bool VolumeFilterErode::Execute()
{
::SetProgressCallback(ProgressCallback, 0, 50);
MRI* mri_src = CreateMRIFromVolume( m_volumeInput );
if ( !mri_src )
{
return false;
}
::SetProgressCallback(ProgressCallback, 50, 60);
MRI* mri_dest = MRIerode( mri_src, NULL );
if ( !mri_dest )
{
return false;
}
::SetProgressCallback(ProgressCallback, 60, 100);
MapMRIToVolume( mri_dest, m_volumeOutput );
MRIfree( &mri_src );
MRIfree( &mri_dest );
return true;
}
int
main(int argc, char *argv[])
{
char **av, *in_fname, *out_fname ;
int ac, nargs, i, label ;
MRI *mri_in, *mri_out, *mri_kernel, *mri_smoothed ;
/* rkt: check for and handle version tag */
nargs = handle_version_option
(argc, argv,
"$Id: mri_extract_label.c,v 1.13 2011/03/02 00:04:15 nicks Exp $",
"$Name: $");
if (nargs && argc - nargs == 1)
exit (0);
argc -= nargs;
Progname = argv[0] ;
ErrorInit(NULL, NULL, NULL) ;
DiagInit(NULL, NULL, NULL) ;
ac = argc ;
av = argv ;
for ( ; argc > 1 && ISOPTION(*argv[1]) ; argc--, argv++)
{
nargs = get_option(argc, argv) ;
argc -= nargs ;
argv += nargs ;
}
if (argc < 4)
usage_exit() ;
in_fname = argv[1] ;
out_fname = argv[argc-1] ;
printf("reading volume from %s...\n", in_fname) ;
mri_in = MRIread(in_fname) ;
if (!mri_in)
ErrorExit(ERROR_NOFILE, "%s: could not read MRI volume %s", Progname,
in_fname) ;
if (out_like_fname)
{
MRI *mri_tmp = MRIread(out_like_fname) ;
if (!mri_tmp)
ErrorExit
(ERROR_NOFILE,
"%s: could not read template volume from %s",
out_like_fname) ;
mri_out = MRIalloc(mri_tmp->width,
mri_tmp->height,
mri_tmp->depth,
mri_tmp->type) ;
/* MRIcopyHeader(mri_tmp, mri_out) ;*/
MRIfree(&mri_tmp) ;
}
else
mri_out = MRIclone(mri_in, NULL) ;
for (i = 2 ; i < argc-1 ; i++)
{
label = atoi(argv[i]) ;
printf("extracting label %d (%s)\n", label, cma_label_to_name(label)) ;
extract_labeled_image(mri_in, transform, label, mri_out) ;
}
if (!FZERO(sigma))
{
printf("smoothing extracted volume...\n") ;
mri_kernel = MRIgaussian1d(sigma, 10*sigma) ;
mri_smoothed = MRIconvolveGaussian(mri_out, NULL, mri_kernel) ;
MRIfree(&mri_out) ;
mri_out = mri_smoothed ;
}
/* removed for gcc3.3
* vsprintf(out_fname, out_fname, (va_list) &label) ;
*/
if (dilate > 0)
{
int i ;
printf("dilating output volume %d times...\n", dilate) ;
for (i = 0 ; i < dilate ; i++)
MRIdilate(mri_out, mri_out) ;
}
if (erode > 0)
{
int i ;
printf("eroding output volume %d times...\n", erode) ;
for (i = 0 ; i < erode ; i++)
MRIerode(mri_out, mri_out) ;
}
printf("writing output to %s.\n", out_fname) ;
MRIwrite(mri_out, out_fname) ;
if (exit_none_found && (nvoxels == 0))
{
printf("No voxels with specified label were found!\n");
exit(1);
}
exit(0) ;
return(0) ; /* for ansi */
}
/*---------------------------------------------------------------*/
int main(int argc, char *argv[]) {
int nargs, n, Ntp, nsearch, nsearch2=0;
double fwhm = 0, nresels, voxelvolume, nvoxperresel, reselvolume;
double car1mn, rar1mn,sar1mn,cfwhm,rfwhm,sfwhm, ftmp;
double car2mn, rar2mn,sar2mn;
double gmean, gstd, gmax;
FILE *fp;
sprintf(tmpstr, "S%sER%sRONT%sOR", "URF", "_F", "DO") ;
setenv(tmpstr,"1",0);
nargs = handle_version_option (argc, argv, vcid, "$Name: $");
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);
if (SynthSeed < 0) SynthSeed = PDFtodSeed();
if (debug) dump_options(stdout);
// ------------- load or synthesize input ---------------------
InVals = MRIreadType(inpath,InValsType);
if(InVals == NULL) exit(1);
if(SetTR){
printf("Setting TR to %g ms\n",TR);
InVals->tr = TR;
}
if((nframes < 0 && synth) || !synth) nframes = InVals->nframes;
if(nframes < nframesmin && !SmoothOnly && !sum2file) {
printf("ERROR: nframes = %d, need at least %d\n",
nframes,nframesmin);
exit(1);
}
if (InVals->type != MRI_FLOAT) {
mritmp = MRISeqchangeType(InVals, MRI_FLOAT, 0, 0, 0);
MRIfree(&InVals);
InVals = mritmp;
}
if(synth) {
printf("Synthesizing %d frames, Seed = %d\n",nframes,SynthSeed);
mritmp = MRIcloneBySpace(InVals,MRI_FLOAT,nframes);
MRIfree(&InVals);
MRIrandn(mritmp->width, mritmp->height, mritmp->depth,
nframes, 0, 1, mritmp);
InVals = mritmp;
}
voxelvolume = InVals->xsize * InVals->ysize * InVals->zsize ;
printf("voxelvolume %g mm3\n",voxelvolume);
if(DoSqr){
printf("Computing square of input\n");
MRIsquare(InVals,NULL,InVals);
}
// -------------------- handle masking ------------------------
if (maskpath) {
printf("Loading mask %s\n",maskpath);
mask = MRIread(maskpath);
if(mask==NULL) exit(1);
if(MRIdimMismatch(mask,InVals,0)){
printf("ERROR: dimension mismatch between mask and input\n");
exit(1);
}
MRIbinarize2(mask, mask, maskthresh, 0, 1);
}
if (automask) {
RFglobalStats(InVals, NULL, &gmean, &gstd, &gmax);
maskthresh = gmean * automaskthresh;
printf("Computing mask, relative threshold = %g, gmean = %g, absthresh = %g\n",
automaskthresh,gmean,maskthresh);
mritmp = MRIframeMean(InVals,NULL);
//MRIwrite(mritmp,"fmean.mgh");
mask = MRIbinarize2(mritmp, NULL, maskthresh, 0, 1);
MRIfree(&mritmp);
}
if (mask) {
if (maskinv) {
printf("Inverting mask\n");
MRImaskInvert(mask,mask);
}
nsearch = MRInMask(mask);
if (nsearch == 0) {
printf("ERROR: no voxels found in mask\n");
exit(1);
}
// Erode the mask -----------------------------------------------
if (nerode > 0) {
printf("Eroding mask %d times\n",nerode);
for (n=0; n<nerode; n++) MRIerode(mask,mask);
nsearch2 = MRInMask(mask);
if (nsearch2 == 0) {
printf("ERROR: no voxels found in mask after eroding\n");
exit(1);
}
printf("%d voxels in mask after eroding\n",nsearch2);
}
//---- Save mask -----
if (outmaskpath) MRIwrite(mask,outmaskpath);
} else nsearch = InVals->width * InVals->height * InVals->depth;
printf("Search region is %d voxels = %lf mm3\n",nsearch,nsearch*voxelvolume);
if( (infwhm > 0 || infwhmc > 0 || infwhmr > 0 || infwhms > 0) && SmoothOnly) {
if(SaveUnmasked) mritmp = NULL;
else mritmp = mask;
if(infwhm > 0) {
printf("Smoothing input by fwhm=%lf, gstd=%lf\n",infwhm,ingstd);
MRImaskedGaussianSmooth(InVals, mritmp, ingstd, InVals);
}
if(infwhmc > 0 || infwhmr > 0 || infwhms > 0) {
printf("Smoothing input by fwhm=(%lf,%lf,%lf) gstd=(%lf,%lf,%lf)\n",
infwhmc,infwhmr,infwhms,ingstdc,ingstdr,ingstds);
MRIgaussianSmoothNI(InVals, ingstdc, ingstdr, ingstds, InVals);
}
printf("Saving to %s\n",outpath);
MRIwrite(InVals,outpath);
printf("SmoothOnly requested, so exiting now\n");
exit(0);
}
// Make a copy, if needed, prior to doing anything to data
if(outpath) InValsCopy = MRIcopy(InVals,NULL);
// Compute variance reduction factor -------------------
if(sum2file){
ftmp = MRIsum2All(InVals);
fp = fopen(sum2file,"w");
if(fp == NULL){
printf("ERROR: opening %s\n",sum2file);
exit(1);
}
printf("sum2all: %20.10lf\n",ftmp);
printf("vrf: %20.10lf\n",1/ftmp);
fprintf(fp,"%20.10lf\n",ftmp);
exit(0);
}
//------------------------ Detrend ------------------
if(DetrendOrder >= 0) {
Ntp = InVals->nframes;
printf("Polynomial detrending, order = %d\n",DetrendOrder);
X = MatrixAlloc(Ntp,DetrendOrder+1,MATRIX_REAL);
for (n=0;n<Ntp;n++) X->rptr[n+1][1] = 1.0;
ftmp = Ntp/2.0;
if (DetrendOrder >= 1)
for (n=0;n<Ntp;n++) X->rptr[n+1][2] = (n-ftmp)/ftmp;
if (DetrendOrder >= 2)
for (n=0;n<Ntp;n++) X->rptr[n+1][3] = pow((n-ftmp),2.0)/(ftmp*ftmp);
}
if(X){
printf("Detrending\n");
if (X->rows != InVals->nframes) {
printf("ERROR: dimension mismatch between X and input\n");
exit(1);
}
mritmp = fMRIdetrend(InVals,X);
if (mritmp == NULL) exit(1);
MRIfree(&InVals);
InVals = mritmp;
}
// ------------ Smooth Input BY infwhm -------------------------
if(infwhm > 0) {
printf("Smoothing input by fwhm=%lf, gstd=%lf\n",infwhm,ingstd);
MRImaskedGaussianSmooth(InVals, mask, ingstd, InVals);
}
// ------------ Smooth Input BY infwhm -------------------------
if(infwhmc > 0 || infwhmr > 0 || infwhms > 0) {
printf("Smoothing input by fwhm=(%lf,%lf,%lf) gstd=(%lf,%lf,%lf)\n",
infwhmc,infwhmr,infwhms,ingstdc,ingstdr,ingstds);
MRIgaussianSmoothNI(InVals, ingstdc, ingstdr, ingstds, InVals);
}
// ------------ Smooth Input TO fwhm -------------------------
if (tofwhm > 0) {
printf("Attempting to smooth to %g +/- %g mm fwhm (nitersmax=%d)\n",
tofwhm,tofwhmtol,tofwhmnitersmax);
mritmp = MRImaskedGaussianSmoothTo(InVals, mask, tofwhm,
tofwhmtol, tofwhmnitersmax,
&byfwhm, &tofwhmact, &tofwhmniters,
InVals);
if (mritmp == NULL) exit(1);
printf("Smoothed by %g to %g in %d iterations\n",
byfwhm,tofwhmact,tofwhmniters);
if (tofwhmfile) {
fp = fopen(tofwhmfile,"w");
if (!fp) {
printf("ERROR: opening %s\n",tofwhmfile);
exit(1);
}
fprintf(fp,"tofwhm %lf\n",tofwhm);
fprintf(fp,"tofwhmtol %lf\n",tofwhmtol);
fprintf(fp,"tofwhmact %lf\n",tofwhmact);
fprintf(fp,"byfwhm %lf\n",byfwhm);
fprintf(fp,"niters %d\n",tofwhmniters);
fprintf(fp,"nitersmax %d\n",tofwhmnitersmax);
fclose(fp);
}
}
// ------ Save smoothed/detrended ------------------------------
if(outpath) {
// This is a bit of a hack in order to be able to save undetrended
// Operates on InValsCopy, which has not been modified (requires
// smoothing twice, which is silly:).
printf("Saving to %s\n",outpath);
// Smoothed output will not be masked
if (SaveDetrended && X) {
mritmp = fMRIdetrend(InValsCopy,X);
if (mritmp == NULL) exit(1);
MRIfree(&InValsCopy);
InValsCopy = mritmp;
}
if (SaveUnmasked) mritmp = NULL;
else mritmp = mask;
if(infwhm > 0)
MRImaskedGaussianSmooth(InValsCopy, mritmp, ingstd, InValsCopy);
if(infwhmc > 0 || infwhmr > 0 || infwhms > 0)
MRIgaussianSmoothNI(InValsCopy, ingstdc, ingstdr, ingstds, InValsCopy);
if(tofwhm > 0) {
bygstd = byfwhm/sqrt(log(256.0));
MRImaskedGaussianSmooth(InValsCopy, mritmp, bygstd, InValsCopy);
}
MRIwrite(InValsCopy,outpath);
MRIfree(&InValsCopy);
}
// ----------- Compute smoothness -----------------------------
printf("Computing spatial AR1 in volume.\n");
ar1 = fMRIspatialAR1(InVals, mask, NULL);
if (ar1 == NULL) exit(1);
fMRIspatialAR1Mean(ar1, mask, &car1mn, &rar1mn, &sar1mn);
cfwhm = RFar1ToFWHM(car1mn, InVals->xsize);
rfwhm = RFar1ToFWHM(rar1mn, InVals->ysize);
sfwhm = RFar1ToFWHM(sar1mn, InVals->zsize);
fwhm = sqrt((cfwhm*cfwhm + rfwhm*rfwhm + sfwhm*sfwhm)/3.0);
printf("ar1mn = (%lf,%lf,%lf)\n",car1mn,rar1mn,sar1mn);
printf("colfwhm = %lf\n",cfwhm);
printf("rowfwhm = %lf\n",rfwhm);
printf("slicefwhm = %lf\n",sfwhm);
printf("outfwhm = %lf\n",fwhm);
reselvolume = cfwhm*rfwhm*sfwhm;
nvoxperresel = reselvolume/voxelvolume;
nresels = voxelvolume*nsearch/reselvolume;
printf("reselvolume %lf\n",reselvolume);
printf("nresels %lf\n",nresels);
printf("nvoxperresel %lf\n",nvoxperresel);
if(DoAR2){
printf("Computing spatial AR2 in volume.\n");
fMRIspatialAR2Mean(InVals, mask, &car2mn, &rar2mn, &sar2mn);
printf("ar2mn = (%lf,%lf,%lf)\n",car2mn,rar2mn,sar2mn);
}
if(ar1path) MRIwrite(ar1,ar1path);
fflush(stdout);
// ---------- Save summary file ---------------------
if(sumfile) {
fp = fopen(sumfile,"w");
if (fp == NULL) {
printf("ERROR: opening %s\n",sumfile);
exit(1);
}
dump_options(fp);
fprintf(fp,"nsearch2 %d\n",nsearch2);
fprintf(fp,"searchspace_vox %d\n",nsearch);
fprintf(fp,"searchspace_mm3 %lf\n",nsearch*voxelvolume);
fprintf(fp,"voxelvolume_mm3 %g\n",voxelvolume);
fprintf(fp,"voxelsize_mm %g %g %g\n",InVals->xsize,InVals->ysize,InVals->zsize);
fprintf(fp,"ar1mn %lf %lf %lf\n",car1mn,rar1mn,sar1mn);
fprintf(fp,"colfwhm_mm %lf\n",cfwhm);
fprintf(fp,"rowfwhm_mm %lf\n",rfwhm);
fprintf(fp,"slicefwhm_mm %lf\n",sfwhm);
fprintf(fp,"outfwhm_mm %lf\n",fwhm);
fprintf(fp,"reselvolume_mm3 %lf\n",reselvolume);
fprintf(fp,"nresels %lf\n",nresels);
fprintf(fp,"nvox_per_resel %lf\n",nvoxperresel);
fclose(fp);
}
if(datfile) {
fp = fopen(datfile,"w");
if(fp == NULL) {
printf("ERROR: opening %s\n",datfile);
exit(1);
}
fprintf(fp,"%lf\n",fwhm);
fclose(fp);
}
printf("mri_fwhm done\n");
return 0;
}
static MRI *
MRIcomputeSurfaceDistanceProbabilities(MRI_SURFACE *mris, MRI *mri_ribbon, MRI *mri, MRI *mri_aseg)
{
MRI *mri_features, *mri_binary, *mri_white_dist, *mri_pial_dist, *mri_mask ;
int nwhite_bins, npial_bins, x, y, z, label, i ;
HISTOGRAM2D *hw, *hp ;
float pdist, wdist, val ;
double wval, pval ;
mri_features = MRIallocSequence(mri->width, mri->height, mri->depth, MRI_FLOAT, 2) ;
MRIcopyHeader(mri, mri_features) ;
mri_binary = MRIcopy(mri_ribbon, NULL) ;
mri_binary = MRIbinarize(mri_ribbon, NULL, 1, 0, 1) ;
mri_pial_dist = MRIdistanceTransform(mri_binary, NULL, 1, max_pial_dist+1, DTRANS_MODE_SIGNED,NULL);
if (Gdiag & DIAG_WRITE && DIAG_VERBOSE_ON)
MRIwrite(mri_pial_dist, "pd.mgz") ;
MRIclear(mri_binary) ;
MRIcopyLabel(mri_ribbon, mri_binary, Left_Cerebral_White_Matter) ;
MRIcopyLabel(mri_ribbon, mri_binary, Right_Cerebral_White_Matter) ;
MRIbinarize(mri_binary, mri_binary, 1, 0, 1) ;
mri_white_dist = MRIdistanceTransform(mri_binary, NULL, 1, max_white_dist+1, DTRANS_MODE_SIGNED,NULL);
if (Gdiag & DIAG_WRITE && DIAG_VERBOSE_ON)
MRIwrite(mri_white_dist, "wd.mgz") ;
nwhite_bins = ceil((max_white_dist - min_white_dist) / white_bin_size)+1 ;
npial_bins = ceil((max_pial_dist - min_pial_dist) / pial_bin_size)+1 ;
hw = HISTO2Dalloc(NBINS, nwhite_bins) ;
hp = HISTO2Dalloc(NBINS, npial_bins) ;
HISTO2Dinit(hw, NBINS, nwhite_bins, 0, NBINS-1, min_white_dist, max_white_dist) ;
HISTO2Dinit(hp, NBINS, npial_bins, 0, NBINS-1, min_pial_dist, max_pial_dist) ;
for (x = 0 ; x < mri->width ; x++)
for (y = 0 ; y < mri->height ; y++)
for (z = 0 ; z < mri->depth ; z++)
{
label = MRIgetVoxVal(mri_aseg, x, y, z, 0) ;
if (IS_CEREBELLUM(label) || IS_VENTRICLE(label) || label == Brain_Stem || IS_CC(label))
continue ;
pdist = MRIgetVoxVal(mri_pial_dist, x, y, z, 0) ;
wdist = MRIgetVoxVal(mri_pial_dist, x, y, z, 0) ;
val = MRIgetVoxVal(mri, x, y, z, 0) ;
if (pdist >= min_pial_dist && pdist <= max_pial_dist)
HISTO2DaddSample(hp, val, pdist, 0, 0, 0, 0) ;
if (wdist >= min_white_dist && wdist <= max_white_dist)
HISTO2DaddSample(hw, val, wdist, 0, 0, 0, 0) ;
}
HISTO2DmakePDF(hp, hp) ;
HISTO2DmakePDF(hw, hw) ;
for (x = 0 ; x < mri->width ; x++)
for (y = 0 ; y < mri->height ; y++)
for (z = 0 ; z < mri->depth ; z++)
{
label = MRIgetVoxVal(mri_aseg, x, y, z, 0) ;
if (IS_CEREBELLUM(label) || IS_VENTRICLE(label) || label == Brain_Stem || IS_CC(label))
continue ;
pdist = MRIgetVoxVal(mri_pial_dist, x, y, z, 0) ;
wdist = MRIgetVoxVal(mri_pial_dist, x, y, z, 0) ;
val = MRIgetVoxVal(mri, x, y, z, 0) ;
wval = HISTO2DgetCount(hw, val, wdist);
if (DZERO(wval) == 0)
MRIsetVoxVal(mri_features, x, y, z, 1, -log10(wval)) ;
pval = HISTO2DgetCount(hp, val, pdist);
if (DZERO(pval) == 0)
MRIsetVoxVal(mri_features, x, y, z, 0, -log10(pval)) ;
}
MRIclear(mri_binary) ;
MRIbinarize(mri_ribbon, mri_binary, 1, 0, 1) ;
mri_mask = MRIcopy(mri_binary, NULL) ;
for (i = 0 ; i < close_order ; i++)
{
MRIdilate(mri_binary, mri_mask) ;
MRIcopy(mri_mask, mri_binary) ;
}
for (i = 0 ; i < close_order ; i++)
{
MRIerode(mri_binary, mri_mask) ;
MRIcopy(mri_mask, mri_binary) ;
}
MRIwrite(mri_mask, "m.mgz") ;
MRImask(mri_features, mri_mask, mri_features, 0, 0) ;
HISTO2Dfree(&hw) ;
HISTO2Dfree(&hp) ;
MRIfree(&mri_white_dist) ; MRIfree(&mri_pial_dist) ; MRIfree(&mri_binary) ;
return(mri_features) ;
}
static MRI *
add_interior_points(MRI *mri_src, MRI *mri_vals, float intensity_above,
float intensity_below, MRI_SURFACE *mris_white1,
MRI_SURFACE *mris_white2,
MRI *mri_aseg, MRI *mri_dst)
{
int x, y, z, ctrl, label, i ;
float val ;
MRI *mri_core ;
MRI *mri_interior, *mri_tmp ;
mri_interior = MRIclone(mri_src, NULL) ;
MRISfillInterior(mris_white1, mri_src->xsize, mri_interior) ;
mri_tmp = MRIclone(mri_src, NULL) ;
MRISfillInterior(mris_white2, mri_src->xsize, mri_tmp) ;
MRIcopyLabel(mri_tmp, mri_interior, 1) ;
if (Gdiag & DIAG_WRITE && DIAG_VERBOSE_ON)
{
MRIwrite(mri_interior, "i.mgz") ;
}
mri_core = MRIerode(mri_interior, NULL) ;
for (i = 1 ; i < nint(1.0/mri_src->xsize) ; i++)
{
MRIcopy(mri_core, mri_tmp) ;
MRIerode(mri_tmp, mri_core) ;
}
MRIfree(&mri_tmp) ;
if (mri_aseg == NULL)
{
for (x = 0 ; x < mri_src->width ; x++)
for (y = 0 ; y < mri_src->height ; y++)
for (z = 0 ; z < mri_src->depth ; z++)
{
if (Gx == x && Gy == y && Gz == z)
{
DiagBreak() ;
}
ctrl = MRIgetVoxVal(mri_core, x, y, z, 0) ;
if (ctrl > 0)
{
MRIsetVoxVal(mri_dst, x, y, z, 0, ctrl) ;
}
}
}
else
{
for (x = 0 ; x < mri_src->width ; x++)
for (y = 0 ; y < mri_src->height ; y++)
for (z = 0 ; z < mri_src->depth ; z++)
{
if (Gx == x && Gy == y && Gz == z)
{
DiagBreak() ;
}
ctrl = MRIgetVoxVal(mri_src, x, y, z, 0) ;
if (ctrl == 0) // add in some missed ones that are inside the surface
{
label = MRIgetVoxVal(mri_aseg, x, y, z, 0) ;
if (IS_GM(label) || IS_WM(label))
{
val = MRIgetVoxVal(mri_vals, x, y, z, 0) ;
if ((val >= 110-intensity_below && val <= 110 + intensity_above)&&
MRIgetVoxVal(mri_core, x, y, z, 0) > 0)
{
ctrl = 1 ;
}
}
}
MRIsetVoxVal(mri_dst, x, y, z, 0, ctrl) ;
}
}
MRIfree(&mri_core) ;
return(mri_dst) ;
}
int
main(int argc, char *argv[])
{
char **av ;
int ac, nargs, n ;
MRI *mri_src, *mri_dst = NULL, *mri_bias, *mri_orig, *mri_aseg = NULL ;
char *in_fname, *out_fname ;
int msec, minutes, seconds ;
struct timeb start ;
char cmdline[CMD_LINE_LEN] ;
make_cmd_version_string
(argc, argv,
"$Id: mri_normalize.c,v 1.80 2012/10/16 21:38:35 nicks Exp $",
"$Name: $",
cmdline);
/* rkt: check for and handle version tag */
nargs = handle_version_option
(argc, argv,
"$Id: mri_normalize.c,v 1.80 2012/10/16 21:38:35 nicks Exp $",
"$Name: $");
if (nargs && argc - nargs == 1)
{
exit (0);
}
argc -= nargs;
Progname = argv[0] ;
ErrorInit(NULL, NULL, NULL) ;
DiagInit(NULL, NULL, NULL) ;
mni.max_gradient = MAX_GRADIENT ;
ac = argc ;
av = argv ;
for ( ; argc > 1 && ISOPTION(*argv[1]) ; argc--, argv++)
{
nargs = get_option(argc, argv) ;
argc -= nargs ;
argv += nargs ;
}
if (argc < 3)
{
usage_exit(0) ;
}
if (argc < 1)
{
ErrorExit(ERROR_BADPARM, "%s: no input name specified", Progname) ;
}
in_fname = argv[1] ;
if (argc < 2)
{
ErrorExit(ERROR_BADPARM, "%s: no output name specified", Progname) ;
}
out_fname = argv[2] ;
if(verbose)
{
printf( "reading from %s...\n", in_fname) ;
}
mri_src = MRIread(in_fname) ;
if (!mri_src)
ErrorExit(ERROR_NO_FILE, "%s: could not open source file %s",
Progname, in_fname) ;
MRIaddCommandLine(mri_src, cmdline) ;
if(nsurfs > 0)
{
MRI_SURFACE *mris ;
MRI *mri_dist=NULL, *mri_dist_sup=NULL, *mri_ctrl, *mri_dist_one ;
LTA *lta= NULL ;
int i ;
TRANSFORM *surface_xform ;
if (control_point_fname) // do one pass with only file control points first
{
MRI3dUseFileControlPoints(mri_src, control_point_fname) ;
mri_dst =
MRI3dGentleNormalize(mri_src,
NULL,
DEFAULT_DESIRED_WHITE_MATTER_VALUE,
NULL,
intensity_above,
intensity_below/2,1,
bias_sigma, mri_not_control);
}
else
{
mri_dst = MRIcopy(mri_src, NULL) ;
}
for (i = 0 ; i < nsurfs ; i++)
{
mris = MRISread(surface_fnames[i]) ;
if (mris == NULL)
ErrorExit(ERROR_NOFILE,"%s: could not surface %s",
Progname,surface_fnames[i]);
surface_xform = surface_xforms[i] ;
TransformInvert(surface_xform, NULL) ;
if (surface_xform->type == MNI_TRANSFORM_TYPE ||
surface_xform->type == TRANSFORM_ARRAY_TYPE ||
surface_xform->type == REGISTER_DAT)
{
lta = (LTA *)(surface_xform->xform) ;
#if 0
if (invert)
{
VOL_GEOM vgtmp;
LT *lt;
MATRIX *m_tmp = lta->xforms[0].m_L ;
lta->xforms[0].m_L = MatrixInverse(lta->xforms[0].m_L, NULL) ;
MatrixFree(&m_tmp) ;
lt = <a->xforms[0];
if (lt->dst.valid == 0 || lt->src.valid == 0)
{
printf( "WARNING:***************************************************************\n");
printf( "WARNING:dst volume infor is invalid. Most likely produce wrong inverse.\n");
printf( "WARNING:***************************************************************\n");
}
copyVolGeom(<->dst, &vgtmp);
copyVolGeom(<->src, <->dst);
copyVolGeom(&vgtmp, <->src);
}
#endif
}
if (stricmp(surface_xform_fnames[i], "identity.nofile") != 0)
{
MRIStransform(mris, NULL, surface_xform, NULL) ;
}
mri_dist_one = MRIcloneDifferentType(mri_dst, MRI_FLOAT) ;
printf("computing distance transform\n") ;
MRIScomputeDistanceToSurface(mris, mri_dist_one, mri_dist_one->xsize) ;
if (i == 0)
{
mri_dist = MRIcopy(mri_dist_one, NULL) ;
}
else
{
MRIcombineDistanceTransforms(mri_dist_one, mri_dist, mri_dist) ;
}
// MRIminAbs(mri_dist_one, mri_dist, mri_dist) ;
MRIfree(&mri_dist_one) ;
}
MRIscalarMul(mri_dist, mri_dist, -1) ;
if (nonmax_suppress)
{
printf("computing nonmaximum suppression\n") ;
mri_dist_sup = MRInonMaxSuppress(mri_dist, NULL, 0, 1) ;
mri_ctrl = MRIcloneDifferentType(mri_dist_sup, MRI_UCHAR) ;
MRIbinarize(mri_dist_sup, mri_ctrl, min_dist, CONTROL_NONE, CONTROL_MARKED) ;
}
else if (erode)
{
int i ;
mri_ctrl = MRIcloneDifferentType(mri_dist, MRI_UCHAR) ;
MRIbinarize(mri_dist, mri_ctrl, min_dist, CONTROL_NONE, CONTROL_MARKED) ;
for (i = 0 ; i < erode ; i++)
{
MRIerode(mri_ctrl, mri_ctrl) ;
}
}
else
{
mri_ctrl = MRIcloneDifferentType(mri_dist, MRI_UCHAR) ;
MRIbinarize(mri_dist, mri_ctrl, min_dist, CONTROL_NONE, CONTROL_MARKED) ;
}
if (control_point_fname)
{
MRInormAddFileControlPoints(mri_ctrl, CONTROL_MARKED) ;
}
if (mask_sigma > 0)
{
MRI *mri_smooth, *mri_mag, *mri_grad ;
mri_smooth = MRIgaussianSmooth(mri_dst, mask_sigma, 1, NULL) ;
mri_mag = MRIcloneDifferentType(mri_dst, MRI_FLOAT) ;
mri_grad = MRIsobel(mri_smooth, NULL, mri_mag) ;
MRIbinarize(mri_mag, mri_mag, mask_thresh, 1, 0) ;
MRImask(mri_ctrl, mri_mag, mri_ctrl, 0, CONTROL_NONE) ;
MRIfree(&mri_grad) ;
MRIfree(&mri_mag) ;
MRIfree(&mri_smooth) ;
}
if (mask_orig_fname)
{
MRI *mri_orig ;
mri_orig = MRIread(mask_orig_fname) ;
MRIbinarize(mri_orig, mri_orig, mask_orig_thresh, 0, 1) ;
MRImask(mri_ctrl, mri_orig, mri_ctrl, 0, CONTROL_NONE) ;
MRIfree(&mri_orig) ;
}
if (Gdiag & DIAG_WRITE && DIAG_VERBOSE_ON)
{
MRIwrite(mri_dist, "d.mgz");
MRIwrite(mri_dist_sup, "dm.mgz");
MRIwrite(mri_ctrl, "c.mgz");
}
MRIeraseBorderPlanes(mri_ctrl, 4) ;
if (aseg_fname)
{
mri_aseg = MRIread(aseg_fname) ;
if (mri_aseg == NULL)
{
ErrorExit(ERROR_NOFILE,
"%s: could not load aseg from %s", Progname, aseg_fname) ;
}
remove_nonwm_voxels(mri_ctrl, mri_aseg, mri_ctrl) ;
MRIfree(&mri_aseg) ;
}
else
{
remove_surface_outliers(mri_ctrl, mri_dist, mri_dst, mri_ctrl) ;
}
mri_bias = MRIbuildBiasImage(mri_dst, mri_ctrl, NULL, 0.0) ;
if (mri_dist)
{
MRIfree(&mri_dist) ;
}
if (mri_dist_sup)
{
MRIfree(&mri_dist_sup) ;
}
if (bias_sigma> 0)
{
MRI *mri_kernel = MRIgaussian1d(bias_sigma, -1) ;
if (Gdiag & DIAG_WRITE && DIAG_VERBOSE_ON)
{
MRIwrite(mri_bias, "b.mgz") ;
}
printf("smoothing bias field\n") ;
MRIconvolveGaussian(mri_bias, mri_bias, mri_kernel) ;
if (Gdiag & DIAG_WRITE && DIAG_VERBOSE_ON)
{
MRIwrite(mri_bias, "bs.mgz") ;
}
MRIfree(&mri_kernel);
}
MRIfree(&mri_ctrl) ;
mri_dst = MRIapplyBiasCorrectionSameGeometry
(mri_dst, mri_bias, mri_dst,
DEFAULT_DESIRED_WHITE_MATTER_VALUE) ;
printf("writing normalized volume to %s\n", out_fname) ;
MRIwrite(mri_dst, out_fname) ;
exit(0) ;
} // end if(surface_fname)
if (!mriConformed(mri_src) && conform > 0)
{
printf("unconformed source detected - conforming...\n") ;
mri_src = MRIconform(mri_src) ;
}
if (mask_fname)
{
MRI *mri_mask ;
mri_mask = MRIread(mask_fname) ;
if (!mri_mask)
ErrorExit(ERROR_NOFILE, "%s: could not open mask volume %s.\n",
Progname, mask_fname) ;
MRImask(mri_src, mri_mask, mri_src, 0, 0) ;
MRIfree(&mri_mask) ;
}
if (read_flag)
{
MRI *mri_ctrl ;
double scale ;
mri_bias = MRIread(bias_volume_fname) ;
if (!mri_bias)
ErrorExit
(ERROR_BADPARM,
"%s: could not read bias volume %s", Progname, bias_volume_fname) ;
mri_ctrl = MRIread(control_volume_fname) ;
if (!mri_ctrl)
ErrorExit
(ERROR_BADPARM,
"%s: could not read control volume %s",
Progname, control_volume_fname) ;
MRIbinarize(mri_ctrl, mri_ctrl, 1, 0, 128) ;
mri_dst = MRImultiply(mri_bias, mri_src, NULL) ;
scale = MRImeanInLabel(mri_dst, mri_ctrl, 128) ;
printf("mean in wm is %2.0f, scaling by %2.2f\n", scale, 110/scale) ;
scale = 110/scale ;
MRIscalarMul(mri_dst, mri_dst, scale) ;
MRIwrite(mri_dst, out_fname) ;
exit(0) ;
}
if(long_flag)
{
MRI *mri_ctrl ;
double scale ;
mri_bias = MRIread(long_bias_volume_fname) ;
if (!mri_bias)
ErrorExit
(ERROR_BADPARM,
"%s: could not read bias volume %s", Progname, long_bias_volume_fname) ;
mri_ctrl = MRIread(long_control_volume_fname) ;
if (!mri_ctrl)
ErrorExit
(ERROR_BADPARM,
"%s: could not read control volume %s",
Progname, long_control_volume_fname) ;
MRIbinarize(mri_ctrl, mri_ctrl, 1, 0, CONTROL_MARKED) ;
if (mri_ctrl->type != MRI_UCHAR)
{
MRI *mri_tmp ;
mri_tmp = MRIchangeType(mri_ctrl, MRI_UCHAR, 0, 1,1);
MRIfree(&mri_ctrl) ;
mri_ctrl = mri_tmp ;
}
scale = MRImeanInLabel(mri_src, mri_ctrl, CONTROL_MARKED) ;
printf("mean in wm is %2.0f, scaling by %2.2f\n", scale, 110/scale) ;
scale = DEFAULT_DESIRED_WHITE_MATTER_VALUE/scale ;
mri_dst = MRIscalarMul(mri_src, NULL, scale) ;
MRIremoveWMOutliers(mri_dst, mri_ctrl, mri_ctrl, intensity_below/2) ;
mri_bias = MRIbuildBiasImage(mri_dst, mri_ctrl, NULL, 0.0) ;
MRIsoapBubble(mri_bias, mri_ctrl, mri_bias, 50, 1) ;
MRIapplyBiasCorrectionSameGeometry(mri_dst, mri_bias, mri_dst,
DEFAULT_DESIRED_WHITE_MATTER_VALUE);
// MRIwrite(mri_dst, out_fname) ;
// exit(0) ;
} // end if(long_flag)
if (grad_thresh > 0)
{
float thresh ;
MRI *mri_mag, *mri_grad, *mri_smooth ;
MRI *mri_kernel = MRIgaussian1d(.5, -1) ;
mri_not_control = MRIcloneDifferentType(mri_src, MRI_UCHAR) ;
switch (scan_type)
{
case MRI_MGH_MPRAGE:
thresh = 15 ;
break ;
case MRI_WASHU_MPRAGE:
thresh = 20 ;
break ;
case MRI_UNKNOWN:
default:
thresh = 12 ;
break ;
}
mri_smooth = MRIconvolveGaussian(mri_src, NULL, mri_kernel) ;
thresh = grad_thresh ;
mri_mag = MRIcloneDifferentType(mri_src, MRI_FLOAT) ;
mri_grad = MRIsobel(mri_smooth, NULL, mri_mag) ;
MRIwrite(mri_mag, "m.mgz") ;
MRIbinarize(mri_mag, mri_not_control, thresh, 0, 1) ;
MRIwrite(mri_not_control, "nc.mgz") ;
MRIfree(&mri_mag) ;
MRIfree(&mri_grad) ;
MRIfree(&mri_smooth) ;
MRIfree(&mri_kernel) ;
}
#if 0
#if 0
if ((mri_src->type != MRI_UCHAR) ||
(!(mri_src->xsize == 1 && mri_src->ysize == 1 && mri_src->zsize == 1)))
#else
if (conform || (mri_src->type != MRI_UCHAR && conform > 0))
#endif
{
MRI *mri_tmp ;
fprintf
(stderr,
"downsampling to 8 bits and scaling to isotropic voxels...\n") ;
mri_tmp = MRIconform(mri_src) ;
mri_src = mri_tmp ;
}
#endif
if(aseg_fname)
{
printf("Reading aseg %s\n",aseg_fname);
mri_aseg = MRIread(aseg_fname) ;
if (mri_aseg == NULL)
ErrorExit
(ERROR_NOFILE,
"%s: could not read aseg from file %s", Progname, aseg_fname) ;
if (!mriConformed(mri_aseg))
{
ErrorExit(ERROR_UNSUPPORTED, "%s: aseg volume %s must be conformed",
Progname, aseg_fname) ;
}
}
else
{
mri_aseg = NULL ;
}
if(verbose)
{
printf( "normalizing image...\n") ;
}
fflush(stdout);
fflush(stderr);
TimerStart(&start) ;
if (control_point_fname)
{
MRI3dUseFileControlPoints(mri_src, control_point_fname) ;
}
// this just setup writing control-point volume saving
if(control_volume_fname)
{
MRI3dWriteControlPoints(control_volume_fname) ;
}
/* first do a gentle normalization to get
things in the right intensity range */
if(long_flag == 0) // if long, then this will already have been done with base control points
{
if(control_point_fname != NULL) /* do one pass with only
file control points first */
mri_dst =
MRI3dGentleNormalize(mri_src,
NULL,
DEFAULT_DESIRED_WHITE_MATTER_VALUE,
NULL,
intensity_above,
intensity_below/2,1,
bias_sigma, mri_not_control);
else
{
mri_dst = MRIcopy(mri_src, NULL) ;
}
}
fflush(stdout);
fflush(stderr);
if(mri_aseg)
{
MRI *mri_ctrl, *mri_bias ;
int i ;
printf("processing with aseg\n");
mri_ctrl = MRIclone(mri_aseg, NULL) ;
for (i = 0 ; i < NWM_LABELS ; i++)
{
MRIcopyLabel(mri_aseg, mri_ctrl, aseg_wm_labels[i]) ;
}
printf("removing outliers in the aseg WM...\n") ;
MRIremoveWMOutliersAndRetainMedialSurface(mri_dst,
mri_ctrl,
mri_ctrl,
intensity_below) ;
MRIbinarize(mri_ctrl, mri_ctrl, 1, CONTROL_NONE, CONTROL_MARKED) ;
MRInormAddFileControlPoints(mri_ctrl, CONTROL_MARKED) ;
if (interior_fname1)
{
MRIS *mris_interior1, *mris_interior2 ;
mris_interior1 = MRISread(interior_fname1) ;
if (mris_interior1 == NULL)
ErrorExit(ERROR_NOFILE,
"%s: could not read white matter surface from %s\n",
Progname, interior_fname1) ;
mris_interior2 = MRISread(interior_fname2) ;
if (mris_interior2 == NULL)
ErrorExit(ERROR_NOFILE,
"%s: could not read white matter surface from %s\n",
Progname, interior_fname2) ;
add_interior_points(mri_ctrl,
mri_dst,
intensity_above,
1.25*intensity_below,
mris_interior1,
mris_interior2,
mri_aseg,
mri_ctrl) ;
MRISfree(&mris_interior1) ;
MRISfree(&mris_interior2) ;
}
if (Gdiag & DIAG_WRITE && DIAG_VERBOSE_ON)
{
MRIwrite(mri_ctrl, "norm_ctrl.mgz") ;
}
printf("Building bias image\n");
fflush(stdout);
fflush(stderr);
mri_bias = MRIbuildBiasImage(mri_dst, mri_ctrl, NULL, 0.0) ;
fflush(stdout);
fflush(stderr);
if (bias_sigma> 0)
{
printf("Smoothing with sigma %g\n",bias_sigma);
MRI *mri_kernel = MRIgaussian1d(bias_sigma, -1) ;
MRIconvolveGaussian(mri_bias, mri_bias, mri_kernel) ;
MRIfree(&mri_kernel);
fflush(stdout);
fflush(stderr);
}
MRIfree(&mri_ctrl) ;
MRIfree(&mri_aseg) ;
printf("Applying bias correction\n");
mri_dst = MRIapplyBiasCorrectionSameGeometry
(mri_dst, mri_bias, mri_dst,
DEFAULT_DESIRED_WHITE_MATTER_VALUE) ;
if (Gdiag & DIAG_WRITE && DIAG_VERBOSE_ON)
{
MRIwrite(mri_dst, "norm_1.mgz") ;
}
fflush(stdout);
fflush(stderr);
} // if(mri_aseg)
else
{
printf("processing without aseg, no1d=%d\n",no1d);
if (!no1d)
{
printf("MRInormInit(): \n");
MRInormInit(mri_src, &mni, 0, 0, 0, 0, 0.0f) ;
printf("MRInormalize(): \n");
mri_dst = MRInormalize(mri_src, NULL, &mni) ;
if (!mri_dst)
{
no1d = 1 ;
printf("1d normalization failed - trying no1d...\n") ;
// ErrorExit(ERROR_BADPARM, "%s: normalization failed", Progname) ;
}
}
if(no1d)
{
if ((file_only && nosnr) ||
((gentle_flag != 0) && (control_point_fname != NULL)))
{
if (mri_dst == NULL)
{
mri_dst = MRIcopy(mri_src, NULL) ;
}
}
else
{
if (nosnr)
{
if (interior_fname1)
{
MRIS *mris_interior1, *mris_interior2 ;
MRI *mri_ctrl ;
printf("computing initial normalization using surface interiors\n");
mri_ctrl = MRIcloneDifferentType(mri_src, MRI_UCHAR) ;
mris_interior1 = MRISread(interior_fname1) ;
if (mris_interior1 == NULL)
ErrorExit(ERROR_NOFILE,
"%s: could not read white matter surface from %s\n",
Progname, interior_fname1) ;
mris_interior2 = MRISread(interior_fname2) ;
if (mris_interior2 == NULL)
ErrorExit(ERROR_NOFILE,
"%s: could not read white matter surface from %s\n",
Progname, interior_fname2) ;
add_interior_points(mri_ctrl,
mri_dst,
intensity_above,
1.25*intensity_below,
mris_interior1,
mris_interior2,
mri_aseg,
mri_ctrl) ;
MRISfree(&mris_interior1) ;
MRISfree(&mris_interior2) ;
mri_bias = MRIbuildBiasImage(mri_dst, mri_ctrl, NULL, 0.0) ;
if (bias_sigma> 0)
{
MRI *mri_kernel = MRIgaussian1d(bias_sigma, -1) ;
MRIconvolveGaussian(mri_bias, mri_bias, mri_kernel) ;
MRIfree(&mri_kernel);
}
mri_dst = MRIapplyBiasCorrectionSameGeometry
(mri_src,
mri_bias,
mri_dst,
DEFAULT_DESIRED_WHITE_MATTER_VALUE) ;
MRIfree(&mri_ctrl) ;
}
else if (long_flag == 0) // no initial normalization specified
{
mri_dst = MRIcopy(mri_src, NULL) ;
}
}
else
{
printf("computing initial normalization using SNR...\n") ;
mri_dst = MRInormalizeHighSignalLowStd
(mri_src, mri_dst, bias_sigma,
DEFAULT_DESIRED_WHITE_MATTER_VALUE) ;
}
}
if (!mri_dst)
ErrorExit
(ERROR_BADPARM, "%s: could not allocate volume", Progname) ;
}
} // else (not using aseg)
fflush(stdout);
fflush(stderr);
if (file_only == 0)
MRI3dGentleNormalize(mri_dst, NULL, DEFAULT_DESIRED_WHITE_MATTER_VALUE,
mri_dst,
intensity_above, intensity_below/2,
file_only, bias_sigma, mri_not_control);
mri_orig = MRIcopy(mri_dst, NULL) ;
printf("\n");
printf("Iterating %d times\n",num_3d_iter);
for (n = 0 ; n < num_3d_iter ; n++)
{
if(file_only)
{
break ;
}
printf( "---------------------------------\n");
printf( "3d normalization pass %d of %d\n", n+1, num_3d_iter) ;
if (gentle_flag)
MRI3dGentleNormalize(mri_dst, NULL, DEFAULT_DESIRED_WHITE_MATTER_VALUE,
mri_dst,
intensity_above/2, intensity_below/2,
file_only, bias_sigma, mri_not_control);
else
MRI3dNormalize(mri_orig, mri_dst, DEFAULT_DESIRED_WHITE_MATTER_VALUE,
mri_dst,
intensity_above, intensity_below,
file_only, prune, bias_sigma, scan_type, mri_not_control);
}
printf( "Done iterating ---------------------------------\n");
// this just setup writing control-point volume saving
if(control_volume_fname)
{
MRI3dWriteControlPoints(control_volume_fname) ;
}
if(bias_volume_fname)
{
mri_bias = compute_bias(mri_src, mri_dst, NULL) ;
printf("writing bias field to %s....\n", bias_volume_fname) ;
MRIwrite(mri_bias, bias_volume_fname) ;
MRIfree(&mri_bias) ;
}
if (verbose)
{
printf("writing output to %s\n", out_fname) ;
}
MRIwrite(mri_dst, out_fname) ;
msec = TimerStop(&start) ;
MRIfree(&mri_src);
MRIfree(&mri_dst);
seconds = nint((float)msec/1000.0f) ;
minutes = seconds / 60 ;
seconds = seconds % 60 ;
printf( "3D bias adjustment took %d minutes and %d seconds.\n",
minutes, seconds) ;
exit(0) ;
return(0) ;
}
static MRI *
MRIremoveWMOutliersAndRetainMedialSurface(MRI *mri_src,
MRI *mri_src_ctrl,
MRI *mri_dst_ctrl,
int intensity_below)
{
MRI *mri_inside, *mri_bin ;
HISTOGRAM *histo, *hsmooth ;
int wm_peak, x, y, z, nremoved ;
float thresh, hi_thresh ;
double val, lmean, max ;
if (Gdiag & DIAG_WRITE && DIAG_VERBOSE_ON)
{
MRIwrite(mri_src_ctrl, "sc.mgz") ;
}
if (mri_dst_ctrl != mri_src_ctrl)
{
mri_dst_ctrl = MRIcopy(mri_src_ctrl, mri_dst_ctrl) ;
}
mri_inside = MRIerode(mri_dst_ctrl, NULL) ;
MRIbinarize(mri_inside, mri_inside, 1, 0, 1) ;
histo = MRIhistogramLabel(mri_src, mri_inside, 1, 256) ;
hsmooth = HISTOcopy(histo, NULL) ;
HISTOsmooth(histo, hsmooth, 2) ;
if (Gdiag & DIAG_WRITE && DIAG_VERBOSE_ON)
{
HISTOplot(histo, "h.plt") ;
HISTOplot(hsmooth, "hs.plt") ;
}
printf("using wm (%d) threshold %2.1f for removing exterior voxels\n",
wm_peak, thresh) ;
wm_peak = HISTOfindHighestPeakInRegion(hsmooth, 1, hsmooth->nbins-1) ;
wm_peak = hsmooth->bins[wm_peak] ;
thresh = wm_peak-intensity_below ;
hi_thresh = wm_peak-.5*intensity_below ;
printf("using wm (%d) threshold %2.1f for removing exterior voxels\n",
wm_peak, thresh) ;
// now remove stuff that's on the border and is pretty dark
for (nremoved = x = 0 ; x < mri_src->width ; x++)
{
for (y = 0 ; y < mri_src->height ; y++)
{
for (z = 0 ; z < mri_src->depth ; z++)
{
if (x == Gx && y == Gy && z == Gz)
{
DiagBreak() ;
}
/* if it's a control point,
it's not in the interior of the wm,
and it's T1 val is too low */
if (MRIgetVoxVal(mri_dst_ctrl, x, y, z, 0) == 0)
{
continue ; // not a control point
}
/* if it's way far from the wm mode
then remove it even if it's in the interior */
val = MRIgetVoxVal(mri_src, x, y, z, 0) ;
if (val < thresh-5)
{
MRIsetVoxVal(mri_dst_ctrl, x, y, z, 0, 0) ;
nremoved++ ;
}
if (nint(MRIgetVoxVal(mri_inside, x, y, z, 0)) > 0)
// don't process interior voxels further
{
continue ; // in the interior
}
if (val < thresh)
{
MRIsetVoxVal(mri_dst_ctrl, x, y, z, 0, 0) ;
nremoved++ ;
}
else
{
lmean =
MRImeanInLabelInRegion(mri_src, mri_inside, 1, x, y, z, 7);
if (val < lmean-10)
{
MRIsetVoxVal(mri_dst_ctrl, x, y, z, 0, 0) ;
nremoved++ ;
}
}
}
}
}
#if 0
for (x = 0 ; x < mri_src->width ; x++)
{
for (y = 0 ; y < mri_src->height ; y++)
{
for (z = 0 ; z < mri_src->depth ; z++)
{
if (x == Gx && y == Gy && z == Gz)
{
DiagBreak() ;
}
/* if it's a control point,
it's not in the interior of the wm,
and it's T1 val is too low */
if (MRIgetVoxVal(mri_dst_ctrl, x, y, z, 0) == 0)
{
continue ; // not a control point
}
if (MRIcountNonzeroInNbhd(mri_dst_ctrl,3, x, y, z)<=2)
{
MRIsetVoxVal(mri_dst_ctrl, x, y, z, 0, 0) ;
nremoved++ ;
}
}
}
}
#endif
/* now take out voxels that have too big an intensity diff
with surrounding ones */
mri_bin = MRIbinarize(mri_dst_ctrl, NULL, 1, 0, 1) ;
for (x = 0 ; x < mri_src->width ; x++)
{
for (y = 0 ; y < mri_src->height ; y++)
{
for (z = 0 ; z < mri_src->depth ; z++)
{
if (x == Gx && y == Gy && z == Gz)
{
DiagBreak() ;
}
/* if it's a control point,
it's not in the interior of the wm,
and it's T1 val is too low */
if (MRIgetVoxVal(mri_dst_ctrl, x, y, z, 0) == 0)
{
continue ; // not a control point
}
val = MRIgetVoxVal(mri_src, x, y, z, 0) ;
max = MRImaxInLabelInRegion(mri_src, mri_bin, 1, x, y, z, 3);
if (val+7 < max && val < hi_thresh)
{
MRIsetVoxVal(mri_dst_ctrl, x, y, z, 0, 0) ;
nremoved++ ;
}
}
}
}
MRIfree(&mri_bin) ;
printf( "%d control points removed\n", nremoved) ;
if (Gdiag & DIAG_WRITE && DIAG_VERBOSE_ON)
{
MRIwrite(mri_dst_ctrl, "dc.mgz") ;
}
HISTOfree(&histo) ;
HISTOfree(&hsmooth) ;
MRIfree(&mri_inside) ;
return(mri_dst_ctrl) ;
}
int
main(int argc, char *argv[]) {
char **av, *label_name, *vol_name, *out_name ;
int ac, nargs ;
int msec, minutes, seconds, i ;
LABEL *area ;
struct timeb start ;
MRI *mri, *mri_seg ;
Real xw, yw, zw, xv, yv, zv, val;
/* rkt: check for and handle version tag */
nargs = handle_version_option (argc, argv, "$Id: mri_label_vals.c,v 1.16 2015/08/24 18:22:05 fischl Exp $", "$Name: $");
if (nargs && argc - nargs == 1)
exit (0);
argc -= nargs;
Progname = argv[0] ;
ErrorInit(NULL, NULL, NULL) ;
DiagInit(NULL, NULL, NULL) ;
TimerStart(&start) ;
ac = argc ;
av = argv ;
for ( ; argc > 1 && ISOPTION(*argv[1]) ; argc--, argv++) {
nargs = get_option(argc, argv) ;
argc -= nargs ;
argv += nargs ;
}
if (argc < 3)
usage_exit(1) ;
vol_name = argv[1] ;
label_name = argv[2] ;
out_name = argv[3] ;
mri = MRIread(vol_name) ;
if (!mri)
ErrorExit(ERROR_NOFILE, "%s: could not read volume from %s",Progname, vol_name) ;
if (scaleup_flag) {
float scale, fov_x, fov_y, fov_z ;
scale = 1.0/MIN(MIN(mri->xsize, mri->ysize),mri->zsize) ;
fprintf(stderr, "scaling voxel sizes up by %2.2f\n", scale) ;
mri->xsize *= scale ;
mri->ysize *= scale ;
mri->zsize *= scale ;
fov_x = mri->xsize * mri->width;
fov_y = mri->ysize * mri->height;
fov_z = mri->zsize * mri->depth;
mri->xend = fov_x / 2.0;
mri->xstart = -mri->xend;
mri->yend = fov_y / 2.0;
mri->ystart = -mri->yend;
mri->zend = fov_z / 2.0;
mri->zstart = -mri->zend;
mri->fov = (fov_x > fov_y ? (fov_x > fov_z ? fov_x : fov_z) : (fov_y > fov_z ? fov_y : fov_z) );
}
if (segmentation_flag >= 0) {
int x, y, z ;
VECTOR *v_seg, *v_mri ;
MATRIX *m_seg_to_mri ;
v_seg = VectorAlloc(4, MATRIX_REAL) ;
v_mri = VectorAlloc(4, MATRIX_REAL) ;
VECTOR_ELT(v_seg, 4) = 1.0 ;
VECTOR_ELT(v_mri, 4) = 1.0 ;
mri_seg = MRIread(argv[2]) ;
if (!mri_seg)
ErrorExit(ERROR_NOFILE, "%s: could not read volume from %s",Progname, argv[2]) ;
if (erode) {
MRI *mri_tmp ;
mri_tmp = MRIclone(mri_seg, NULL) ;
MRIcopyLabel(mri_seg, mri_tmp, segmentation_flag) ;
while (erode-- > 0)
MRIerode(mri_tmp, mri_tmp) ;
MRIcopy(mri_tmp, mri_seg) ;
MRIfree(&mri_tmp) ;
}
m_seg_to_mri = MRIgetVoxelToVoxelXform(mri_seg, mri) ;
for (x = 0 ; x < mri_seg->width ; x++) {
V3_X(v_seg) = x ;
for (y = 0 ; y < mri_seg->height ; y++) {
V3_Y(v_seg) = y ;
for (z = 0 ; z < mri_seg->depth ; z++) {
V3_Z(v_seg) = z ;
if (MRIvox(mri_seg, x, y, z) == segmentation_flag) {
MatrixMultiply(m_seg_to_mri, v_seg, v_mri) ;
xv = V3_X(v_mri) ;
yv = V3_Y(v_mri) ;
zv = V3_Z(v_mri) ;
MRIsampleVolumeType(mri, xv, yv, zv, &val, SAMPLE_NEAREST);
#if 0
if (val < .000001) {
val *= 1000000;
printf("%f*0.000001\n", val);
} else
#endif
if (coords)
printf("%2.1f %2.1f %2.1f %f\n", xv, yv, zv, val);
else
printf("%f\n", val);
}
}
}
}
MatrixFree(&m_seg_to_mri) ;
VectorFree(&v_seg) ;
VectorFree(&v_mri) ;
} else {
if (cras == 1)
fprintf(stderr,"using the label coordinates to be c_(r,a,s) != 0.\n");
if (surface_dir) {
MRI_SURFACE *mris ;
char fname[STRLEN] ;
sprintf(fname, "%s/%s.white", surface_dir, hemi) ;
mris = MRISread(fname) ;
if (mris == NULL)
ErrorExit(ERROR_NOFILE, "%s: could not read surface file %s...\n", Progname,fname) ;
sprintf(fname, "%s/%s.thickness", surface_dir, hemi) ;
if (MRISreadCurvatureFile(mris, fname) != NO_ERROR)
ErrorExit(ERROR_BADPARM, "%s: could not read thickness file %s...\n", Progname,fname) ;
if (annot_prefix) /* read an annotation in and print vals in it */
{
#define MAX_ANNOT 10000
int vno, annot_counts[MAX_ANNOT], index ;
VERTEX *v ;
Real xw, yw, zw, xv, yv, zv, val ;
float annot_means[MAX_ANNOT] ;
FILE *fp ;
memset(annot_means, 0, sizeof(annot_means)) ;
memset(annot_counts, 0, sizeof(annot_counts)) ;
if (MRISreadAnnotation(mris, label_name) != NO_ERROR)
ErrorExit(ERROR_BADPARM, "%s: could not read annotation file %s...\n", Progname,fname) ;
if (mris->ct == NULL)
ErrorExit(ERROR_BADPARM, "%s: annot file does not contain a color table, specifiy one with -t ", Progname);
for (vno = 0 ; vno < mris->nvertices ; vno++) {
v = &mris->vertices[vno] ;
if (v->ripflag)
continue ;
CTABfindAnnotation(mris->ct, v->annotation, &index) ;
if (index >= 0 && index < mris->ct->nentries) {
annot_counts[index]++ ;
xw = v->x + v->curv*.5*v->nx ;
yw = v->y + v->curv*.5*v->ny ;
zw = v->z + v->curv*.5*v->nz ;
if (cras == 1)
MRIworldToVoxel(mri, xw, yw, zw, &xv, &yv, &zv) ;
else
MRIsurfaceRASToVoxel(mri, xw, yw, zw, &xv, &yv, &zv);
MRIsampleVolume(mri, xv, yv, zv, &val) ;
annot_means[index] += val ;
sprintf(fname, "%s-%s-%s.dat", annot_prefix, hemi, mris->ct->entries[index]->name) ;
fp = fopen(fname, "a") ;
fprintf(fp, "%f\n", val) ;
fclose(fp) ;
}
}
}
else /* read label in and print vals in it */
{
area = LabelRead(NULL, label_name) ;
if (!area)
ErrorExit(ERROR_NOFILE, "%s: could not read label from %s",Progname, label_name) ;
}
} else {
area = LabelRead(NULL, label_name) ;
if (!area)
ErrorExit(ERROR_NOFILE, "%s: could not read label from %s",Progname, label_name) ;
for (i = 0 ; i < area->n_points ; i++) {
xw = area->lv[i].x ;
yw = area->lv[i].y ;
zw = area->lv[i].z ;
if (cras == 1)
MRIworldToVoxel(mri, xw, yw, zw, &xv, &yv, &zv) ;
else
MRIsurfaceRASToVoxel(mri, xw, yw, zw, &xv, &yv, &zv);
MRIsampleVolumeType(mri, xv, yv, zv, &val, SAMPLE_NEAREST);
#if 0
if (val < .000001) {
val *= 1000000;
printf("%f*0.000001\n", val);
} else
#endif
printf("%f\n", val);
}
}
}
msec = TimerStop(&start) ;
seconds = nint((float)msec/1000.0f) ;
minutes = seconds / 60 ;
seconds = seconds % 60 ;
if (DIAG_VERBOSE_ON)
fprintf(stderr, "label value extractiong took %d minutes and %d seconds.\n",
minutes, seconds) ;
exit(0) ;
return(0) ;
}
int
main(int argc, char *argv[]) {
char **av, *cp ;
int ac, nargs, i, dof, no_transform, which, sno = 0, nsubjects = 0 ;
MRI *mri=0, *mri_mean = NULL, *mri_std=0, *mri_T1=0,*mri_binary=0,*mri_dof=NULL,
*mri_priors = NULL ;
char *subject_name, *out_fname, fname[STRLEN] ;
/* LTA *lta;*/
MRI *mri_tmp=0 ;
/* rkt: check for and handle version tag */
nargs = handle_version_option (argc, argv, "$Id: mri_make_template.c,v 1.26 2011/03/02 00:04:22 nicks Exp $", "$Name: stable5 $");
if (nargs && argc - nargs == 1)
exit (0);
argc -= nargs;
Progname = argv[0] ;
ErrorInit(NULL, NULL, NULL) ;
DiagInit(NULL, NULL, NULL) ;
ac = argc ;
av = argv ;
for ( ; argc > 1 && ISOPTION(*argv[1]) ; argc--, argv++) {
nargs = get_option(argc, argv) ;
argc -= nargs ;
argv += nargs ;
}
if (!strlen(subjects_dir)) {
cp = getenv("SUBJECTS_DIR") ;
if (!cp)
ErrorExit(ERROR_BADPARM,"%s: SUBJECTS_DIR not defined in environment.\n",
Progname) ;
strcpy(subjects_dir, cp) ;
}
if (argc < 3) usage_exit(1) ;
out_fname = argv[argc-1] ;
no_transform = first_transform ;
if (binary_name) /* generate binarized volume with priors and */
{ /* separate means and variances */
for (which = BUILD_PRIORS ; which <= OFF_STATS ; which++) {
/* for each subject specified on cmd line */
for (dof = 0, i = 1 ; i < argc-1 ; i++) {
if (*argv[i] == '-') /* don't do transform for next subject */
{ no_transform = 1 ;
continue ;
}
dof++ ;
subject_name = argv[i] ;
if (which != BUILD_PRIORS) {
sprintf(fname, "%s/%s/mri/%s", subjects_dir, subject_name, T1_name);
fprintf(stderr, "%d of %d: reading %s...\n", i, argc-2, fname) ;
mri_T1 = MRIread(fname) ;
if (!mri_T1)
ErrorExit(ERROR_NOFILE,"%s: could not open volume %s",
Progname,fname);
}
sprintf(fname, "%s/%s/mri/%s",subjects_dir,subject_name,binary_name);
fprintf(stderr, "%d of %d: reading %s...\n", i, argc-2, fname) ;
mri_binary = MRIread(fname) ;
if (!mri_binary)
ErrorExit(ERROR_NOFILE,"%s: could not open volume %s",
Progname,fname);
/* only count voxels which are mostly labeled */
MRIbinarize(mri_binary, mri_binary, WM_MIN_VAL, 0, 100) ;
if (transform_fname && no_transform-- <= 0) {
sprintf(fname, "%s/%s/mri/transforms/%s",
subjects_dir, subject_name, transform_fname) ;
fprintf(stderr, "reading transform %s...\n", fname) ;
////////////////////////////////////////////////////////
#if 1
{
TRANSFORM *transform ;
transform = TransformRead(fname) ;
if (transform == NULL)
ErrorExit(ERROR_NOFILE, "%s: could not open transform file %s\n",Progname, fname) ;
mri_tmp = TransformApply(transform, mri_T1, NULL) ;
TransformFree(&transform) ;
}
#else
lta = LTAreadEx(fname);
if (lta == NULL)
ErrorExit(ERROR_NOFILE,
"%s: could not open transform file %s\n",
Progname, fname) ;
/* LTAtransform() runs either MRIapplyRASlinearTransform()
for RAS2RAS or MRIlinearTransform() for Vox2Vox. */
/* MRIlinearTransform() calls MRIlinearTransformInterp() */
mri_tmp = LTAtransform(mri_T1, NULL, lta);
MRIfree(&mri_T1) ;
mri_T1 = mri_tmp ;
LTAfree(<a);
lta = NULL;
#endif
if (DIAG_VERBOSE_ON)
fprintf(stderr, "transform application complete.\n") ;
}
if (which == BUILD_PRIORS) {
mri_priors =
MRIupdatePriors(mri_binary, mri_priors) ;
} else {
if (!mri_mean) {
mri_dof = MRIalloc(mri_T1->width, mri_T1->height, mri_T1->depth,
MRI_UCHAR) ;
mri_mean =
MRIalloc(mri_T1->width, mri_T1->height,mri_T1->depth,MRI_FLOAT);
mri_std =
MRIalloc(mri_T1->width,mri_T1->height,mri_T1->depth,MRI_FLOAT);
if (!mri_mean || !mri_std)
ErrorExit(ERROR_NOMEMORY, "%s: could not allocate templates.\n",
Progname) ;
}
if (DIAG_VERBOSE_ON)
fprintf(stderr, "updating mean and variance estimates...\n") ;
if (which == ON_STATS) {
MRIaccumulateMaskedMeansAndVariances(mri_T1, mri_binary, mri_dof,
90, 100, mri_mean, mri_std) ;
fprintf(stderr, "T1 = %d, binary = %d, mean = %2.1f\n",
(int)MRIgetVoxVal(mri_T1, 141,100,127,0),
MRIvox(mri_binary, 141,100,127),
MRIFvox(mri_mean, 141,100,127)) ;
} else /* computing means and vars for off */
MRIaccumulateMaskedMeansAndVariances(mri_T1, mri_binary, mri_dof,
0, WM_MIN_VAL-1,
mri_mean, mri_std) ;
MRIfree(&mri_T1) ;
}
MRIfree(&mri_binary) ;
}
if (which == BUILD_PRIORS) {
mri = MRIcomputePriors(mri_priors, dof, NULL) ;
MRIfree(&mri_priors) ;
fprintf(stderr, "writing priors to %s...\n", out_fname) ;
} else {
MRIcomputeMaskedMeansAndStds(mri_mean, mri_std, mri_dof) ;
mri_mean->dof = dof ;
fprintf(stderr, "writing T1 means with %d dof to %s...\n", mri_mean->dof,
out_fname) ;
if (!which)
MRIwrite(mri_mean, out_fname) ;
else
MRIappend(mri_mean, out_fname) ;
MRIfree(&mri_mean) ;
fprintf(stderr, "writing T1 variances to %s...\n", out_fname);
if (dof <= 1)
MRIreplaceValues(mri_std, mri_std, 0, 1) ;
mri = mri_std ;
}
if (!which)
MRIwrite(mri, out_fname) ;
else
MRIappend(mri, out_fname) ;
MRIfree(&mri) ;
}
}
else {
/* for each subject specified on cmd line */
if (xform_mean_fname) {
m_xform_mean = MatrixAlloc(4,4,MATRIX_REAL) ;
/* m_xform_covariance = MatrixAlloc(12,12,MATRIX_REAL) ;*/
}
dof = 0;
for (i = 1 ; i < argc-1 ; i++) {
if (*argv[i] == '-') {
/* don't do transform for next subject */
no_transform = 1 ;
continue ;
}
dof++ ;
subject_name = argv[i] ;
sprintf(fname, "%s/%s/mri/%s", subjects_dir, subject_name, T1_name);
fprintf(stderr, "%d of %d: reading %s...\n", i, argc-2, fname) ;
mri_T1 = MRIread(fname) ;
if (!mri_T1)
ErrorExit(ERROR_NOFILE,"%s: could not open volume %s",Progname,fname);
check_mri(mri_T1) ;
if (binarize)
MRIbinarize(mri_T1, mri_T1, binarize, 0, 1) ;
if (erode) {
int i ;
printf("eroding input %d times\n", erode) ;
for (i = 0 ; i < erode ; i++)
MRIerode(mri_T1, mri_T1) ;
}
if (open) {
int i ;
printf("opening input %d times\n", open) ;
for (i = 0 ; i < open ; i++)
MRIerode(mri_T1, mri_T1) ;
for (i = 0 ; i < open ; i++)
MRIdilate(mri_T1, mri_T1) ;
}
check_mri(mri_T1) ;
if (transform_fname) {
sprintf(fname, "%s/%s/mri/transforms/%s",
subjects_dir, subject_name, transform_fname) ;
fprintf(stderr, "reading transform %s...\n", fname) ;
////////////////////////////////////////////////////////
#if 1
{
TRANSFORM *transform ;
transform = TransformRead(fname) ;
if (transform == NULL)
ErrorExit(ERROR_NOFILE, "%s: could not open transform file %s\n",Progname, fname) ;
mri_tmp = TransformApply(transform, mri_T1, NULL) ;
if (DIAG_VERBOSE_ON)
MRIwrite(mri_tmp, "t1.mgz") ;
TransformFree(&transform) ;
}
#else
lta = LTAreadEx(fname);
if (lta == NULL)
ErrorExit(ERROR_NOFILE,
"%s: could not open transform file %s\n",
Progname, fname) ;
printf("transform matrix -----------------------\n");
MatrixPrint(stdout,lta->xforms[0].m_L);
/* LTAtransform() runs either MRIapplyRASlinearTransform()
for RAS2RAS or MRIlinearTransform() for Vox2Vox. */
/* MRIlinearTransform() calls MRIlinearTransformInterp() */
mri_tmp = LTAtransform(mri_T1, NULL, lta);
printf("----- -----------------------\n");
LTAfree(<a);
#endif
MRIfree(&mri_T1);
mri_T1 = mri_tmp ; // reassign pointers
if (DIAG_VERBOSE_ON)
fprintf(stderr, "transform application complete.\n") ;
}
if (!mri_mean) {
mri_mean =
MRIalloc(mri_T1->width, mri_T1->height, mri_T1->depth, MRI_FLOAT) ;
mri_std =
MRIalloc(mri_T1->width, mri_T1->height, mri_T1->depth, MRI_FLOAT) ;
if (!mri_mean || !mri_std)
ErrorExit(ERROR_NOMEMORY, "%s: could not allocate templates.\n",
Progname) ;
// if(transform_fname == NULL){
if (DIAG_VERBOSE_ON)
printf("Copying geometry\n");
MRIcopyHeader(mri_T1,mri_mean);
MRIcopyHeader(mri_T1,mri_std);
// }
}
check_mri(mri_mean) ;
if (!stats_only) {
if (DIAG_VERBOSE_ON)
fprintf(stderr, "updating mean and variance estimates...\n") ;
MRIaccumulateMeansAndVariances(mri_T1, mri_mean, mri_std) ;
}
check_mri(mri_mean) ;
if (DIAG_VERBOSE_ON)
MRIwrite(mri_mean, "t2.mgz") ;
MRIfree(&mri_T1) ;
no_transform = 0;
} /* end loop over subjects */
if (xform_mean_fname) {
FILE *fp ;
VECTOR *v = NULL, *vT = NULL ;
MATRIX *m_vvT = NULL ;
int rows, cols ;
nsubjects = sno ;
fp = fopen(xform_covariance_fname, "w") ;
if (!fp)
ErrorExit(ERROR_NOFILE, "%s: could not open covariance file %s",
Progname, xform_covariance_fname) ;
fprintf(fp, "nsubjects=%d\n", nsubjects) ;
MatrixScalarMul(m_xform_mean, 1.0/(double)nsubjects, m_xform_mean) ;
printf("means:\n") ;
MatrixPrint(stdout, m_xform_mean) ;
MatrixAsciiWrite(xform_mean_fname, m_xform_mean) ;
/* subtract the mean from each transform */
rows = m_xform_mean->rows ;
cols = m_xform_mean->cols ;
for (sno = 0 ; sno < nsubjects ; sno++) {
MatrixSubtract(m_xforms[sno], m_xform_mean, m_xforms[sno]) ;
v = MatrixReshape(m_xforms[sno], v, rows*cols, 1) ;
vT = MatrixTranspose(v, vT) ;
m_vvT = MatrixMultiply(v, vT, m_vvT) ;
if (!m_xform_covariance)
m_xform_covariance =
MatrixAlloc(m_vvT->rows, m_vvT->cols,MATRIX_REAL) ;
MatrixAdd(m_vvT, m_xform_covariance, m_xform_covariance) ;
MatrixAsciiWriteInto(fp, m_xforms[sno]) ;
}
MatrixScalarMul(m_xform_covariance, 1.0/(double)nsubjects,
m_xform_covariance) ;
printf("covariance:\n") ;
MatrixPrint(stdout, m_xform_covariance) ;
MatrixAsciiWriteInto(fp, m_xform_covariance) ;
fclose(fp) ;
if (stats_only)
exit(0) ;
}
MRIcomputeMeansAndStds(mri_mean, mri_std, dof) ;
check_mri(mri_mean) ;
check_mri(mri_std) ;
mri_mean->dof = dof ;
if (smooth) {
MRI *mri_kernel, *mri_smooth ;
printf("applying smoothing kernel\n") ;
mri_kernel = MRIgaussian1d(smooth, 100) ;
mri_smooth = MRIconvolveGaussian(mri_mean, NULL, mri_kernel) ;
MRIfree(&mri_kernel) ;
MRIfree(&mri_mean) ;
mri_mean = mri_smooth ;
}
fprintf(stderr, "\nwriting T1 means with %d dof to %s...\n", mri_mean->dof,
out_fname) ;
MRIwrite(mri_mean, out_fname) ;
MRIfree(&mri_mean) ;
if (dof <= 1) /* can't calculate variances - set them to reasonable val */
{
// src dst
MRIreplaceValues(mri_std, mri_std, 0, 1) ;
}
if (!novar) {
// mri_std contains the variance here (does it?? I don't think so -- BRF)
if (!var_fname) {
fprintf(stderr, "\nwriting T1 standard deviations to %s...\n", out_fname);
MRIappend(mri_std, out_fname) ;
} else {
fprintf(stderr, "\nwriting T1 standard deviations to %s...\n", var_fname);
MRIwrite(mri_std, var_fname) ;
}
}
MRIfree(&mri_std) ;
if (mri)
MRIfree(&mri);
} /* end if binarize */
return(0) ;
}
