/* Copyright (C) 2012 University of Oxford */ /* Part of FSL - FMRIB's Software Library http://www.fmrib.ox.ac.uk/fsl fsl@fmrib.ox.ac.uk Developed at FMRIB (Oxford Centre for Functional Magnetic Resonance Imaging of the Brain), Department of Clinical Neurology, Oxford University, Oxford, UK LICENCE FMRIB Software Library, Release 5.0 (c) 2012, The University of Oxford (the "Software") The Software remains the property of the University of Oxford ("the University"). The Software is distributed "AS IS" under this Licence solely for non-commercial use in the hope that it will be useful, but in order that the University as a charitable foundation protects its assets for the benefit of its educational and research purposes, the University makes clear that no condition is made or to be implied, nor is any warranty given or to be implied, as to the accuracy of the Software, or that it will be suitable for any particular purpose or for use under any specific conditions. 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Contact details are: innovation@isis.ox.ac.uk quoting reference DE/9564. */ #include #ifndef EXPOSE_TREACHEROUS #define EXPOSE_TREACHEROUS #endif #include "newimage/newimageall.h" #include "utils/log.h" #include "meshclass/meshclass.h" #include "probtrackxOptions.h" #include "particle.h" #include "tractvolsx.h" #include "miscmaths/SpMat.h" using namespace std; using namespace NEWIMAGE; using namespace Utilities; using namespace TRACTVOLSX; using namespace mesh; using namespace PARTICLE; namespace TRACT{ void read_masks(vector& masks, const string& filename); class Streamliner{ //Everything in DTI space is done INSIDE this class and lower level classes (particle and tractvolsx) //This class communicates with higher level classes in Seed voxels. // probtrackxOptions& opts; Log& logger; Particle m_part; vector m_path; volume m_mask; volume m_skipmask; volume m_rubbish; volume m_stop; volume4D m_prefdir; volume4D m_loopcheck; vector* > m_waymasks; vector m_passed_flags; vector m_own_waymasks; Matrix m_Seeds_to_DTI; Matrix m_DTI_to_Seeds; volume4D m_Seeds_to_DTI_warp; volume4D m_DTI_to_Seeds_warp; volume4D m_jacx; volume4D m_jacy; volume4D m_jacz; bool m_IsNonlinXfm; Matrix m_rotdir; Tractvolsx vols; float m_lcrat; float m_x_s_init; float m_y_s_init; float m_z_s_init; // Streamliner needs to know about matrix3 volume m_mask3; volume m_beenhere3; vector m_inmask3; // we need this class to know about seed space const volume& m_seeds; public: //Constructors Streamliner(const volume&); ~Streamliner(){ for(unsigned int i=0;i& myway,const bool& ownership=false){ //make sure that the waymask to add will not be deleted before //this streamliner goes out of scope!! m_waymasks.push_back(&myway); m_own_waymasks.push_back(ownership); m_passed_flags.push_back(false); } void pop_waymasks(){ volume* tmpptr=m_waymasks[m_waymasks.size()-1]; m_waymasks.pop_back(); m_passed_flags.pop_back(); if(m_own_waymasks[m_own_waymasks.size()-1]){ delete tmpptr; } m_own_waymasks.pop_back(); } void clear_waymasks(){ // clear all waymasks for(unsigned int i=0;i& get_path_ref() const{return m_path;} inline vector get_path() const{return m_path;} inline void reset(){ m_part.reset(); vols.reset(opts.fibst.value()); for(unsigned int i=0;i& get_stop()const{return m_stop;} // matrix3 methods void clear_beenhere3(){ for(unsigned int i=0;i& get_inmask3(){return m_inmask3;} volume& get_mask3(){return m_mask3;} volume& get_beenhere3(){return m_beenhere3;} }; class Counter{ probtrackxOptions& opts; Log& logger; volume m_prob; volume m_beenhere; Matrix m_I; vector m_path; vector m_seedcounts; Matrix m_SeedCountMat; int m_SeedRow; int m_numseeds; Matrix m_targetmasks; vector m_targetmasknames; vector m_targflags; volume m_seeds_vol2mat; Matrix m_seeds_mat2vol; volume m_targets_vol2mat; Matrix m_targets_mat2vol; volume m_ConMat; volume m_CoordMat; int m_Conrow; volume m_ConMat2; volume m_CoordMat2; volume m_CoordMat_tract2; volume m_lrmask; volume4D m_lookup2; volume m_beenhere2; int m_Conrow2; ColumnVector m_lrdim; //volume m_ConMat3; SpMat *m_ConMat3; // Use sparse representation to allow for big NxN matrices volume m_Lookup3; Matrix m_CoordMat3; const volume& m_seeds; ColumnVector m_seedsdim; Streamliner& m_stline; Streamliner& m_nonconst_stline; Matrix m_pathlengths; int m_nsamp; public: Counter(const volume& seeds,Streamliner& stline,int numseeds):opts(probtrackxOptions::getInstance()), logger(LogSingleton::getInstance()), m_numseeds(numseeds), m_seeds(seeds),m_stline(stline), m_nonconst_stline(stline){ //are they initialised to zero? m_beenhere.reinitialize(m_seeds.xsize(),m_seeds.ysize(),m_seeds.zsize()); m_seedsdim.ReSize(3); m_seedsdim << m_seeds.xdim() <& keeptotal); void save(); void save_pathdist(); void save_pathdist(string add); void save_seedcounts(); void save_matrix1(); void save_matrix2(); void save_matrix3(); void save_maskmatrix(){}//not written yet inline const Streamliner& get_streamline() const {return m_stline;} inline Streamliner& get_nonconst_streamline() const {return m_nonconst_stline;} inline const volume& get_seeds() const {return m_seeds;} }; class Seedmanager{ probtrackxOptions& opts; Log& logger; Counter& m_counter; Streamliner& m_stline; const volume& m_seeds; ColumnVector m_seeddims; public: Seedmanager(Counter& counter):opts(probtrackxOptions::getInstance()), logger(LogSingleton::getInstance()), m_counter(counter), m_stline(m_counter.get_nonconst_streamline()), m_seeds(m_counter.get_seeds()){ m_seeddims.ReSize(3); m_seeddims<