteredDataPointSetToImageFilter
    <PointSetType, MeshType, VectorImageType,
    ConfidencePointSetType, TensorPointSetType>;

    auto filter = FilterType::New();

    filter->SetInput(displacementPointSet);
    filter->SetConfidencePointSet(confidencePointSet); //optional
    filter->SetTensorPointSet(tensorPointSet); //optional
    filter->SetMesh(aITKMesh);
    filter->Update();

    DeformationField::Pointer = filter->GetOutput();

   \endcode
 *
 * \author Yixun Liu
 *
 * \par REFERENCE
 * O. Clatz, H. Delingette, I.-F. Talos, A. Golby, R. Kikinis, F. Jolesz,
 * N. Ayache, and S. Warfield, "Robust non-rigid registration to capture brain
 * shift from intra-operative MRI", IEEE Trans. Med. Imag.,
 * 24(11);1417-27, 2005.
 *
 * \par REFERENCE
 * Yixun Liu, Andriy Fedorov, Ron Kikinis and Nikos Chrisochoides,
 * "Real-time Non-rigidRegistration of Medical Images on a Cooperative Parallel
 * Architecture", IEEE International Conference on Bioinformatics & Biomedicine,
 * pp. 401-404, November 2009.
 *
 * \sa FEMRobustSolver
 *
 * \ingroup ITKFEM
 */

template <typename TInputPointSet,
          typename TInputMesh,
          typename TOutputImage,
          typename TInputConfidencePointSet,
          typename TInputTensorPointSet>
class ITK_TEMPLATE_EXPORT FEMScatteredDataPointSetToImageFilter
  : public PointSetToImageFilter<TInputPointSet, TOutputImage>
{
public:
  ITK_DISALLOW_COPY_AND_MOVE(FEMScatteredDataPointSetToImageFilter);

  using Self = FEMScatteredDataPointSetToImageFilter;
  using Superclass = PointSetToImageFilter<TInputPointSet, TOutputImage>;
  using Pointer = SmartPointer<Self>;
  using ConstPointer = SmartPointer<const Self>;

  /** Method for creation through the object factory. */
  itkNewMacro(Self);

  /** \see LightObject::GetNameOfClass() */
  itkOverrideGetNameOfClassMacro(FEMScatteredDataPointSetToImageFilter);

  /** Extract dimension from the output image. */
  static constexpr unsigned int ImageDimension = TOutputImage::ImageDimension;

  /** Displacement point set type alias support */
  using PointSetType = TInputPointSet;
  using PointType = typename PointSetType::PointType;
  using PointsContainer = typename PointSetType::PointsContainer;
  using PointsIterator = typename PointsContainer::ConstIterator;
  using PointDataType = typename PointSetType::PixelType;
  using PointDataContainerType = typename PointSetType::PointDataContainer;
  using PointDataIterator = typename PointDataContainerType::ConstIterator;

  /** Confidence point set type alias support */
  using ConfidencePointSetType = TInputConfidencePointSet;
  using ConfidencePointsIterator = typename ConfidencePointSetType::PointsContainer::ConstIterator;
  using ConfidencePointDataType = typename ConfidencePointSetType::PixelType;
  using ConfidencePointDataContainerType = typename ConfidencePointSetType::PointDataContainer;

  /** Tensor point set type alias support */
  using TensorPointSetType = TInputTensorPointSet;
  using TensorPointsIterator = typename TensorPointSetType::PointsContainer::ConstIterator;
  using TensorPointDataType = typename TensorPointSetType::PixelType;
  using TensorPointDataContainerType = typename TensorPointSetType::PointDataContainer;
  using TensorPointDataIterator = typename TensorPointDataContainerType::Iterator;

  /** Mesh type alias support */
  using MeshType = TInputMesh;
  using CellType = typename MeshType::CellType;
  using CellAutoPointer = typename CellType::CellAutoPointer;
  using CellsContainer = typename MeshType::CellsContainer;
  using CellIterator = typename CellsContainer::ConstIterator;

  using TriangleType = TriangleCell<CellType>;
  using TetrahedronType = TetrahedronCell<CellType>;
  using QuadrilateralType = QuadrilateralCell<CellType>;
  using HexahedronType = HexahedronCell<CellType>;
  using PointIdIterator = typename CellType::PointIdIterator;

  /** Image type alias support */
  using ImageType = TOutputImage;
  using PixelType = typename ImageType::PixelType;
  using RegionType = typename ImageType::RegionType;
  using SizeType = typename ImageType::SizeType;
  using IndexType = typename ImageType::IndexType;
  using SpacingType = typename ImageType::SpacingType;
  using ContinuousIndexType = ContinuousIndex<SpacePrecisionType, ImageDimension>;

  using ImageToRectilinearFEMObjectFilterType = ImageToRectilinearFEMObjectFilter<ImageType>;

  /** FEMObject type alias support */
  using FEMObjectType = FEMObject<ImageDimension>;

  /** FEM solver type alias support */
  using FEMSolverType = RobustSolver<ImageDimension>;

  /** FEM element type alias support */
  using FEMTetrahedronType = Element3DC0LinearTetrahedronStrain;
  using FEMHexahedronType = Element3DC0LinearHexahedronStrain;
  using FEM2DTriangleType = Element2DC0LinearTriangularStrain;
  using FEM2DQuadrilateralType = Element2DC0LinearQuadrilateralStrain;

  /** FEM node type alias support */
  using NodeType = Element::Node;

  /** FEM Load type alias support */
  using LoadType = LoadNoisyLandmark;

  /** FEM material type alias support */
  using MaterialType = MaterialLinearElasticity;
  using MaterialPointerType = MaterialType::Pointer;

  /** FEM element type alias support */
  using FEMVectorType = Element::VectorType;
  using FEMMatrixType = Element::MatrixType;

  /** FEM container type alias support */
  using LoadContainerType = typename FEMObjectType::LoadContainerType;
  using NodeContainerType = typename FEMObjectType::NodeContainerType;
  using ElementContainerType = typename FEMObjectType::ElementContainerType;
  using MaterialContainerType = typename FEMObjectType::MaterialContainerType;

  /** Helper functions */
  itkSetConstObjectMacro(ConfidencePointSet, ConfidencePointSetType);

  itkSetConstObjectMacro(TensorPointSet, TensorPointSetType);

  itkSetObjectMacro(Mesh, MeshType);
  itkGetModifiableObjectMacro(Mesh, MeshType);

  itkSetObjectMacro(FEMSolver, FEMSolverType);
  itkGetModifiableObjectMacro(FEMSolver, FEMSolverType);

  /** Get/Set the number of voxels/pixels in each dimension used during the mesh generation */
  itkGetConstReferenceMacro(PixelsPerElement, ContinuousIndexType);
  itkSetMacro(PixelsPerElement, ContinuousIndexType);

  /** Set/Get the spacing of the rectilinear element */
  void
  SetElementSpacing(const SpacingType & elementSpacing);
  itkGetConstReferenceMacro(SpacingPerElement, SpacingType);

  /** Get the number of element in each dimension of the generated mesh */
  itkGetConstReferenceMacro(NumberOfElements, SizeType);

protected:
  FEMScatteredDataPointSetToImageFilter();
  ~FEMScatteredDataPointSetToImageFilter() override;

  /** Generate 2D/3D rectilinear mesh */
  void
  GenerateRectilinearMesh();

  /** Generate a 2D quadrilateral mesh */
  void
  Generate2DQuadrilateralMesh();

  /** generate 3D hexahedral mesh */
  void
  Generate3DHexahedralMesh();

  /** Initialize FEMObject from a mesh and feature points */
  void
  InitializeFEMObject(FEMObjectType * femObject);

  /** Initialize Materials */
  void
  InitializeMaterials(FEMObjectType * femObject);

  /** Initialize Nodes */
  void
  InitializeNodes(FEMObjectType * femObject);

  /** Initialize Elements */
  void
  InitializeElements(FEMObjectType * femObject);

  /** Initialize Loads */
  void
  InitializeLoads(FEMObjectType * femObject);

  /** Run the solver and call ProduceDeformationField to produce deformation field */
  void
  GenerateData() override;

  void
  ProduceDeformationField();

  void
  PrintSelf(std::ostream & os, Indent indent) const override;

private:
  typename FEMObjectType::Pointer      m_FEMObject{};
  typename FEMSolverType::Pointer      m_FEMSolver{};
  typename FEMSolverType::ConstPointer m_FEMDeformedObject{};
  typename MeshType::Pointer           m_Mesh{};

  typename ConfidencePointSetType::ConstPointer m_ConfidencePointSet{};
  typename TensorPointSetType::ConstPointer     m_TensorPointSet{};

  /** Rectilinear mesh */
  SizeType            m_NumberOfElements{};
  ContinuousIndexType m_PixelsPerElement{};
  SpacingType         m_SpacingPerElement{};

  /** Material */
  MaterialPointerType m_Material{};
};

} // end namespace fem
} // end namespace itk

#ifndef ITK_MANUAL_INSTANTIATION
#  include "itkFEMScatteredDataPointSetToImageFilter.hxx"
#endif

#endif // itkFEMScatteredDataPointSetToImageFilter_h