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cxBronchoscopyRegistration.cpp
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1 /*=========================================================================
2 This file is part of CustusX, an Image Guided Therapy Application.
3 
4 Copyright (c) 2008-2014, SINTEF Department of Medical Technology
5 All rights reserved.
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33 #include <vtkPointData.h>
34 #include <vtkPolyData.h>
35 #include <vtkPolyDataWriter.h>
36 #include <vtkCellArray.h>
37 #include <vtkMatrix4x4.h>
38 #include <vtkLinearTransform.h>
39 #include <vtkLandmarkTransform.h>
40 #include "cxTransform3D.h"
41 #include "cxVector3D.h"
42 #include "cxLogger.h"
43 #include <boost/math/special_functions/fpclassify.hpp> // isnan
44 
45 namespace cx
46 {
47 
48 
50  mCenterlineProcessed(false),
51  mBranchListPtr(new BranchList)
52 {
53 
54 }
55 
57 // To avoid having too many tracking data samples in the registration,
58 // we are only including tracking data with a distance to last included
59 // tracking position of more than 1 mm.
60 {
61  M4Vector TnavigationIncluded;
62  if(Tnavigation.empty())
63  return TnavigationIncluded;
64  TnavigationIncluded.push_back(Tnavigation[0]); // first position is always included
65  int numberOfIncluded = 0;
66  size_t numberOfPos = Tnavigation.size();
67  for ( size_t index = 1; index < numberOfPos; index++)
68  {
69  double xDistance = (TnavigationIncluded[numberOfIncluded](0,3) - Tnavigation[index](0,3) );
70  double xDistanceSquared = xDistance * xDistance;
71  double yDistance = (TnavigationIncluded[numberOfIncluded](1,3) - Tnavigation[index](1,3) );
72  double yDistanceSquared = yDistance * yDistance;
73  double zDistance = (TnavigationIncluded[numberOfIncluded](2,3) - Tnavigation[index](2,3) );
74  double zDistanceSquared = zDistance * zDistance;
75  double distanceToLastIncluded = sqrt (xDistanceSquared + yDistanceSquared + zDistanceSquared);
76 
77  if (distanceToLastIncluded > 1) //condition of at least movement of 1 mm from last included sample
78  {
79  numberOfIncluded ++;
80  TnavigationIncluded.push_back(Tnavigation[index]);
81  }
82  }
83 
84  return TnavigationIncluded;
85 }
86 
87 
88 
89 Eigen::VectorXd sortVector(Eigen::VectorXd v)
90 {
91  for (int i = 0; i < v.size() - 1; i++) {
92  for (int j = i + 1; j < v.size(); j++) {
93  if (v(i) > v(j)){
94  std::swap(v(i) , v(j));
95  }
96  }
97  }
98 return v;
99 }
100 
101 
102 Eigen::VectorXd findMedian(Eigen::MatrixXd matrix)
103 {
104  Eigen::VectorXd medianValues(matrix.rows());
105  for (int i = 0; i < matrix.rows(); i++) {
106  Eigen::MatrixXd sortedMatrix = sortMatrix(i, matrix);
107  if (sortedMatrix.cols()%2==1) {// odd number
108  medianValues(i) = (sortedMatrix(i,(sortedMatrix.cols()+1)/2) );
109  }
110  else { // even number
111  medianValues(i) = ( sortedMatrix(i,sortedMatrix.cols()/2) + sortedMatrix(i,sortedMatrix.cols()/2 - 1) ) / 2;
112  }
113  }
114  return medianValues;
115 }
116 
117 
118 std::pair<Eigen::MatrixXd , Eigen::MatrixXd> findPositionsWithSmallesAngleDifference(int percentage , Eigen::VectorXd DAngle , Eigen::MatrixXd trackingPositions , Eigen::MatrixXd nearestCTPositions)
119 {
120  Eigen::VectorXd DAngleSorted = sortVector(DAngle);
121  int numberOfPositionsIncluded = floor((double)(DAngle.size() * percentage/100));
122  Eigen::MatrixXd trackingPositionsIncluded(3 , numberOfPositionsIncluded );
123  Eigen::MatrixXd nearestCTPositionsIncluded(3 , numberOfPositionsIncluded );
124  float maxDAngle = DAngleSorted( numberOfPositionsIncluded );
125  int counter = 0;
126  for (int i = 0; i < DAngle.size(); i++)
127  {
128  if ((DAngle(i) <= maxDAngle) && (counter < numberOfPositionsIncluded))
129  {
130  trackingPositionsIncluded.col(counter) = trackingPositions.col(i);
131  nearestCTPositionsIncluded.col(counter) = nearestCTPositions.col(i);
132  counter++;
133  }
134  }
135 
136  return std::make_pair(trackingPositionsIncluded , nearestCTPositionsIncluded);
137 }
138 
139 
140 vtkPointsPtr convertTovtkPoints(Eigen::MatrixXd positions)
141 {
142  vtkPointsPtr retval = vtkPointsPtr::New();
143 
144  for (unsigned i=0; i<positions.cols(); ++i)
145  {
146  retval->InsertNextPoint(positions(0,i), positions(1,i), positions(2,i));
147  }
148  return retval;
149 }
150 
154 Eigen::Matrix4d performLandmarkRegistration(vtkPointsPtr source, vtkPointsPtr target /*, bool* ok */)
155 {
156  //*ok = false;
157 
158  // too few data samples: ignore
159  if (source->GetNumberOfPoints() < 3)
160  {
161  std::cout << "Warning in performLandmarkRegistration: Need >3 positions, returning identity matrix." << std::endl;
162  return Eigen::Matrix4d::Identity();
163  }
164 
165  vtkLandmarkTransformPtr landmarktransform = vtkLandmarkTransformPtr::New();
166  landmarktransform->SetSourceLandmarks(source);
167  landmarktransform->SetTargetLandmarks(target);
168  landmarktransform->SetModeToRigidBody();
169  source->Modified();
170  target->Modified();
171  //landmarktransform->Update();
172 
173  vtkMatrix4x4* temp = landmarktransform->GetMatrix();
174  Eigen::Matrix4d tar_M_src;
175  for (int i = 0; i < 4; i++)
176  {
177  for (int j = 0; j < 4; j++)
178  {
179  tar_M_src(i,j) = temp->GetElement(i,j);
180  //std::cout << tar_M_src(i,j) << " ";
181  }
182  //std::cout << std::endl;
183  }
184 
185  if ( boost::math::isnan(tar_M_src.sum()) )
186  {
187  std::cout << "Warning in performLandmarkRegistration: Returning identity matrix due to nan." << std::endl;
188  return Eigen::Matrix4d::Identity();
189  }
190 
191  return tar_M_src;
192 }
193 
194 
195 
196 
197  std::vector<Eigen::MatrixXd::Index> dsearch2n(Eigen::MatrixXd pos1, Eigen::MatrixXd pos2, Eigen::MatrixXd ori1, Eigen::MatrixXd ori2)
198  {
199  Eigen::MatrixXd::Index index;
200  std::vector<Eigen::MatrixXd::Index> indexVector;
201 
202  for (int i = 0; i < pos1.cols(); i++)
203  {
204  Eigen::VectorXd D(pos2.cols());
205  Eigen::VectorXd P(pos2.cols());
206  Eigen::VectorXd O(pos2.cols());
207  Eigen::VectorXd R(pos2.cols());
208 
209  for (int j = 0; j < pos2.cols(); j++)
210  {
211  float p0 = ( pos2(0,j) - pos1(0,i) );
212  float p1 = ( pos2(1,j) - pos1(1,i) );
213  float p2 = ( pos2(2,j) - pos1(2,i) );
214  float o0 = fmod( ori2(0,j) - ori1(0,i) , 2 );
215  float o1 = fmod( ori2(1,j) - ori1(1,i) , 2 );
216  float o2 = fmod( ori2(2,j) - ori1(2,i) , 2 );
217 
218  P(j) = sqrt( p0*p0 + p1*p1 + p2*p2 );
219  O(j) = sqrt( o0*o0 + o1*o1 + o2*o2 );
220 
221  if (boost::math::isnan( O(j) ))
222  O(j) = 4;
223 
224  if ( (o0>2) || (o1>2) || (o2>2) )
225  std::cout << "Warning in bronchoscopyRegistration.cpp: Error on oriantation calculation in dsearch2n. Orientation > 2." << std::endl;
226 
227  R(j) = P(j) / O(j);
228 
229  }
230  float alpha = sqrt( R.mean() );
231  if (boost::math::isnan( alpha ))
232  alpha = 0;
233 
234  D = P + alpha * O;
235  D.minCoeff(&index);
236  //std::cout << "index: " << index << std::endl;
237  indexVector.push_back(index);
238  }
239  return indexVector;
240  }
241 
242 std::pair<Eigen::MatrixXd , Eigen::MatrixXd> RemoveInvalidData(Eigen::MatrixXd positionData, Eigen::MatrixXd orientationData)
243 {
244  std::vector<int> indicesToBeDeleted;
245 
246  for (int i = 0; i < fmin(positionData.cols(), orientationData.cols()); i++)
247  {
248  if ( boost::math::isinf( positionData.block(0 , i , 3 , 1).sum() ) || boost::math::isinf( orientationData.block(0 , i , 3 , 1).sum() ) )
249  indicesToBeDeleted.push_back(i);
250  else if (boost::math::isnan( positionData.block(0 , i , 3 , 1).sum() ) || boost::math::isnan( orientationData.block(0 , i , 3 , 1).sum() ))
251  indicesToBeDeleted.push_back(i);
252  else if ( (positionData.block(0 , i , 1 , 1).sum() == 0 && positionData.block(1 , i , 1 , 1).sum() == 0 && positionData.block(2 , i , 1 , 1).sum() == 0) ||
253  (orientationData.block(0 , i , 1 , 1).sum() == 0 && orientationData.block(1 , i , 1 , 1).sum() == 0 && orientationData.block(2 , i , 1 , 1).sum() == 0))
254  indicesToBeDeleted.push_back(i);
255  }
256 
257  for ( int i = indicesToBeDeleted.size() - 1; i >= 0; i-- )
258  {
259  std::cout << "Warning in bronchoscopyRegistration: Removed corrupted data: " << positionData.block(0 , indicesToBeDeleted[i] , 3 , 1) << " " << orientationData.block(0 , indicesToBeDeleted[i] , 3 , 1) << std::endl;
260  positionData = eraseCol(indicesToBeDeleted[i],positionData);
261  orientationData = eraseCol(indicesToBeDeleted[i],orientationData);
262  }
263  return std::make_pair(positionData , orientationData);
264 }
265 
267 {
268  Eigen::Vector3d position;
269  Eigen::Vector3d orientation;
270  std::vector<int> indicesToBeDeleted;
271 
272  for (int i = 0; i < T_vector.size(); i++)
273  {
274  position = T_vector[i].topRightCorner(3 , 1);
275  orientation = T_vector[i].block(0 , 2 , 3 , 1);
276  if ( boost::math::isinf( position.sum() ) || boost::math::isinf( orientation.sum() ) )
277  indicesToBeDeleted.push_back(i);
278  else if (boost::math::isnan( position.sum() ) || boost::math::isnan( orientation.sum() ))
279  indicesToBeDeleted.push_back(i);
280  else if ( (position[0] == 0 && position[1] == 0 && position[2] == 0) ||
281  (orientation[0] == 0 && orientation[1] == 0 && orientation[2] == 0) )
282  indicesToBeDeleted.push_back(i);
283  }
284 
285  for ( int i = indicesToBeDeleted.size() - 1; i >= 0; i-- )
286  {
287  std::cout << "Warning in bronchoscopyRegistration: Removed corrupted data: " << T_vector[i].topRightCorner(3 , 1) << " " << T_vector[i].block(0 , 2 , 3 , 1) << std::endl;
288  T_vector.erase(T_vector.begin() + indicesToBeDeleted[i]);
289  }
290  return T_vector;
291 }
292 
293 Eigen::Matrix4d registrationAlgorithm(BranchListPtr branches, M4Vector Tnavigation, Transform3D old_rMpr)
294 {
295  Eigen::Matrix4d registrationMatrix;
296  Eigen::MatrixXd CTPositions;
297  Eigen::MatrixXd CTOrientations;
298  Eigen::MatrixXd trackingPositions(3 , Tnavigation.size());
299  Eigen::MatrixXd trackingOrientations(3, Tnavigation.size());
300 
301  std::vector<BranchPtr> branchVector = branches->getBranches();
302  CTPositions = branchVector[0]->getPositions();
303  CTOrientations = branchVector[0]->getOrientations();
304 
305  std::cout << "Positions in centerline:" << CTPositions.cols() << std::endl;
306  std::cout << "Positions in tracking data:" << trackingPositions.cols() << std::endl;
307 
308  if (trackingPositions.cols() < 10)
309  {
310  std::cout << "Warning: Too few positions in tracking data to perform registration." << std::endl;
311  return Eigen::Matrix4d::Identity();
312  }
313 
314  for (int i = 1; i < branchVector.size(); i++)
315  {
316  Eigen::MatrixXd CTPositionsNew(CTPositions.rows() , CTPositions.cols() + branchVector[i]->getPositions().cols());
317  Eigen::MatrixXd CTOrientationsNew(CTOrientations.rows() , CTOrientations.cols() + branchVector[i]->getOrientations().cols());
318  CTPositionsNew.leftCols(CTPositions.cols()) = CTPositions;
319  CTPositionsNew.rightCols(branchVector[i]->getPositions().cols()) = branchVector[i]->getPositions();
320  CTOrientationsNew.leftCols(CTOrientations.cols()) = CTOrientations;
321  CTOrientationsNew.rightCols(branchVector[i]->getOrientations().cols()) = branchVector[i]->getOrientations();
322  CTPositions.swap(CTPositionsNew);
323  CTOrientations.swap(CTOrientationsNew);
324  }
325 
326  if (CTPositions.cols() < 10)
327  {
328  std::cout << "Warning: Too few positions in centerline to perform registration." << std::endl;
329  return Eigen::Matrix4d::Identity();
330  }
331 
332  std::pair<Eigen::MatrixXd , Eigen::MatrixXd> qualityCheckedData = RemoveInvalidData(CTPositions, CTOrientations);
333  CTPositions = qualityCheckedData.first;
334  CTOrientations = qualityCheckedData.second;
335 
336  for (int i = 0; i < Tnavigation.size(); i++)
337  Tnavigation[i] = old_rMpr * Tnavigation[i];
338 
339  Tnavigation = RemoveInvalidData(Tnavigation);
340 
341  for (int i = 0; i < Tnavigation.size(); i++)
342  {
343  trackingPositions.block(0 , i , 3 , 1) = Tnavigation[i].topRightCorner(3 , 1);
344  trackingOrientations.block(0 , i , 3 , 1) = Tnavigation[i].block(0 , 2 , 3 , 1);
345  }
346 
347  //Adjusting points for centeroids
348  Eigen::MatrixXd::Index maxIndex;
349  trackingPositions.row(2).maxCoeff( &maxIndex );
350  //std::cout << "maxIndex: " << maxIndex << std::endl;
351  //Eigen::Vector3d translation = CTPositions.col(0) - trackingPositions.col(maxIndex);
352  //std::cout << "CTPositions.col(0): " << CTPositions.col(0) << std::endl;
353  Eigen::Vector3d translation = findMedian(CTPositions) - findMedian(trackingPositions);
354  //Eigen::Matrix3d rotation;
355  //trackingPositions = trackingPositions.colwise() + translation;
356  //std::cout << "trackingPositions.col(maxIndex): " << trackingPositions.col(maxIndex) << std::endl;
357 
358 
359  registrationMatrix << 1, 0, 0, translation(0),
360  0, 1, 0, translation(1),
361  0, 0, 1, translation(2),
362  0, 0, 0, 1;
363 
364  for (int i = 0; i < Tnavigation.size(); i++)
365  {
366  Tnavigation[i] = registrationMatrix * Tnavigation[i];
367  }
368  //std::cout << "Tracking data 1 after initial translation: " << Tnavigation[0] << std::endl;
369  //std::cout << "Tracking data maxIndex after initial translation: " << Tnavigation[maxIndex] << std::endl;
370 
371  int iterationNumber = 0;
372  int maxIterations = 50;
373  while ( translation.array().abs().sum() > 1 && iterationNumber < maxIterations)
374  {
375  for (int i = 0; i < Tnavigation.size(); i++)
376  {
377  trackingPositions.block(0 , i , 3 , 1) = Tnavigation[i].topRightCorner(3 , 1);
378  trackingOrientations.block(0 , i , 3 , 1) = Tnavigation[i].block(0 , 2 , 3 , 1);
379  }
380 
381 
382  iterationNumber++;
383  std::vector<Eigen::MatrixXd::Index> indexVector = dsearch2n( trackingPositions, CTPositions, trackingOrientations, CTOrientations );
384  Eigen::MatrixXd nearestCTPositions(3,indexVector.size());
385  Eigen::MatrixXd nearestCTOrientations(3,indexVector.size());
386  Eigen::VectorXd DAngle(indexVector.size());
387  for (int i = 0; i < indexVector.size(); i++)
388  {
389  nearestCTPositions.col(i) = CTPositions.col(indexVector[i]);
390  nearestCTOrientations.col(i) = CTOrientations.col(indexVector[i]);
391  float o0 = fmod( trackingOrientations(0,i) - nearestCTOrientations(0,i) , 2 );
392  float o1 = fmod( trackingOrientations(1,i) - nearestCTOrientations(1,i) , 2 );
393  float o2 = fmod( trackingOrientations(2,i) - nearestCTOrientations(2,i) , 2 );
394  DAngle(i) = sqrt(o0*o0+o1*o1+o2*o2);
395  }
396 
397  std::pair<Eigen::MatrixXd , Eigen::MatrixXd> result = findPositionsWithSmallesAngleDifference(70 , DAngle , trackingPositions , nearestCTPositions);
398  vtkPointsPtr trackingPositions_vtk = convertTovtkPoints(result.first);
399  vtkPointsPtr CTPositions_vtk = convertTovtkPoints(result.second);
400 
401  Eigen::Matrix4d tempMatrix = performLandmarkRegistration(trackingPositions_vtk, CTPositions_vtk);
402 
403  registrationMatrix = tempMatrix * registrationMatrix;
404 
405  for (int i = 0; i < Tnavigation.size(); i++)
406  {
407  Tnavigation[i] = tempMatrix * Tnavigation[i];
408  }
409 
410  translation << tempMatrix(0,3), tempMatrix(1,3), tempMatrix(2,3);
411 
412  std::cout << "Iteration nr " << iterationNumber << " translation: " << translation.array().abs().sum() << std::endl;
413  //for (int i = 0; i < 4; i++)
414  // std::cout << tempMatrix.row(i) << std::endl;
415  }
416 
417  if (translation.array().abs().sum() > 1)
418  std::cout << "Warning: Registration did not converge within " << maxIterations <<" iterations, which is max number of iterations." << std::endl;
419 
420  return registrationMatrix;
421 }
422 
424 {
425  if (mBranchListPtr)
426  mBranchListPtr->deleteAllBranches();
427 
428  int N = centerline->GetNumberOfPoints();
429  Eigen::MatrixXd CLpoints(3,N);
430  for(vtkIdType i = 0; i < N; i++)
431  {
432  double p[3];
433  centerline->GetPoint(i,p);
434  Eigen::Vector3d position;
435  position(0) = p[0]; position(1) = p[1]; position(2) = p[2];
436  CLpoints.block(0 , i , 3 , 1) = rMd.coord(position);
437  }
438  mBranchListPtr->findBranchesInCenterline(CLpoints);
439  if (numberOfGenerations != 0)
440  {
441  mBranchListPtr->selectGenerations(numberOfGenerations);
442  }
443 
444  mBranchListPtr->smoothBranchPositions();
445  mBranchListPtr->calculateOrientations();
446  mBranchListPtr->smoothOrientations();
447 
448  vtkPolyDataPtr retval = vtkPolyDataPtr::New();
449  vtkPointsPtr points = vtkPointsPtr::New();
450  vtkCellArrayPtr lines = vtkCellArrayPtr::New();
451 
452  std::vector<BranchPtr> branches = mBranchListPtr->getBranches();
453  int positionCounter = 0;
454  for (int i = 0; i < branches.size(); i++)
455  {
456  Eigen::MatrixXd positions = branches[i]->getPositions();
457  for (int j = 0; j < positions.cols(); j++)
458  {
459  positionCounter ++;
460  points->InsertNextPoint(positions(0,j),positions(1,j),positions(2,j));
461  if (j < positions.cols()-1)
462  {
463  vtkIdType connection[2] = {positionCounter-1, positionCounter};
464  lines->InsertNextCell(2, connection);
465  }
466  }
467  }
468  retval->SetPoints(points);
469  retval->SetLines(lines);
470 
471  std::cout << "Number of branches in CT centerline: " << mBranchListPtr->getBranches().size() << std::endl;
472 
473  mCenterlineProcessed = true;
474 
475  return retval;
476 
477 }
478 
479 
480 Eigen::Matrix4d BronchoscopyRegistration::runBronchoscopyRegistration(TimedTransformMap trackingData_prMt, Transform3D old_rMpr, double maxDistanceForLocalRegistration)
481 {
482  if(trackingData_prMt.empty())
483  reportError("BronchoscopyRegistration::runBronchoscopyRegistration(): No tracking data");
484 
485  M4Vector Tnavigation;
486  for(TimedTransformMap::iterator iter=trackingData_prMt.begin(); iter!=trackingData_prMt.end(); ++iter)
487  {
488  Tnavigation.push_back(iter->second. matrix());
489  }
490 
491  //vtkPointsPtr points = centerline->GetPoints();
492 
493  Tnavigation = excludeClosePositions(Tnavigation);
494 
495  Eigen::Matrix4d regMatrix;
496  if (maxDistanceForLocalRegistration != 0)
497  {
498  Eigen::MatrixXd trackingPositions_temp(3 , Tnavigation.size());
499  M4Vector Tnavigation_temp = Tnavigation;
500  for (int i = 0; i < Tnavigation.size(); i++)
501  {
502  Tnavigation_temp[i] = old_rMpr * Tnavigation[i];
503  trackingPositions_temp.block(0 , i , 3 , 1) = Tnavigation_temp[i].topRightCorner(3 , 1);
504  }
505  BranchListPtr tempPtr = mBranchListPtr->removePositionsForLocalRegistration(trackingPositions_temp, maxDistanceForLocalRegistration);
506  regMatrix = registrationAlgorithm(tempPtr, Tnavigation, old_rMpr);
507  }
508  else
509  regMatrix = registrationAlgorithm(mBranchListPtr, Tnavigation, old_rMpr);
510 
511 
512  if ( boost::math::isnan(regMatrix.sum()) )
513  {
514  std::cout << "Warning: Registration matrix contains 'nan' number, using identity matrix." << std::endl;
515  return Eigen::Matrix4d::Identity();
516  }
517 
518  if ( boost::math::isinf(regMatrix.sum()) )
519  {
520  std::cout << "Warning: Registration matrix contains 'inf' number, using identity matrix." << std::endl;
521  return Eigen::Matrix4d::Identity();
522  }
523 
524  std::cout << "prMt from bronchoscopyRegistration: " << std::endl;
525  for (int i = 0; i < 4; i++)
526  std::cout << regMatrix.row(i) << std::endl;
527 
528  return regMatrix;
529 }
530 
531 
533 {
534  return mCenterlineProcessed;
535 }
536 
537 
539 {
540 
541 }
542 
543 
544 
545 }//namespace cx
void reportError(QString msg)
Definition: cxLogger.cpp:92
vtkSmartPointer< class vtkLandmarkTransform > vtkLandmarkTransformPtr
Transform3D Transform3D
Transform3D is a representation of an affine 3D transform.
vtkSmartPointer< class vtkCellArray > vtkCellArrayPtr
boost::shared_ptr< class BranchList > BranchListPtr
std::pair< Eigen::MatrixXd, Eigen::MatrixXd > RemoveInvalidData(Eigen::MatrixXd positionData, Eigen::MatrixXd orientationData)
vtkPointsPtr convertTovtkPoints(Eigen::MatrixXd positions)
vtkSmartPointer< class vtkPolyData > vtkPolyDataPtr
std::vector< Eigen::MatrixXd::Index > dsearch2n(Eigen::MatrixXd pos1, Eigen::MatrixXd pos2, Eigen::MatrixXd ori1, Eigen::MatrixXd ori2)
M4Vector excludeClosePositions(M4Vector Tnavigation)
Eigen::Matrix4d runBronchoscopyRegistration(TimedTransformMap trackingData_prMt, Transform3D old_rMpr, double maxDistanceForLocalRegistration)
std::pair< Eigen::MatrixXd, Eigen::MatrixXd > findPositionsWithSmallesAngleDifference(int percentage, Eigen::VectorXd DAngle, Eigen::MatrixXd trackingPositions, Eigen::MatrixXd nearestCTPositions)
vtkPolyDataPtr processCenterline(vtkPolyDataPtr centerline, Transform3D rMd, int numberOfGenerations=0)
Eigen::Matrix4d performLandmarkRegistration(vtkPointsPtr source, vtkPointsPtr target)
Eigen::MatrixXd eraseCol(int removeIndex, Eigen::MatrixXd positions)
Eigen::MatrixXd sortMatrix(int rowNumber, Eigen::MatrixXd matrix)
std::vector< Eigen::Matrix4d > M4Vector
Eigen::VectorXd findMedian(Eigen::MatrixXd matrix)
Eigen::VectorXd sortVector(Eigen::VectorXd v)
Eigen::Matrix4d registrationAlgorithm(BranchListPtr branches, M4Vector Tnavigation, Transform3D old_rMpr)
std::map< double, Transform3D > TimedTransformMap
vtkSmartPointer< class vtkPoints > vtkPointsPtr
std::vector< BranchPtr > branchVector
Definition: cxBranch.h:49