/* fwdmodel_flobs.cc - Does FLOBS Adrian Groves, FMRIB Image Analysis Group Copyright (C) 2007 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"). 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Contact details are: innovation@isis.ox.ac.uk quoting reference DE/9564. */ #include "fwdmodel_flobs.h" #include #include #include #include "newimage/newimageall.h" using namespace NEWIMAGE; #include "easylog.h" string FlobsFwdModel::ModelVersion() const { return "$Id: fwdmodel_flobs.cc,v 1.4 2008/04/03 13:22:39 adriang Exp $"; } void FlobsFwdModel::HardcodedInitialDists(MVNDist& prior, MVNDist& posterior) const { Tracer_Plus tr("FlobsFwdModel::HardcodedInitialDists"); assert(prior.means.Nrows() == NumParams()); // Set priors prior.means = 0; SymmetricMatrix precisions = IdentityMatrix(NumParams()) * 1e-12; prior.SetPrecisions(precisions); posterior = prior; // if (useSeparateScale) // { // // Set informative initial posterior // // Shape = first basis function, magnitude 1. // posterior.means(1) = 1; // posterior.means(NumParams()) = 1; // } } void FlobsFwdModel::Evaluate(const ColumnVector& params, ColumnVector& result) const { Tracer_Plus tr("FlobsFwdModel::Evaluate"); assert(params.Nrows() == NumParams()); // if (useSeparateScale) // { // ColumnVector beta = params.Rows(1,basis.Ncols()); // //double betaBar = params(NumParams()); // result = basis * beta; // * betaBar; Now it's purely linear and ignore betaBar! // assert(false); // TODO: update for nuisance parameters // } if (usePolarCoordinates) { assert(basis.Ncols() == 2); ColumnVector beta = params.Rows(1,basis.Ncols()); double betaBar = params(1); beta(1) = cos(beta(2)); beta(2) = sin(beta(2)); result = basis * beta * betaBar; // No nuisance stuff yet. assert(params.Nrows() == 2); } else { ColumnVector beta = params.Rows(1,basis.Ncols()); double betaBar = params(1); beta(1) = 1.0; // fixed shape=1, scale=betaBar result = basis * beta * betaBar; beta = params.Rows(basis.Ncols()+1,params.Nrows()); result += nuisanceBasis * beta; } return; // answer is in the "result" vector } void FlobsFwdModel::ModelUsage() { // if (useSeparateScale) { cout << "Usage for --model=flobs6:\n" << " --basis=\n" << " A scale parameter will automatically be added.\n" << " Always use with the --flobs-prior-adjust option!!! \n" << " (Future work: specify several scaling factors, for multi-event stimuli)\n\n"; } // else { cout << "Usage for --model=flobs5:\n" << " --basis=\n" << " The first basis function will serve as the scaling factor (fixed shape==1)\n"; } // TODO: add --nuisance= option } FlobsFwdModel::FlobsFwdModel(ArgsType& args, bool polar) // : useSeparateScale(sepScale) : usePolarCoordinates(polar) { string basisFile = args.Read("basis"); LOG_ERR( " Reading basis functions: " << basisFile << endl ); basis = read_vest(basisFile); LOG_ERR( " Read " << basis.Ncols() << " basis functions of length " << basis.Nrows() << endl); basisFile = args.ReadWithDefault("nuisance","null"); if (basisFile == "null") { nuisanceBasis.ReSize(basis.Nrows(), 0); } else if (basisFile == "offset") { nuisanceBasis.ReSize(basis.Nrows(), 1); nuisanceBasis = 1; } else { LOG_ERR( " Reading nuisance basis functions: " << basisFile << endl ); nuisanceBasis = read_vest(basisFile); LOG_ERR( " Read " << nuisanceBasis.Ncols() << " nuisance basis functions of length " << nuisanceBasis.Nrows() << endl); } if (nuisanceBasis.Nrows() != basis.Nrows()) throw Invalid_option("Basis length mismatch!\n"); } void FlobsFwdModel::DumpParameters(const ColumnVector& vec, const string& indent) const { // if (useSeparateScale) // LOG << indent << "Scale = " << vec(NumParams()) << ", shape:\n" // << vec.Rows(1, NumParams()-1); // else LOG << indent << "Scale = " << vec(1) << ", shape:\n1 (fixed)\n" << vec.Rows(2, NumParams()); // TODO: should dump nuisanceBasis too } void FlobsFwdModel::NameParams(vector& names) const { names.clear(); for (int i = 1; i <= basis.Ncols(); i++) names.push_back("basis_" + stringify(i)); // if (useSeparateScale) // names.push_back("scale"); for (int i = 1; i <= nuisanceBasis.Ncols(); i++) names.push_back("nuisance_"+stringify(i)); assert(names.size() == (unsigned)NumParams()); }