Slicer  4.8
Slicer is a multi-platform, free and open source software package for visualization and medical image computing
vtkDiffusionTensorMathematics.h
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1 /*=auto=========================================================================
2 
3  Portions (c) Copyright 2005 Brigham and Women's Hospital (BWH) All Rights Reserved.
4 
5  See COPYRIGHT.txt
6  or http://www.slicer.org/copyright/copyright.txt for details.
7 
8  Program: 3D Slicer
9  Module: $RCSfile: vtkDiffusionTensorMathematics.h,v $
10  Date: $Date: 2006/12/19 17:14:44 $
11  Version: $Revision: 1.20 $
12 
13 =========================================================================auto=*/
18 //
23 //
24 
25 
26 #ifndef __vtkDiffusionTensorMathematics_h
27 #define __vtkDiffusionTensorMathematics_h
28 
29 // vtkTeem includes
30 #include "vtkTeemConfigure.h"
31 
32 // VTK includes
33 #include <vtkThreadedImageAlgorithm.h>
34 
35 class vtkMatrix4x4;
36 class vtkImageData;
37 class VTK_Teem_EXPORT vtkDiffusionTensorMathematics : public vtkThreadedImageAlgorithm
38 {
39 public:
40  static vtkDiffusionTensorMathematics *New();
41  vtkTypeMacro(vtkDiffusionTensorMathematics,vtkThreadedImageAlgorithm);
42  void PrintSelf(ostream& os, vtkIndent indent) VTK_OVERRIDE;
43 
45  enum
46  {
47  VTK_TENS_TRACE = 0,
48  VTK_TENS_DETERMINANT = 1,
49  VTK_TENS_RELATIVE_ANISOTROPY = 2,
50  VTK_TENS_FRACTIONAL_ANISOTROPY = 3,
51  VTK_TENS_MAX_EIGENVALUE = 4,
52  VTK_TENS_MID_EIGENVALUE = 5,
53  VTK_TENS_MIN_EIGENVALUE = 6,
54  VTK_TENS_LINEAR_MEASURE = 7,
55  VTK_TENS_PLANAR_MEASURE = 8,
56  VTK_TENS_SPHERICAL_MEASURE = 9,
57  VTK_TENS_COLOR_ORIENTATION = 10,
58  VTK_TENS_D11 = 11,
59  VTK_TENS_D22 = 12,
60  VTK_TENS_D33 = 13,
61  VTK_TENS_MODE = 14,
62  VTK_TENS_COLOR_MODE =15,
63  VTK_TENS_MAX_EIGENVALUE_PROJX = 16,
64  VTK_TENS_MAX_EIGENVALUE_PROJY = 17,
65  VTK_TENS_MAX_EIGENVALUE_PROJZ = 18,
66  VTK_TENS_RAI_MAX_EIGENVEC_PROJX = 19,
67  VTK_TENS_RAI_MAX_EIGENVEC_PROJY = 20,
68  VTK_TENS_RAI_MAX_EIGENVEC_PROJZ = 21,
69  VTK_TENS_MAX_EIGENVEC_PROJX = 22,
70  VTK_TENS_MAX_EIGENVEC_PROJY = 23,
71  VTK_TENS_MAX_EIGENVEC_PROJZ = 24,
72  VTK_TENS_PARALLEL_DIFFUSIVITY = 25,
73  VTK_TENS_PERPENDICULAR_DIFFUSIVITY = 26,
74  VTK_TENS_COLOR_ORIENTATION_MIDDLE_EIGENVECTOR = 27,
75  VTK_TENS_COLOR_ORIENTATION_MIN_EIGENVECTOR = 28,
76  VTK_TENS_MEAN_DIFFUSIVITY = 29
77  };
80  vtkGetMacro(Operation,int);
81  vtkSetClampMacro(Operation,int, VTK_TENS_TRACE, VTK_TENS_MEAN_DIFFUSIVITY);
82 
86  {this->SetOperation(VTK_TENS_TRACE);};
87 
91  {this->SetOperation(VTK_TENS_DETERMINANT);};
92 
96  {this->SetOperation(VTK_TENS_RELATIVE_ANISOTROPY);};
98  {this->SetOperation(VTK_TENS_FRACTIONAL_ANISOTROPY);};
100  {this->SetOperation(VTK_TENS_LINEAR_MEASURE);};
102  {this->SetOperation(VTK_TENS_PLANAR_MEASURE);};
104  {this->SetOperation(VTK_TENS_SPHERICAL_MEASURE);};
108  {this->SetOperation(VTK_TENS_MODE);};
110  {this->SetOperation(VTK_TENS_PARALLEL_DIFFUSIVITY);};
112  {this->SetOperation(VTK_TENS_PERPENDICULAR_DIFFUSIVITY);};
114  {this->SetOperation(VTK_TENS_MEAN_DIFFUSIVITY);};
115 
119  {this->SetOperation(VTK_TENS_MAX_EIGENVALUE);};
121  {this->SetOperation(VTK_TENS_MID_EIGENVALUE);};
123  {this->SetOperation(VTK_TENS_MIN_EIGENVALUE);};
124 
128  {this->SetOperation(VTK_TENS_MAX_EIGENVALUE_PROJX);};
130  {this->SetOperation(VTK_TENS_MAX_EIGENVALUE_PROJY);};
132  {this->SetOperation(VTK_TENS_MAX_EIGENVALUE_PROJZ);};
133 
137  {this->SetOperation(VTK_TENS_RAI_MAX_EIGENVEC_PROJX);}
139  {this->SetOperation(VTK_TENS_RAI_MAX_EIGENVEC_PROJY);}
141  {this->SetOperation(VTK_TENS_RAI_MAX_EIGENVEC_PROJZ);}
142 
146  {this->SetOperation(VTK_TENS_MAX_EIGENVEC_PROJX);}
148  {this->SetOperation(VTK_TENS_MAX_EIGENVEC_PROJY);}
150  {this->SetOperation(VTK_TENS_MAX_EIGENVEC_PROJZ);}
151 
152 
156  {this->SetOperation(VTK_TENS_D11);};
158  {this->SetOperation(VTK_TENS_D22);};
160  {this->SetOperation(VTK_TENS_D33);};
161 
167  {this->SetOperation(VTK_TENS_COLOR_ORIENTATION);};
168 
175  {this->SetOperation(VTK_TENS_COLOR_MODE);};
176 
180  vtkSetMacro(ScaleFactor,double);
181  vtkGetMacro(ScaleFactor,double);
182 
185  vtkSetMacro(ExtractEigenvalues,int);
186  vtkBooleanMacro(ExtractEigenvalues,int);
187  vtkGetMacro(ExtractEigenvalues,int);
188 
193  //
196  //
207  //
208  virtual void SetTensorRotationMatrix(vtkMatrix4x4*);
209  vtkGetObjectMacro(TensorRotationMatrix, vtkMatrix4x4);
210 
214  vtkBooleanMacro(MaskWithScalars, int);
215  vtkSetMacro(MaskWithScalars, int);
216  vtkGetMacro(MaskWithScalars, int);
217 
218  vtkBooleanMacro(FixNegativeEigenvalues, int);
219  vtkSetMacro(FixNegativeEigenvalues, int);
220  vtkGetMacro(FixNegativeEigenvalues, int);
221 
224  virtual void SetScalarMask(vtkImageData*);
225  vtkGetObjectMacro(ScalarMask, vtkImageData);
226 
229  vtkSetMacro(MaskLabelValue, int);
230  vtkGetMacro(MaskLabelValue, int);
231 
233  static void ModeToRGB(double Mode, double FA,
234  double &R, double &G, double &B);
235 
236  static void RGBToIndex(double R, double G,
237  double B, double &index);
238 
241  static int FixNegativeEigenvaluesMethod(double w[3]);
242  static double Determinant(double D[3][3]);
243  static double Trace(double D[3][3]);
244  static double Trace(double w[3]);
245  static double RelativeAnisotropy(double w[3]);
246  static double FractionalAnisotropy(double w[3]);
247  static double LinearMeasure(double w[3]);
248  static double PlanarMeasure(double w[3]);
249  static double SphericalMeasure(double w[3]);
250  static double MaxEigenvalue(double w[3]);
251  static double MiddleEigenvalue(double w[3]);
252  static double ParallelDiffusivity(double w[3]);
253  static double PerpendicularDiffusivity(double w[3]);
254  static double MeanDiffusivity(double w[3]);
255  static double MinEigenvalue(double w[3]);
256  static double RAIMaxEigenvecX(double **v, double w[3]);
257  static double RAIMaxEigenvecY(double **v, double w[3]);
258  static double RAIMaxEigenvecZ(double **v, double w[3]);
259  static double MaxEigenvecX(double **v, double w[3]);
260  static double MaxEigenvecY(double **v, double w[3]);
261  static double MaxEigenvecZ(double **v, double w[3]);
262  static double MaxEigenvalueProjectionX(double **v, double w[3]);
263  static double MaxEigenvalueProjectionY(double **v, double w[3]);
264  static double MaxEigenvalueProjectionZ(double **v, double w[3]);
265  static double Mode(double w[3]);
266  static void ColorByMode(double w[3], double &R,double &G, double &B);
267 
268  //Description
269  //Wrap function to teem eigen solver
270  static int TeemEigenSolver(double **m, double *w, double **v);
271  void ComputeTensorIncrements(vtkImageData *imageData, vtkIdType incr[3]);
272 
273 protected:
276 
277  int Operation;
278  double ScaleFactor;
280 
282  vtkImageData *ScalarMask;
284 
285  vtkMatrix4x4 *TensorRotationMatrix;
287 
288  virtual int RequestInformation (vtkInformation*,
289  vtkInformationVector**,
290  vtkInformationVector*) VTK_OVERRIDE;
291 
292  virtual void ThreadedRequestData(vtkInformation *request,
293  vtkInformationVector **inputVector,
294  vtkInformationVector *outputVector,
295  vtkImageData ***inData,
296  vtkImageData **outData,
297  int extent[6], int threadId) VTK_OVERRIDE;
298 
299  int FillInputPortInformation(int port, vtkInformation* info) VTK_OVERRIDE;
300 
301  // Reimplemented to delete the tensor array of the output.
302  virtual int RequestData(vtkInformation* request,
303  vtkInformationVector** inputVector,
304  vtkInformationVector* outputVector) VTK_OVERRIDE;
305 private:
307  void operator=(const vtkDiffusionTensorMathematics&);
308 };
309 
310 #endif
311 
312 
313 
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315 
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318 
319 
320 
321 
322 
323 
void SetOperationToDeterminant()
Output the determinant.
void SetOperationToMaxEigenvalueProjectionX()
Output Maxeigenvalue*Maxeigenvec_projection also known as L1Z.
int MaskWithScalars
Boolean controls eigenfunction extraction.
void SetOperationToRelativeAnisotropy()
Output various anisotropy and shape measures.
void SetOperationToMaxEigenvecX()
Output Relative_anisotropy*Maxeigenvec_projection also known as L1z.
double ScaleFactor
math operation to perform
void SetOperationToRAIMaxEigenvecX()
Output Relative_anisotropy*Maxeigenvec_projection also known as L1z.
void SetOperationToTrace()
Output the trace (sum of eigenvalues = sum along diagonal)
int ExtractEigenvalues
Scale factor for output scalars.
void SetOperationToMaxEigenvalue()
Output a selected eigenvalue.
void SetOperationToD11()
Output a matrix (tensor) component.