/*---------------------------------------------------------------*/
MRI *fMRIhsynth(MRI *res, MRI *mask, int DoTNorm)
{
int c,r,s,f,nvox;
double val;
MRI *hsynth, *tvar=NULL;
double *svar, svarsum, tstdvox;
// Compute temporal variance at each voxel
if(DoTNorm) tvar = fMRIcovariance(res, 0, -1, mask, NULL);
// Compute spatial variance at each frame
svar = (double *) calloc(res->nframes,sizeof(double));
svarsum = 0;
for (f=0; f < res->nframes; f++) {
svar[f] = 0;
nvox = 0;
for (c=0; c < res->width; c++) {
for (r=0; r < res->height; r++) {
for (s=0; s < res->depth; s++) {
if(mask && MRIgetVoxVal(mask,c,r,s,0) == 0) continue;
val = MRIgetVoxVal(res,c,r,s,f);
if(DoTNorm){
tstdvox = sqrt(MRIgetVoxVal(tvar,c,r,s,0));
val /= tstdvox;
}
svar[f] += (val*val);
nvox ++;
}
}
}
svar[f] /= nvox;
svarsum += svar[f];
}
for (f=0; f < res->nframes; f++) svar[f] /= (svarsum/res->nframes);
for (f=0; f < res->nframes; f++) printf("%2d %g\n",f,svar[f]);
// Synth noise that is both spatially and temporally white and gaussian
hsynth = MRIrandn(res->width, res->height, res->depth, res->nframes, 0, 1, NULL);
MRIcopyHeader(res,hsynth);
// Scale by frame. Noise is still independent across
// space and time, but it is no longer homogeneous.
for (f=0; f < res->nframes; f++) {
for (c=0; c < res->width; c++) {
for (r=0; r < res->height; r++) {
for (s=0; s < res->depth; s++) {
if(mask && MRIgetVoxVal(mask,c,r,s,0) == 0) {
MRIsetVoxVal(hsynth,c,r,s,f,0);
continue;
}
val = MRIgetVoxVal(hsynth,c,r,s,f);
val *= sqrt(svar[f]);
MRIsetVoxVal(hsynth,c,r,s,f,val);
}
}
}
}
free(svar);
if(DoTNorm) MRIfree(&tvar);
return(hsynth);
}
/*--------------------------------------------------*/
int main(int argc, char **argv)
{
int nargs, nthin, nframestot=0, nr=0,nc=0,ns=0, fout;
int r,c,s,f,outf,nframes,err,nthrep;
double v, v1, v2, vavg, vsum;
int inputDatatype=MRI_UCHAR;
MATRIX *Upca=NULL,*Spca=NULL;
MRI *Vpca=NULL;
char *stem;
/* rkt: check for and handle version tag */
nargs = handle_version_option (argc, argv, vcid, "$Name: stable5 $");
if (nargs && argc - nargs == 1)
{
exit (0);
}
argc -= nargs;
Progname = argv[0] ;
argc --;
argv++;
ErrorInit(NULL, NULL, NULL) ;
DiagInit(NULL, NULL, NULL) ;
if (argc == 0)
{
usage_exit();
}
parse_commandline(argc, argv);
check_options();
dump_options(stdout);
if(maskfile)
{
printf("Loading mask %s\n",maskfile);
mask = MRIread(maskfile);
if(mask == NULL)
{
exit(1);
}
}
printf("ninputs = %d\n",ninputs);
if(DoCheck)
{
printf("Checking inputs\n");
for(nthin = 0; nthin < ninputs; nthin++)
{
if(Gdiag_no > 0 || debug)
{
printf("Checking %2d %s\n",nthin,inlist[nthin]);
fflush(stdout);
}
mritmp = MRIreadHeader(inlist[nthin],MRI_VOLUME_TYPE_UNKNOWN);
if (mritmp == NULL)
{
printf("ERROR: reading %s\n",inlist[nthin]);
exit(1);
}
if (nthin == 0)
{
nc = mritmp->width;
nr = mritmp->height;
ns = mritmp->depth;
}
if (mritmp->width != nc ||
mritmp->height != nr ||
mritmp->depth != ns)
{
printf("ERROR: dimension mismatch between %s and %s\n",
inlist[0],inlist[nthin]);
exit(1);
}
nframestot += mritmp->nframes;
inputDatatype = mritmp->type; // used by DoKeepDatatype option
MRIfree(&mritmp);
}
}
else
{
printf("NOT Checking inputs, assuming nframestot = ninputs\n");
nframestot = ninputs;
mritmp = MRIreadHeader(inlist[0],MRI_VOLUME_TYPE_UNKNOWN);
if (mritmp == NULL)
{
printf("ERROR: reading %s\n",inlist[0]);
exit(1);
}
nc = mritmp->width;
nr = mritmp->height;
ns = mritmp->depth;
MRIfree(&mritmp);
}
printf("nframestot = %d\n",nframestot);
if (DoRMS)
{
if (ninputs != 1)
{
printf("ERROR: --rms supports only single input w/ multiple frames\n");
exit (1);
}
if (nframestot == 1)
{
printf("ERROR: --rms input must have multiple frames\n");
exit (1);
}
}
if(ngroups != 0)
{
printf("Creating grouped mean matrix ngroups=%d, nper=%d\n",
ngroups,nframestot/ngroups);
M = GroupedMeanMatrix(ngroups,nframestot);
if(M==NULL)
{
exit(1);
}
if(debug)
{
MatrixPrint(stdout,M);
}
}
if(M != NULL)
{
if(nframestot != M->cols)
{
printf("ERROR: dimension mismatch between inputs (%d) and matrix (%d)\n",
nframestot,M->rows);
exit(1);
}
}
if (DoPaired)
{
if (remainder(nframestot,2) != 0)
{
printf("ERROR: --paired-xxx specified but there are an "
"odd number of frames\n");
exit(1);
}
}
printf("Allocing output\n");
fflush(stdout);
int datatype=MRI_FLOAT;
if (DoKeepDatatype)
{
datatype = inputDatatype;
}
if (DoRMS)
{
// RMS always has single frame output
mriout = MRIallocSequence(nc,nr,ns,datatype,1);
}
else
{
mriout = MRIallocSequence(nc,nr,ns,datatype,nframestot);
}
if (mriout == NULL)
{
exit(1);
}
printf("Done allocing\n");
fout = 0;
for (nthin = 0; nthin < ninputs; nthin++)
{
if (DoRMS) break; // MRIrms reads the input frames
if(Gdiag_no > 0 || debug)
{
printf("Loading %dth input %s\n",
nthin+1,fio_basename(inlist[nthin],NULL));
fflush(stdout);
}
mritmp = MRIread(inlist[nthin]);
if(mritmp == NULL)
{
printf("ERROR: loading %s\n",inlist[nthin]);
exit(1);
}
if(nthin == 0)
{
MRIcopyHeader(mritmp, mriout);
//mriout->nframes = nframestot;
}
if(DoAbs)
{
if(Gdiag_no > 0 || debug)
{
printf("Removing sign from input\n");
}
MRIabs(mritmp,mritmp);
}
if(DoPos)
{
if(Gdiag_no > 0 || debug)
{
printf("Setting input negatives to 0.\n");
}
MRIpos(mritmp,mritmp);
}
if(DoNeg)
{
if(Gdiag_no > 0 || debug)
{
printf("Setting input positives to 0.\n");
}
MRIneg(mritmp,mritmp);
}
for(f=0; f < mritmp->nframes; f++)
{
for(c=0; c < nc; c++)
{
for(r=0; r < nr; r++)
{
for(s=0; s < ns; s++)
{
v = MRIgetVoxVal(mritmp,c,r,s,f);
MRIsetVoxVal(mriout,c,r,s,fout,v);
}
}
}
fout++;
}
MRIfree(&mritmp);
}
if(DoCombine)
{
// Average frames from non-zero voxels
int nhits;
mritmp = MRIallocSequence(nc,nr,ns,MRI_FLOAT,1);
MRIcopyHeader(mritmp,mriout);
for(c=0; c < nc; c++)
{
for(r=0; r < nr; r++)
{
for(s=0; s < ns; s++)
{
nhits = 0;
vsum = 0;
for(f=0; f < mriout->nframes; f++)
{
v = MRIgetVoxVal(mriout,c,r,s,f);
if (v > 0)
{
vsum += v;
nhits ++;
}
}
if(nhits > 0 )
{
MRIsetVoxVal(mritmp,c,r,s,0,vsum/nhits);
}
} // for s
}// for r
} // for c
MRIfree(&mriout);
mriout = mritmp;
} // do combine
if(DoPrune)
{
// This computes the prune mask, applied below
printf("Computing prune mask \n");
PruneMask = MRIframeBinarize(mriout,FLT_MIN,NULL);
printf("Found %d voxels in prune mask\n",MRInMask(PruneMask));
}
if(DoNormMean)
{
printf("Normalizing by mean across frames\n");
MRInormalizeFramesMean(mriout);
}
if(DoNorm1)
{
printf("Normalizing by first across frames\n");
MRInormalizeFramesFirst(mriout);
}
if(DoASL)
{
printf("Computing ASL matrix matrix\n");
M = ASLinterpMatrix(mriout->nframes);
}
if(M != NULL)
{
printf("Multiplying by matrix\n");
mritmp = fMRImatrixMultiply(mriout, M, NULL);
if(mritmp == NULL)
{
exit(1);
}
MRIfree(&mriout);
mriout = mritmp;
}
if(DoPaired)
{
printf("Combining pairs\n");
mritmp = MRIcloneBySpace(mriout,-1,mriout->nframes/2);
for (c=0; c < nc; c++)
{
for (r=0; r < nr; r++)
{
for (s=0; s < ns; s++)
{
fout = 0;
for (f=0; f < mriout->nframes; f+=2)
{
v1 = MRIgetVoxVal(mriout,c,r,s,f);
v2 = MRIgetVoxVal(mriout,c,r,s,f+1);
v = 0;
if(DoPairedAvg)
{
v = (v1+v2)/2.0;
}
if(DoPairedSum)
{
v = (v1+v2);
}
if(DoPairedDiff)
{
v = v1-v2; // difference
}
if(DoPairedDiffNorm)
{
v = v1-v2; // difference
vavg = (v1+v2)/2.0;
if (vavg != 0.0)
{
v = v/vavg;
}
}
if(DoPairedDiffNorm1)
{
v = v1-v2; // difference
if (v1 != 0.0)
{
v = v/v1;
}
else
{
v = 0;
}
}
if(DoPairedDiffNorm2)
{
v = v1-v2; // difference
if (v2 != 0.0)
{
v = v/v2;
}
else
{
v = 0;
}
}
MRIsetVoxVal(mritmp,c,r,s,fout,v);
fout++;
}
}
}
}
MRIfree(&mriout);
mriout = mritmp;
}
nframes = mriout->nframes;
printf("nframes = %d\n",nframes);
if(DoBonfCor)
{
DoAdd = 1;
AddVal = -log10(mriout->nframes);
}
if(DoMean)
{
printf("Computing mean across frames\n");
mritmp = MRIframeMean(mriout,NULL);
MRIfree(&mriout);
mriout = mritmp;
}
if(DoMedian)
{
printf("Computing median across frames\n");
mritmp = MRIframeMedian(mriout,NULL);
MRIfree(&mriout);
mriout = mritmp;
}
if(DoMeanDivN)
{
printf("Computing mean2 = sum/(nframes^2)\n");
mritmp = MRIframeSum(mriout,NULL);
MRIfree(&mriout);
mriout = mritmp;
MRImultiplyConst(mriout, 1.0/(nframes*nframes), mriout);
}
if(DoSum)
{
printf("Computing sum across frames\n");
mritmp = MRIframeSum(mriout,NULL);
MRIfree(&mriout);
mriout = mritmp;
}
if(DoTAR1)
{
printf("Computing temoral AR1 %d\n",mriout->nframes-TAR1DOFAdjust);
mritmp = fMRItemporalAR1(mriout,TAR1DOFAdjust,NULL,NULL);
MRIfree(&mriout);
mriout = mritmp;
}
if(DoStd || DoVar)
{
printf("Computing std/var across frames\n");
if(mriout->nframes < 2)
{
printf("ERROR: cannot compute std from one frame\n");
exit(1);
}
//mritmp = fMRIvariance(mriout, -1, 1, NULL);
mritmp = fMRIcovariance(mriout, 0, -1, NULL, NULL);
if(DoStd)
{
MRIsqrt(mritmp, mritmp);
}
MRIfree(&mriout);
mriout = mritmp;
}
if(DoMax)
{
printf("Computing max across all frames \n");
mritmp = MRIvolMax(mriout,NULL);
MRIfree(&mriout);
mriout = mritmp;
}
if(DoMaxIndex)
{
printf("Computing max index across all frames \n");
mritmp = MRIvolMaxIndex(mriout,1,NULL,NULL);
MRIfree(&mriout);
mriout = mritmp;
}
if(DoConjunction)
{
printf("Computing conjunction across all frames \n");
mritmp = MRIconjunct(mriout,NULL);
MRIfree(&mriout);
mriout = mritmp;
}
if(DoMin)
{
printf("Computing min across all frames \n");
mritmp = MRIvolMin(mriout,NULL);
MRIfree(&mriout);
mriout = mritmp;
}
if(DoSort)
{
printf("Sorting \n");
mritmp = MRIsort(mriout,mask,NULL);
MRIfree(&mriout);
mriout = mritmp;
}
if(DoVote)
{
printf("Voting \n");
mritmp = MRIvote(mriout,mask,NULL);
MRIfree(&mriout);
mriout = mritmp;
}
if(DoMultiply)
{
printf("Multiplying by %lf\n",MultiplyVal);
MRImultiplyConst(mriout, MultiplyVal, mriout);
}
if(DoAdd)
{
printf("Adding %lf\n",AddVal);
MRIaddConst(mriout, AddVal, mriout);
}
if(DoSCM)
{
printf("Computing spatial correlation matrix (%d)\n",mriout->nframes);
mritmp = fMRIspatialCorMatrix(mriout);
if(mritmp == NULL)
{
exit(1);
}
MRIfree(&mriout);
mriout = mritmp;
}
if(DoPCA)
{
// Saves only non-zero components
printf("Computing PCA\n");
if(PCAMaskFile)
{
printf(" PCA Mask %s\n",PCAMaskFile);
PCAMask = MRIread(PCAMaskFile);
if(PCAMask == NULL)
{
exit(1);
}
}
err=MRIpca(mriout, &Upca, &Spca, &Vpca, PCAMask);
if(err)
{
exit(1);
}
stem = IDstemFromName(out);
sprintf(tmpstr,"%s.u.mtx",stem);
MatrixWriteTxt(tmpstr, Upca);
sprintf(tmpstr,"%s.stats.dat",stem);
WritePCAStats(tmpstr,Spca);
MRIfree(&mriout);
mriout = Vpca;
}
if(NReplications > 0)
{
printf("NReplications %d\n",NReplications);
mritmp = MRIallocSequence(mriout->width,
mriout->height,
mriout->depth,
mriout->type,
mriout->nframes*NReplications);
if(mritmp == NULL)
{
exit(1);
}
printf("Done allocing\n");
MRIcopyHeader(mriout,mritmp);
for(c=0; c < mriout->width; c++)
{
for(r=0; r < mriout->height; r++)
{
for(s=0; s < mriout->depth; s++)
{
outf = 0;
for(nthrep = 0; nthrep < NReplications; nthrep++)
{
for(f=0; f < mriout->nframes; f++)
{
v = MRIgetVoxVal(mriout,c,r,s,f);
MRIsetVoxVal(mritmp,c,r,s,outf,v);
outf ++;
}
}
}
}
}
MRIfree(&mriout);
mriout = mritmp;
}
if(DoPrune)
{
// Apply prune mask that was computed above
printf("Applying prune mask \n");
MRImask(mriout, PruneMask, mriout, 0, 0);
}
if(DoRMS)
{
printf("Computing RMS across input frames\n");
mritmp = MRIread(inlist[0]);
MRIcopyHeader(mritmp, mriout);
MRIrms(mritmp,mriout);
}
printf("Writing to %s\n",out);
err = MRIwrite(mriout,out);
if(err)
{
exit(err);
}
return(0);
}
