int
main(int argc, char *argv[])
{
double thresh ;
MRI *mri, *mri_abs ;
char *out_stem, fname[STRLEN] ;
MRI_SEGMENTATION *mriseg ;
int s ;
LABEL *area ;
Progname = argv[0] ;
ErrorInit(NULL, NULL, NULL) ;
DiagInit(NULL, NULL, NULL) ;
mri = MRIread(argv[1]) ;
if (mri == NULL)
ErrorExit(ERROR_NOFILE, "%s: could not load MRI from %s\n", Progname, argv[1]) ;
if (use_abs)
mri_abs = MRIabs(mri, NULL) ;
else
mri_abs = MRIcopy(mri, NULL) ;
thresh = atof(argv[2]) ;
out_stem = argv[3] ;
mriseg = MRIsegment(mri, thresh, 1e10) ;
MRIremoveSmallSegments(mriseg, size_thresh) ;
printf("segmenting volume at threshold %2.1f yields %d segments\n", thresh, mriseg->nsegments) ;
for (s = 0 ; s < mriseg->nsegments ; s++)
{
area = MRIsegmentToLabel(mriseg, mri_abs, s) ;
sprintf(fname, "%s.%3.3d.label", out_stem, s) ;
LabelWrite(area, fname) ;
}
return(0) ;
}
/*---------------------------------------------------------------*/
int main(int argc, char *argv[]) {
int nargs, n, err;
char tmpstr[2000], *signstr=NULL,*SUBJECTS_DIR, fname[2000];
//char *OutDir = NULL;
RFS *rfs;
int nSmoothsPrev, nSmoothsDelta;
MRI *z, *zabs=NULL, *sig=NULL, *p=NULL;
int FreeMask = 0;
int nthSign, nthFWHM, nthThresh;
double sigmax, zmax, threshadj, csize, csizeavg, searchspace,avgvtxarea;
int csizen;
int nClusters, cmax,rmax,smax;
SURFCLUSTERSUM *SurfClustList;
struct timeb mytimer;
LABEL *clabel;
FILE *fp, *fpLog=NULL;
nargs = handle_version_option (argc, argv, vcid, "$Name: stable5 $");
if (nargs && argc - nargs == 1) exit (0);
argc -= nargs;
cmdline = argv2cmdline(argc,argv);
uname(&uts);
getcwd(cwd,2000);
Progname = argv[0] ;
argc --;
argv++;
ErrorInit(NULL, NULL, NULL) ;
DiagInit(NULL, NULL, NULL) ;
if (argc == 0) usage_exit();
parse_commandline(argc, argv);
check_options();
if (checkoptsonly) return(0);
dump_options(stdout);
if(LogFile){
fpLog = fopen(LogFile,"w");
if(fpLog == NULL){
printf("ERROR: opening %s\n",LogFile);
exit(1);
}
dump_options(fpLog);
}
if(SynthSeed < 0) SynthSeed = PDFtodSeed();
srand48(SynthSeed);
SUBJECTS_DIR = getenv("SUBJECTS_DIR");
// Create output directory
printf("Creating %s\n",OutTop);
err = fio_mkdirp(OutTop,0777);
if(err) exit(1);
for(nthFWHM=0; nthFWHM < nFWHMList; nthFWHM++){
for(nthThresh = 0; nthThresh < nThreshList; nthThresh++){
for(nthSign = 0; nthSign < nSignList; nthSign++){
if(SignList[nthSign] == 0) signstr = "abs";
if(SignList[nthSign] == +1) signstr = "pos";
if(SignList[nthSign] == -1) signstr = "neg";
sprintf(tmpstr,"%s/fwhm%02d/%s/th%02d",
OutTop,(int)round(FWHMList[nthFWHM]),
signstr,(int)round(10*ThreshList[nthThresh]));
sprintf(fname,"%s/%s.csd",tmpstr,csdbase);
if(fio_FileExistsReadable(fname)){
printf("ERROR: output file %s exists\n",fname);
if(fpLog) fprintf(fpLog,"ERROR: output file %s exists\n",fname);
exit(1);
}
err = fio_mkdirp(tmpstr,0777);
if(err) exit(1);
}
}
}
// Load the target surface
sprintf(tmpstr,"%s/%s/surf/%s.%s",SUBJECTS_DIR,subject,hemi,surfname);
printf("Loading %s\n",tmpstr);
surf = MRISread(tmpstr);
if(!surf) return(1);
// Handle masking
if(LabelFile){
printf("Loading label file %s\n",LabelFile);
sprintf(tmpstr,"%s/%s/label/%s.%s.label",
SUBJECTS_DIR,subject,hemi,LabelFile);
if(!fio_FileExistsReadable(tmpstr)){
printf(" Cannot find label file %s\n",tmpstr);
sprintf(tmpstr,"%s",LabelFile);
printf(" Trying label file %s\n",tmpstr);
if(!fio_FileExistsReadable(tmpstr)){
printf(" ERROR: cannot read or find label file %s\n",LabelFile);
exit(1);
}
}
printf("Loading %s\n",tmpstr);
clabel = LabelRead(NULL, tmpstr);
mask = MRISlabel2Mask(surf, clabel, NULL);
FreeMask = 1;
}
if(MaskFile){
printf("Loading %s\n",MaskFile);
mask = MRIread(MaskFile);
if(mask == NULL) exit(1);
}
if(mask && SaveMask){
sprintf(tmpstr,"%s/mask.mgh",OutTop);
printf("Saving mask to %s\n",tmpstr);
err = MRIwrite(mask,tmpstr);
if(err) exit(1);
}
// Compute search space
searchspace = 0;
nmask = 0;
for(n=0; n < surf->nvertices; n++){
if(mask && MRIgetVoxVal(mask,n,0,0,0) < 0.5) continue;
searchspace += surf->vertices[n].area;
nmask++;
}
printf("Found %d voxels in mask\n",nmask);
if(surf->group_avg_surface_area > 0)
searchspace *= (surf->group_avg_surface_area/surf->total_area);
printf("search space %g mm2\n",searchspace);
avgvtxarea = searchspace/nmask;
printf("average vertex area %g mm2\n",avgvtxarea);
// Determine how many iterations are needed for each FWHM
nSmoothsList = (int *) calloc(sizeof(int),nFWHMList);
for(nthFWHM=0; nthFWHM < nFWHMList; nthFWHM++){
nSmoothsList[nthFWHM] = MRISfwhm2niters(FWHMList[nthFWHM], surf);
printf("%2d %5.1f %4d\n",nthFWHM,FWHMList[nthFWHM],nSmoothsList[nthFWHM]);
if(fpLog) fprintf(fpLog,"%2d %5.1f %4d\n",nthFWHM,FWHMList[nthFWHM],nSmoothsList[nthFWHM]);
}
printf("\n");
// Allocate the CSDs
for(nthFWHM=0; nthFWHM < nFWHMList; nthFWHM++){
for(nthThresh = 0; nthThresh < nThreshList; nthThresh++){
for(nthSign = 0; nthSign < nSignList; nthSign++){
csd = CSDalloc();
sprintf(csd->simtype,"%s","null-z");
sprintf(csd->anattype,"%s","surface");
sprintf(csd->subject,"%s",subject);
sprintf(csd->hemi,"%s",hemi);
sprintf(csd->contrast,"%s","NA");
csd->seed = SynthSeed;
csd->nreps = nRepetitions;
csd->thresh = ThreshList[nthThresh];
csd->threshsign = SignList[nthSign];
csd->nullfwhm = FWHMList[nthFWHM];
csd->varfwhm = -1;
csd->searchspace = searchspace;
CSDallocData(csd);
csdList[nthFWHM][nthThresh][nthSign] = csd;
}
}
}
// Alloc the z map
z = MRIallocSequence(surf->nvertices, 1,1, MRI_FLOAT, 1);
// Set up the random field specification
rfs = RFspecInit(SynthSeed,NULL);
rfs->name = strcpyalloc("gaussian");
rfs->params[0] = 0;
rfs->params[1] = 1;
printf("Thresholds (%d): ",nThreshList);
for(n=0; n < nThreshList; n++) printf("%5.2f ",ThreshList[n]);
printf("\n");
printf("Signs (%d): ",nSignList);
for(n=0; n < nSignList; n++) printf("%2d ",SignList[n]);
printf("\n");
printf("FWHM (%d): ",nFWHMList);
for(n=0; n < nFWHMList; n++) printf("%5.2f ",FWHMList[n]);
printf("\n");
// Start the simulation loop
printf("\n\nStarting Simulation over %d Repetitions\n",nRepetitions);
if(fpLog) fprintf(fpLog,"\n\nStarting Simulation over %d Repetitions\n",nRepetitions);
TimerStart(&mytimer) ;
for(nthRep = 0; nthRep < nRepetitions; nthRep++){
msecTime = TimerStop(&mytimer) ;
printf("%5d %7.1f ",nthRep,(msecTime/1000.0)/60);
if(fpLog) {
fprintf(fpLog,"%5d %7.1f ",nthRep,(msecTime/1000.0)/60);
fflush(fpLog);
}
// Synthesize an unsmoothed z map
RFsynth(z,rfs,mask);
nSmoothsPrev = 0;
// Loop through FWHMs
for(nthFWHM=0; nthFWHM < nFWHMList; nthFWHM++){
printf("%d ",nthFWHM);
if(fpLog) {
fprintf(fpLog,"%d ",nthFWHM);
fflush(fpLog);
}
nSmoothsDelta = nSmoothsList[nthFWHM] - nSmoothsPrev;
nSmoothsPrev = nSmoothsList[nthFWHM];
// Incrementally smooth z
MRISsmoothMRI(surf, z, nSmoothsDelta, mask, z); // smooth z
// Rescale
RFrescale(z,rfs,mask,z);
// Slightly tortured way to get the right p-values because
// RFstat2P() computes one-sided, but I handle sidedness
// during thresholding.
// First, use zabs to get a two-sided pval bet 0 and 0.5
zabs = MRIabs(z,zabs);
p = RFstat2P(zabs,rfs,mask,0,p);
// Next, mult pvals by 2 to get two-sided bet 0 and 1
MRIscalarMul(p,p,2.0);
sig = MRIlog10(p,NULL,sig,1); // sig = -log10(p)
for(nthThresh = 0; nthThresh < nThreshList; nthThresh++){
for(nthSign = 0; nthSign < nSignList; nthSign++){
csd = csdList[nthFWHM][nthThresh][nthSign];
// If test is not ABS then apply the sign
if(csd->threshsign != 0) MRIsetSign(sig,z,0);
// Get the max stats
sigmax = MRIframeMax(sig,0,mask,csd->threshsign,
&cmax,&rmax,&smax);
zmax = MRIgetVoxVal(z,cmax,rmax,smax,0);
if(csd->threshsign == 0){
zmax = fabs(zmax);
sigmax = fabs(sigmax);
}
// Mask
if(mask) MRImask(sig,mask,sig,0.0,0.0);
// Surface clustering
MRIScopyMRI(surf, sig, 0, "val");
if(csd->threshsign == 0) threshadj = csd->thresh;
else threshadj = csd->thresh - log10(2.0); // one-sided test
SurfClustList = sclustMapSurfClusters(surf,threshadj,-1,csd->threshsign,
0,&nClusters,NULL);
// Actual area of cluster with max area
csize = sclustMaxClusterArea(SurfClustList, nClusters);
// Number of vertices of cluster with max number of vertices.
// Note: this may be a different cluster from above!
csizen = sclustMaxClusterCount(SurfClustList, nClusters);
// Area of this cluster based on average vertex area. This just scales
// the number of vertices.
csizeavg = csizen * avgvtxarea;
if(UseAvgVtxArea) csize = csizeavg;
// Store results
csd->nClusters[nthRep] = nClusters;
csd->MaxClusterSize[nthRep] = csize;
csd->MaxSig[nthRep] = sigmax;
csd->MaxStat[nthRep] = zmax;
} // Sign
} // Thresh
} // FWHM
printf("\n");
if(fpLog) fprintf(fpLog,"\n");
if(SaveEachIter || fio_FileExistsReadable(SaveFile)) SaveOutput();
if(fio_FileExistsReadable(StopFile)) {
printf("Found stop file %s\n",StopFile);
goto finish;
}
} // Simulation Repetition
finish:
SaveOutput();
msecTime = TimerStop(&mytimer) ;
printf("Total Sim Time %g min (%g per rep)\n",
msecTime/(1000*60.0),(msecTime/(1000*60.0))/nthRep);
if(fpLog) fprintf(fpLog,"Total Sim Time %g min (%g per rep)\n",
msecTime/(1000*60.0),(msecTime/(1000*60.0))/nthRep);
if(DoneFile){
fp = fopen(DoneFile,"w");
fprintf(fp,"%g\n",msecTime/(1000*60.0));
fclose(fp);
}
printf("mri_mcsim done\n");
if(fpLog){
fprintf(fpLog,"mri_mcsim done\n");
fclose(fpLog);
}
exit(0);
}
/*---------------------------------------------------------------*/
int main(int argc, char **argv)
{
int c,r,s,f;
double val,rval;
FILE *fp;
MRI *mritmp;
Progname = argv[0] ;
argc --;
argv++;
ErrorInit(NULL, NULL, NULL) ;
DiagInit(NULL, NULL, NULL) ;
/* assign default geometry */
cdircos[0] = 1.0;
cdircos[1] = 0.0;
cdircos[2] = 0.0;
rdircos[0] = 0.0;
rdircos[1] = 1.0;
rdircos[2] = 0.0;
sdircos[0] = 0.0;
sdircos[1] = 0.0;
sdircos[2] = 1.0;
res[0] = 1.0;
res[1] = 1.0;
res[2] = 1.0;
cras[0] = 0.0;
cras[1] = 0.0;
cras[2] = 0.0;
res[3] = 2.0; /* TR */
if (argc == 0) usage_exit();
parse_commandline(argc, argv);
check_options();
dump_options(stdout);
if(tempid != NULL) {
printf("INFO: reading template header\n");
if(! DoCurv) mritemp = MRIreadHeader(tempid,tempfmtid);
else mritemp = MRIread(tempid);
if (mritemp == NULL) {
printf("ERROR: reading %s header\n",tempid);
exit(1);
}
if(NewVoxSizeSpeced){
dim[0] = round(mritemp->width*mritemp->xsize/res[0]);
dim[1] = round(mritemp->height*mritemp->ysize/res[1]);
dim[2] = round(mritemp->depth*mritemp->zsize/res[2]);
dim[3] = mritemp->nframes;
res[3] = mritemp->tr;
dimSpeced = 1;
}
if(dimSpeced){
mritmp = MRIallocSequence(dim[0],dim[1],dim[2],MRI_FLOAT,dim[3]);
MRIcopyHeader(mritemp,mritmp);
MRIfree(&mritemp);
mritemp = mritmp;
}
if(resSpeced){
mritemp->xsize = res[0];
mritemp->ysize = res[1];
mritemp->zsize = res[2];
mritemp->tr = res[3];
}
dim[0] = mritemp->width;
dim[1] = mritemp->height;
dim[2] = mritemp->depth;
if (nframes > 0) dim[3] = nframes;
else dim[3] = mritemp->nframes;
mritemp->nframes = dim[3];
}
if(mritemp) {
if(SpikeTP >= mritemp->nframes){
printf("ERROR: SpikeTP = %d >= mritemp->nframes = %d\n",
SpikeTP,mritemp->nframes);
exit(1);
}
}
printf("Synthesizing\n");
srand48(seed);
if (strcmp(pdfname,"gaussian")==0)
mri = MRIrandn(dim[0], dim[1], dim[2], dim[3], gausmean, gausstd, NULL);
else if (strcmp(pdfname,"uniform")==0)
mri = MRIdrand48(dim[0], dim[1], dim[2], dim[3], 0, 1, NULL);
else if (strcmp(pdfname,"const")==0)
mri = MRIconst(dim[0], dim[1], dim[2], dim[3], ValueA, NULL);
else if (strcmp(pdfname,"sphere")==0) {
if(voxradius < 0)
voxradius =
sqrt( pow(dim[0]/2.0,2)+pow(dim[1]/2.0,2)+pow(dim[2]/2.0,2) )/2.0;
printf("voxradius = %lf\n",voxradius);
mri = MRIsphereMask(dim[0], dim[1], dim[2], dim[3],
dim[0]/2.0, dim[1]/2.0, dim[2]/2.0,
voxradius, ValueA, NULL);
} else if (strcmp(pdfname,"delta")==0) {
mri = MRIconst(dim[0], dim[1], dim[2], dim[3], delta_off_value, NULL);
if (delta_crsf_speced == 0) {
delta_crsf[0] = dim[0]/2;
delta_crsf[1] = dim[1]/2;
delta_crsf[2] = dim[2]/2;
delta_crsf[3] = dim[3]/2;
}
printf("delta set to %g at %d %d %d %d\n",delta_value,delta_crsf[0],
delta_crsf[1],delta_crsf[2],delta_crsf[3]);
MRIFseq_vox(mri,
delta_crsf[0],
delta_crsf[1],
delta_crsf[2],
delta_crsf[3]) = delta_value;
} else if (strcmp(pdfname,"chi2")==0) {
rfs = RFspecInit(seed,NULL);
rfs->name = strcpyalloc("chi2");
rfs->params[0] = dendof;
mri = MRIconst(dim[0], dim[1], dim[2], dim[3], 0, NULL);
printf("Synthesizing chi2 with dof=%d\n",dendof);
RFsynth(mri,rfs,NULL);
} else if (strcmp(pdfname,"z")==0) {
printf("Synthesizing z \n");
rfs = RFspecInit(seed,NULL);
rfs->name = strcpyalloc("gaussian");
rfs->params[0] = 0; // mean
rfs->params[1] = 1; // std
mri = MRIconst(dim[0], dim[1], dim[2], dim[3], 0, NULL);
RFsynth(mri,rfs,NULL);
} else if (strcmp(pdfname,"t")==0) {
printf("Synthesizing t with dof=%d\n",dendof);
rfs = RFspecInit(seed,NULL);
rfs->name = strcpyalloc("t");
rfs->params[0] = dendof;
mri = MRIconst(dim[0], dim[1], dim[2], dim[3], 0, NULL);
RFsynth(mri,rfs,NULL);
} else if (strcmp(pdfname,"tr")==0) {
printf("Synthesizing t with dof=%d as ratio of z/sqrt(chi2)\n",dendof);
rfs = RFspecInit(seed,NULL);
// numerator
rfs->name = strcpyalloc("gaussian");
rfs->params[0] = 0; // mean
rfs->params[1] = 1; // std
mri = MRIconst(dim[0], dim[1], dim[2], dim[3], 0, NULL);
RFsynth(mri,rfs,NULL);
// denominator
rfs->name = strcpyalloc("chi2");
rfs->params[0] = dendof;
mri2 = MRIconst(dim[0], dim[1], dim[2], dim[3], 0, NULL);
RFsynth(mri2,rfs,NULL);
fMRIsqrt(mri2,mri2); // sqrt of chi2
mri = MRIdivide(mri,mri2,mri);
MRIscalarMul(mri, mri, sqrt(dendof)) ;
MRIfree(&mri2);
} else if (strcmp(pdfname,"F")==0) {
printf("Synthesizing F with num=%d den=%d\n",numdof,dendof);
rfs = RFspecInit(seed,NULL);
rfs->name = strcpyalloc("F");
rfs->params[0] = numdof;
rfs->params[1] = dendof;
mri = MRIconst(dim[0], dim[1], dim[2], dim[3], 0, NULL);
RFsynth(mri,rfs,NULL);
} else if (strcmp(pdfname,"Fr")==0) {
printf("Synthesizing F with num=%d den=%d as ratio of two chi2\n",
numdof,dendof);
rfs = RFspecInit(seed,NULL);
rfs->name = strcpyalloc("chi2");
// numerator
rfs->params[0] = numdof;
mri = MRIconst(dim[0], dim[1], dim[2], dim[3], 0, NULL);
RFsynth(mri,rfs,NULL);
// denominator
rfs->params[0] = dendof;
mri2 = MRIconst(dim[0], dim[1], dim[2], dim[3], 0, NULL);
RFsynth(mri2,rfs,NULL);
mri = MRIdivide(mri,mri2,mri);
MRIscalarMul(mri, mri, (double)dendof/numdof) ;
MRIfree(&mri2);
} else if (strcmp(pdfname,"voxcrs")==0) {
// three frames. 1st=col, 2nd=row, 3rd=slice
printf("Filling with vox CRS\n");
mri = MRIconst(dim[0], dim[1], dim[2], 3, 0, NULL);
for(c=0; c < mri->width; c ++){
for(r=0; r < mri->height; r ++){
for(s=0; s < mri->depth; s ++){
MRIsetVoxVal(mri,c,r,s,0,c);
MRIsetVoxVal(mri,c,r,s,1,r);
MRIsetVoxVal(mri,c,r,s,2,s);
}
}
}
} else if (strcmp(pdfname,"boundingbox")==0) {
printf("Setting bounding box \n");
if(mritemp == NULL)
mritemp = MRIconst(dim[0], dim[1], dim[2], dim[3], 0, NULL);
mri = MRIsetBoundingBox(mritemp,&boundingbox,ValueA,ValueB);
if(!mri) exit(1);
}
else if (strcmp(pdfname,"checker")==0) {
printf("Checker \n");
mri=MRIchecker(mritemp,NULL);
if(!mri) exit(1);
}
else if (strcmp(pdfname,"sliceno")==0) {
printf("SliceNo \n");
if(mritemp == NULL){
printf("ERROR: need --temp with sliceno\n");
exit(1);
}
mri=MRIsliceNo(mritemp,NULL);
if(!mri) exit(1);
}
else if (strcmp(pdfname,"indexno")==0) {
printf("IndexNo \n");
if(mritemp == NULL){
printf("ERROR: need --temp with indexno\n");
exit(1);
}
mri=MRIindexNo(mritemp,NULL);
if(!mri) exit(1);
}
else if (strcmp(pdfname,"crs")==0) {
printf("CRS \n");
if(mritemp == NULL){
printf("ERROR: need --temp with crs\n");
exit(1);
}
mri=MRIcrs(mritemp,NULL);
if(!mri) exit(1);
}
else {
printf("ERROR: pdf %s unrecognized, must be gaussian, uniform,\n"
"const, delta, checker\n", pdfname);
exit(1);
}
if (tempid != NULL) {
MRIcopyHeader(mritemp,mri);
mri->type = MRI_FLOAT;
// Override
if(nframes > 0) mri->nframes = nframes;
if(TR > 0) mri->tr = TR;
} else {
if(mri == NULL) {
usage_exit();
}
mri->xsize = res[0];
mri->ysize = res[1];
mri->zsize = res[2];
mri->tr = res[3];
mri->x_r = cdircos[0];
mri->x_a = cdircos[1];
mri->x_s = cdircos[2];
mri->y_r = rdircos[0];
mri->y_a = rdircos[1];
mri->y_s = rdircos[2];
mri->z_r = sdircos[0];
mri->z_a = sdircos[1];
mri->z_s = sdircos[2];
if(!usep0){
mri->c_r = cras[0];
mri->c_a = cras[1];
mri->c_s = cras[2];
}
else MRIp0ToCRAS(mri, p0[0], p0[1], p0[2]);
}
if (gstd > 0) {
if(!UseFFT){
printf("Smoothing\n");
MRIgaussianSmooth(mri, gstd, gmnnorm, mri); /* gmnnorm = 1 = normalize */
}
else {
printf("Smoothing with FFT \n");
mri2 = MRIcopy(mri,NULL);
mri = MRI_fft_gaussian(mri2, mri,
gstd, gmnnorm); /* gmnnorm = 1 = normalize */
}
if (rescale) {
printf("Rescaling\n");
if (strcmp(pdfname,"z")==0) RFrescale(mri,rfs,NULL,mri);
if (strcmp(pdfname,"chi2")==0) RFrescale(mri,rfs,NULL,mri);
if (strcmp(pdfname,"t")==0) RFrescale(mri,rfs,NULL,mri);
if (strcmp(pdfname,"tr")==0) RFrescale(mri,rfs,NULL,mri);
if (strcmp(pdfname,"F")==0) RFrescale(mri,rfs,NULL,mri);
if (strcmp(pdfname,"Fr")==0) RFrescale(mri,rfs,NULL,mri);
}
}
if(DoHSC){
// This multiplies each frame by a random number
// between HSCMin HSCMax to simulate heteroscedastisity
printf("Applying HSC %lf %lf\n",HSCMin,HSCMax);
for(f=0; f < mri->nframes; f++){
rval = (HSCMax-HSCMin)*drand48() + HSCMin;
if(debug) printf("%3d %lf\n",f,rval);
for(c=0; c < mri->width; c ++){
for(r=0; r < mri->height; r ++){
for(s=0; s < mri->depth; s ++){
val = MRIgetVoxVal(mri,c,r,s,f);
MRIsetVoxVal(mri,c,r,s,f,rval*val);
}
}
}
}
}
if(AddOffset) {
printf("Adding offset\n");
offset = MRIread(tempid);
if(offset == NULL) exit(1);
if(OffsetFrame == -1) OffsetFrame = nint(offset->nframes/2);
printf("Offset frame %d\n",OffsetFrame);
mritmp = fMRIframe(offset, OffsetFrame, NULL);
if(mritmp == NULL) exit(1);
MRIfree(&offset);
offset = mritmp;
fMRIaddOffset(mri, offset, NULL, mri);
}
if(SpikeTP > 0){
printf("Spiking time point %d\n",SpikeTP);
for(c=0; c < mri->width; c ++){
for(r=0; r < mri->height; r ++){
for(s=0; s < mri->depth; s ++){
MRIsetVoxVal(mri,c,r,s,SpikeTP,1e9);
}
}
}
}
if(DoAbs){
printf("Computing absolute value\n");
MRIabs(mri,mri);
}
if(!NoOutput){
printf("Saving\n");
if(!DoCurv) MRIwriteAnyFormat(mri,volid,volfmt,-1,NULL);
else {
printf("Saving in curv format\n");
MRIScopyMRI(surf, mri, 0, "curv");
MRISwriteCurvature(surf,volid);
}
}
if(sum2file){
val = MRIsum2All(mri);
fp = fopen(sum2file,"w");
if(fp == NULL){
printf("ERROR: opening %s\n",sum2file);
exit(1);
}
printf("sum2all: %20.10lf\n",val);
printf("vrf: %20.10lf\n",1/val);
fprintf(fp,"%20.10lf\n",val);
}
return(0);
}
/*--------------------------------------------------*/
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);
}