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/* MELODIC - Multivariate exploratory linear optimized decomposition into
independent components
meldata.h - data container class
Christian F. Beckmann, FMRIB Image Analysis Group
Copyright (C) 1999-2008 University of Oxford */
/* CCOPYRIGHT */
#ifndef __MELODICDATA_h
#define __MELODICDATA_h
#include "newimage/newimageall.h"
#include "utils/log.h"
using namespace Utilities;
using namespace NEWIMAGE;
namespace Melodic{
public:
//constructor
MelodicData(MelodicOptions &popts, Log &plogger):
opts(popts),logger(plogger)
{
after_mm = false;
Resels = 0;
}
volume4D<float> tempVol;
tempVol.setmatrix(what,Mask);
save_volume4D(tempVol,logger.appendDir(fname),tempInfo);
message(" " << logger.appendDir(fname) << endl);
}
inline void saveascii(Matrix what, string fname){
write_ascii_matrix(logger.appendDir(fname),what);
message(" " << logger.appendDir(fname) << endl);
}
inline void savebinary(Matrix what, string fname){
write_binary_matrix(what,logger.appendDir(fname));
message(" " << logger.appendDir(fname) << endl);
int remove_components();
void setup();
void status(const string &txt);
inline Matrix& get_pcaE() {return pcaE;}
inline void set_pcaE(Matrix& Arg) {pcaE = Arg;}
inline RowVector& get_pcaD() {return pcaD;}
inline void set_pcaD(RowVector& Arg) {pcaD = Arg;}
inline Matrix& get_data() {return Data;}
inline void set_data(Matrix& Arg) {Data = Arg;}
inline Matrix& get_IC() {return IC;}
inline void set_IC(Matrix& Arg) {IC = Arg;}
inline void set_IC(int ctr, Matrix& Arg) {IC.Row(ctr) = Arg;}
inline vector<Matrix>& get_Smodes() {return Smodes;}
inline Matrix& get_Smodes(int what) {return Smodes.at(what);}
inline void add_Smodes(Matrix& Arg) {Smodes.push_back(Arg);}
Matrix tmp = Smodes.at(0);
for(unsigned int ctr = 1; ctr < Smodes.size(); ctr++)
tmp |= Smodes.at(ctr);
saveascii(tmp,opts.outputfname.value() + "_Smodes");
inline vector<Matrix>& get_Tmodes() {return Tmodes;}
inline Matrix& get_Tmodes(int what) {return Tmodes.at(what);}
inline void add_Tmodes(Matrix& Arg) {Tmodes.push_back(Arg);}
inline void save_Tmodes(){
Matrix tmp = Tmodes.at(0);
for(unsigned int ctr = 1; ctr < Tmodes.size(); ctr++)
tmp |= Tmodes.at(ctr);
saveascii(tmp,opts.outputfname.value() + "_Tmodes");
inline Matrix& get_white() {return whiteMatrix;}
inline void set_white(Matrix& Arg) {whiteMatrix = Arg;}
inline Matrix& get_dewhite() {return dewhiteMatrix;}
inline void set_dewhite(Matrix& Arg) {dewhiteMatrix = Arg;}
inline Matrix& get_meanC() {return meanC;}
inline Matrix& get_meanR() {return meanR;}
inline Matrix& get_stdDevi() {return stdDevi;}
inline void set_stdDevi(Matrix& Arg) {stdDevi = Arg;}
inline Matrix& get_mix() {return mixMatrix;}
mixMatrix = Arg;
if (Tmodes.size() < 1)
for (int ctr = 1; ctr <= Arg.Ncols(); ctr++){
Matrix tmp = Arg.Column(ctr);
add_Tmodes(tmp);
}
Matrix expand_mix();
Matrix expand_dimred(const Matrix& Mat);
Matrix reduce_dimred(const Matrix& Mat);
inline Matrix& get_fmix() {return mixFFT;}
inline void set_fmix(Matrix& Arg) {mixFFT = Arg;}
inline Matrix& get_unmix() {return unmixMatrix;}
inline void set_unmix(Matrix& Arg) {unmixMatrix = Arg;}
inline volume<float>& get_mask() {return Mask;}
inline void set_mask(volume<float>& Arg) {Mask = Arg;}
inline volume<float>& get_mean() {return Mean;}
inline void set_mean(volume<float>& Arg) {Mean = Arg;}
inline volume<float>& get_bg() {
if(opts.bgimage.value()>"")
return background;
else
return Mean;
}
inline void set_bg(volume<float>& Arg) {background = Arg;}
inline Matrix& get_Data() {return Data;}
inline void set_Data(Matrix& Arg) {Data = Arg;}
inline Matrix& get_RXweight() {return RXweight;}
inline void set_RXweight(Matrix& Arg) {RXweight = Arg;}
inline Matrix& get_ICstats() {return ICstats;}
inline void set_ICstats(Matrix& Arg) {ICstats = Arg;}
inline void set_EVP(Matrix& Arg) {if(EVP.Storage()==0)
EVP = Arg;}
inline void set_EV(Matrix& Arg) {if(EV.Storage()==0)
EV = Arg;}
inline Matrix& get_PPCA() {return PPCA;}
inline void set_PPCA(Matrix& Arg) {if(PPCA.Storage()==0)
inline Matrix& get_stdNoisei() {return stdNoisei;}
inline void set_stdNoisei(Matrix& Arg) {stdNoisei = Arg;}
inline int data_dim() {return Data.Nrows();}
inline int data_samples() {return Data.Ncols();}
inline float get_resels() {return Resels;}
inline void set_resels(float& Arg) {Resels = Arg;}
inline int get_numfiles() {return numfiles;}
inline void set_after_mm(bool val) {after_mm = val;}
IC.Row(num) = -IC.Row(num);
mixMatrix.Column(num) = -mixMatrix.Column(num);
mixFFT=calc_FFT(mixMatrix);
unmixMatrix = pinv(mixMatrix);
if(ICstats.Storage()>0&&ICstats.Ncols()>3){
double tmp;
tmp = ICstats(num,3);
ICstats(num,3) = -1.0*ICstats(num,4);
ICstats(num,4) = -1.0*tmp;
}
void sort();
Matrix Tdes, Tcon, TconF, Sdes, Scon, SconF;
RowVector explained_var;
private:
MelodicOptions &opts;
Log &logger;
Matrix pcaE;
Matrix whiteMatrix;
Matrix dewhiteMatrix;
Matrix meanC;
Matrix meanR;
Matrix stdDev;
Matrix stdDevi;
Matrix RXweight;
Matrix mixMatrix;
Matrix unmixMatrix;
Matrix mixFFT;
Matrix IC;
Matrix ICstats;
vector<Matrix> Tmodes;
vector<Matrix> Smodes;
Matrix EVP;
Matrix EV;
Matrix stdNoisei;
volume<float> Mask;
volume<float> Mean;
void setup_misc();
void create_mask(volume<float>& theMask);
unsigned long standardise(volume<float>& mask,
volume4D<float>& R);
float est_resels(volume4D<float> R, volume<float> mask);