meloptions.h

/*  MELODIC - Multivariate exploratory linear optimized decomposition into 
              independent components
    
    meloptions.h - class for command line options

    Christian F. Beckmann, FMRIB Image Analysis Group
    
    Copyright (C) 1999-2002 University of Oxford */

/*  CCOPYRIGHT */


#ifndef __MELODICOPTIONS_h
#define __MELODICOPTIONS_h

#include <string>
#include <strstream>
#include <iostream>
#include <fstream>
#include <stdlib.h>
#include <stdio.h>
#include "utils/options.h"
#include "utils/log.h"
#include "melodic.h"


using namespace Utilities;

namespace Melodic {

class MelodicOptions {
 public:
  static MelodicOptions& getInstance();
  ~MelodicOptions() { delete gopt; }
  
  string version;
  string binpath;
  string logfname;
  bool   filtermode;
  bool   explicitnums;
  
  Option<string> logdir;
  Option<string> inputfname;

  Option<string> outputfname;

  Option<string> maskfname;
  Option<bool>   use_mask;
  Option<bool>   perf_bet;
  Option<float>  threshold;

  Option<int>    pca_dim;
  Option<string> pca_est;
  Option<int>    numICs;
  Option<string> approach;
  Option<string> nonlinearity;

  Option<bool>   varnorm;
  Option<string> segment;
  Option<bool>   tsmooth;
  Option<float>  epsilon;
  Option<int>    maxNumItt;
  Option<int>    maxRestart;

  Option<string> mmthresh;
  Option<bool>   perf_mm;
  Option<string> ICsfname;
  Option<string> filtermix; 
  Option<string> filter; 

  Option<bool>   genreport;
  Option<float>  tr;
  Option<bool>   logPower;

  Option<bool>   output_unmix;
  Option<bool>   output_MMstats;
  Option<bool>   output_pca;
  Option<bool>   output_white;
  Option<bool>   output_origIC;
  Option<bool>   output_mean;

  Option<bool> verbose;  
  Option<bool> vers;
  Option<bool> copyright;
  Option<bool> help;

  Option<string> guessfname;
  Option<string> paradigmfname;

  Option<int>  dummy;
  Option<int>  repeats;
  Option<float> nlconst1;
  Option<float> nlconst2;


  Option<bool> remove_meanvol;
  Option<bool> remove_endslices;

  Option<bool> guess_remderiv;
  Option<bool> temporal;

  int retrystep;

  void parse_command_line(int argc, char** argv, Log& logger,  const string &p_version);

 private:
  MelodicOptions();  
  const MelodicOptions& operator=(MelodicOptions&);
  MelodicOptions(MelodicOptions&);

  OptionParser options; 
      
  static MelodicOptions* gopt;

  void print_usage(int argc, char *argv[]);  
  void print_version(); 
  void print_copyright();
  void status();
};

 inline MelodicOptions& MelodicOptions::getInstance(){
   if(gopt == NULL)
     gopt = new MelodicOptions();
   
   return *gopt;
 }

 inline MelodicOptions::MelodicOptions() :
   logdir(string("-o,--outdir"), string("melodic.log"),
	  string("output directory name\n"), 
	  false, requires_argument),
   inputfname(string("-i,--in"), string(""),
	      string("input file name"), 
	      true, requires_argument),
   outputfname(string("-O,--out"), string("melodic"),
	   string("output file name"), 
	   false, requires_argument,false),
   maskfname(string("-m,--mask"), string(""),
	   string("file name of mask for thresholding"), 
	   false, requires_argument),
   use_mask(string("--nomask"), true,
	   string("switch off masking"), 
	   false, no_argument),
   perf_bet(string("--nobet"), true,
	   string("\tswitch off BET"), 
	   false, no_argument),
   threshold(string("--bgthreshold"),  0.00000001,
	   string("brain / non-brain threshold (only if --nobet selected)\n"), 
	   false, requires_argument),
   pca_dim(string("-d,--dim"), 0,
	   string("dimensionality reduction into #num dimensions (default: automatic estimation)"), 
	   false, requires_argument),
   pca_est(string("--dimest"), string("lap"),
	   string("use specific dim. estimation technique: lap, bic, mdl, aic, mean (default: lap)"), 
	   false, requires_argument),
   numICs(string("-n,--numICs"), -1,
	   string("numer of IC's to extract (for deflation approach)"), 
	   false, requires_argument),
   approach(string("-a,--approach"),  string("symm"),
	   string("approach for ICA estimation: defl, symm"), 
	   false, requires_argument),
   nonlinearity(string("--nl"), string("pow3"),
	   string("\tnonlinearity: gauss, tanh, pow3, pow4"), 
	   false, requires_argument),
   varnorm(string("--vn,--varnorm"), true,
	   string("switch off variance normalisation"), 
	   false, no_argument),
   segment(string("--covarweight"), string(""),
	   string("voxel-wise weights for the covariance matrix (e.g. segmentation information)"),
	   false, requires_argument),
   tsmooth(string("--spca"),  false,
	   string("smooth the eigenvectors prior to IC decomposition"), 
	    false, no_argument, false),
   epsilon(string("--eps,--epsilon"), 0.00005,
	   string("minimum error change"), 
	   false, requires_argument),
   maxNumItt(string("--maxit"),  500,
	   string("\tmaximum number of iterations before restart"), 
	   false, requires_argument),
   maxRestart(string("--maxrestart"),  6,
	   string("maximum number of restarts\n"), 
	   false, requires_argument),
   mmthresh(string("--mmthresh"), string("0.5"),
	   string("threshold for Mixture Model based inference"), 
	   false, requires_argument),
   perf_mm(string("--no_mm"), true,
	   string("\tswitch off mixture modelling on IC maps\n "), 
	   false, no_argument),
   ICsfname(string("--ICs"), string(""),
	   string("\tfilename of the IC components file for mixture modelling"), 
	   false, requires_argument),
   filtermix(string("--mix"),  string(""),
	   string("\tmixing matrix for mixture modelling / filtering"), 
	   false, requires_argument),
   filter(string("-f,--filter"),  string(""),
	   string("component numbers to remove\n "), 
	   false, requires_argument),
   genreport(string("--report"), false,
	   string("generate Melodic web report"), 
	   false, no_argument),
   tr(string("--tr"),  0.0,
	   string("\tTR in seconds"), 
	   false, requires_argument),
   logPower(string("--logPower"),  false,
	   string("calculate log of power for frequency spectrum\n"), 
	    false, no_argument),
   output_unmix(string("--Ounmix"),  false,
	   string("output unmixing matrix"), 
	   false, no_argument),
   output_MMstats(string("--Ostats"),  false,
	   string("output thresholded maps and probability maps"), 
	   false, no_argument),
   output_pca(string("--Opca"),  false,
	   string("\toutput PCA results"), 
	   false, no_argument),
   output_white(string("--Owhite"),  false,
	   string("output whitening/dewhitening matrices"), 
	   false, no_argument),
   output_origIC(string("--Oorig"),  false,
	   string("\toutput the original ICs"), 
	   false, no_argument),
   output_mean(string("--Omean"),  false,
	   string("\toutput mean volume\n"), 
	   false, no_argument),
   verbose(string("-v,--verbose"), false,
	   string("switch on diagnostic messages"), 
	   false, no_argument),
   vers(string("-V,--version"), false,
	   string("prints version information"), 
	   false, no_argument),
   copyright(string("--copyright"), false,
	   string("prints copyright information"), 
	   false, no_argument),
   help(string("-h,--help"),  false,
	   string("prints this help message"), 
	   false, no_argument),
   guessfname(string("-g,--guess"), string(""),
	   string("file name of guess of mixing matrix"), 
	   false, requires_argument, false),
   paradigmfname(string("-p,--paradigm"),  string(""),
	   string("file name of FEAT paradigm file"), 
	   false, requires_argument, false),
   dummy(string("--dummy"),  0,
	   string("number of dummy volumes"), 
	   false, requires_argument,false),
   repeats(string("--repeats"), 1,
	   string("number of repeats (multistart)"), 
	   false, requires_argument, false),
   nlconst1(string("--nl1,--nlconst1"),  1.0,
	   string("nonlinear constant 1"), 
	   false, requires_argument, false),
   nlconst2(string("--nl2,--nlconst2"),  1.0,
	   string("nonlinear constant 2"), 
	   false, requires_argument, false),
   remove_meanvol(string("--keepmeanvol"), true,
	   string("do not subtract mean volume"), 
	   false, no_argument, false),
   remove_endslices(string("--remEndslices"),  false,
	   string("delete end slices (motion correction artefacts)"), 
	   false, no_argument,false),
   guess_remderiv(string("--remderiv"),  false,
	   string("removes every second entry in paradigm file (EV derivatives)"), 
	   false, no_argument, false),
   temporal(string("--temporal"),  false,
	   string("perform temporal ICA"), 
	    false, no_argument, false),
   retrystep(3),
   options(string(""), 
	   string(" melodic -i <filename> <options>")+
	   string("\n \t \t to run melodic")+
	   string("\n melodic -i <filename> --mix=melodic_mix")+
	   string(" --filter=\"string of component numbers\"")+
	   string("\n \t \t to remove estimated ICs from input")+
	   string("\n melodic -i <filename> --ICs=melodic_IC")+
	   string(" --mix=melodic_mix <options>")+
	   string("\n \t \t to run Mixture Model based inference on estimated ICs")+
	   string("\n melodic --help "))
   {
     try {  
            options.add(logdir);
	    options.add(inputfname);
	    options.add(outputfname);
	    options.add(guessfname);
	    options.add(maskfname);
	    options.add(use_mask);
	    options.add(perf_bet);
	    options.add(threshold);
	    options.add(pca_dim);
	    options.add(pca_est);
	    options.add(numICs);
	    options.add(approach);
	    options.add(nonlinearity);
	    options.add(varnorm);
	    options.add(segment);
	    options.add(tsmooth);
	    options.add(epsilon);
	    options.add(maxNumItt);
	    options.add(maxRestart);
	    options.add(mmthresh);
	    options.add(perf_mm);
	    options.add(ICsfname);
	    options.add(filtermix);
	    options.add(filter);
	    options.add(genreport);
	    options.add(tr);
	    options.add(logPower);
	    options.add(output_unmix);
	    options.add(output_MMstats);
	    options.add(output_pca);
	    options.add(output_white);
	    options.add(output_origIC);
	    options.add(output_mean);
	    options.add(verbose);
	    options.add(vers);
	    options.add(copyright);
	    options.add(help);
	   
	    options.add(guessfname);
	    options.add(paradigmfname); 
	    options.add(dummy);
	    options.add(repeats);
	    options.add(nlconst1);
	    options.add(nlconst2);
	    options.add(remove_meanvol);
	    options.add(remove_endslices);
	    options.add(guess_remderiv);
	    options.add(temporal);
     }
     catch(X_OptionError& e) {
       options.usage();
       cerr << endl << e.what() << endl;
     } 
     catch(std::exception &e) {
       cerr << e.what() << endl;
     }    
     
   }
}

#endif