static MRI *
edit_amygdala(MRI *mri_in_labeled, MRI *mri_T1, MRI *mri_out_labeled) {
int width, height, depth, x, y, z, nchanged, label, total_changed,
dup, ddown, left ;
MRI *mri_tmp ;
mri_out_labeled = MRIcopy(mri_in_labeled, mri_out_labeled) ;
mri_tmp = MRIcopy(mri_out_labeled, NULL) ;
width = mri_T1->width ;
height = mri_T1->height ;
depth = mri_T1->depth ;
total_changed = 0 ;
do {
nchanged = 0 ;
/* change gray to wm if near amygdala */
for (z = 0 ; z < depth ; z++) {
for (y = 0 ; y < height ; y++) {
for (x = 0 ; x < width ; x++) {
if (x == 95 && y == 127 && z == 119)
DiagBreak() ;
label = MRIvox(mri_tmp, x, y, z) ;
left = 0 ;
switch (label) {
case Left_Cerebral_Cortex:
left = 1 ;
case Right_Cerebral_Cortex:
dup = distance_to_label(mri_out_labeled,
left ? Left_Amygdala :
Right_Amygdala,x,y,z,0,-1,0,2);
ddown = distance_to_label(mri_out_labeled,
left ? Left_Cerebral_White_Matter :
Right_Cerebral_White_Matter,
x,y,z,0,1,0,3);
if (dup <= 1 && ddown <= 1) {
label = left ?
Left_Cerebral_White_Matter : Right_Cerebral_White_Matter;
MRIvox(mri_tmp, x, y, z) = label ;
nchanged++ ;
continue ;
}
default:
break ;
}
}
}
}
MRIcopy(mri_tmp, mri_out_labeled) ;
total_changed += nchanged ;
} while (nchanged > 0) ;
MRIfree(&mri_tmp) ;
printf("%d amygdala voxels changed.\n", total_changed) ;
return(mri_out_labeled) ;
}
static MRI *
edit_cortical_gray_matter(MRI *mri_in_labeled,MRI *mri_T1,MRI *mri_out_labeled) {
int width, height, depth, x, y, z, nchanged, label, total_changed,
left, niter, change ;
MRI *mri_tmp ;
mri_out_labeled = MRIcopy(mri_in_labeled, mri_out_labeled) ;
mri_tmp = MRIcopy(mri_out_labeled, NULL) ;
width = mri_T1->width ;
height = mri_T1->height ;
depth = mri_T1->depth ;
niter = total_changed = 0 ;
do {
nchanged = 0 ;
/* change gray to wm if near amygdala */
for (z = 0 ; z < depth ; z++) {
for (y = 0 ; y < height ; y++) {
for (x = 0 ; x < width ; x++) {
if (x == 95 && y == 127 && z == 119)
DiagBreak() ;
label = MRIvox(mri_tmp, x, y, z) ;
change = left = 0 ;
switch (label) {
case Left_Cerebral_Cortex:
case Unknown:
case Right_Cerebral_Cortex:
if (neighborLabel(mri_tmp,x,y,z,1,Left_Cerebral_White_Matter) &&
neighborLabel(mri_tmp,x,y,z,1,Right_Cerebral_White_Matter)) {
left =
sagittalNeighbors(mri_tmp,x,y,z,3,Left_Cerebral_White_Matter)>
sagittalNeighbors(mri_tmp,x,y,z,3,Right_Cerebral_White_Matter);
label = left ?
Left_Cerebral_White_Matter : Right_Cerebral_White_Matter;
MRIvox(mri_tmp, x, y, z) = label ;
nchanged++ ;
continue ;
}
default:
break ;
}
}
}
}
MRIcopy(mri_tmp, mri_out_labeled) ;
total_changed += nchanged ;
} while ((nchanged > 0) && (niter++ < 3)) ;
MRIfree(&mri_tmp) ;
printf("%d midline voxels changed.\n", total_changed) ;
return(mri_out_labeled) ;
}
int
relabel_hypointensities_neighboring_gray(MRI *mri)
{
int x, y, z, label, changed, i ;
MRI *mri_tmp = NULL ;
for (changed = i = 0 ; i < 2 ; i++) {
mri_tmp = MRIcopy(mri, mri_tmp) ;
for (x = 0 ; x < mri->width ; x++) {
for (y = 0 ; y < mri->height ; y++) {
for (z = 0 ; z < mri->depth ; z++) {
label = MRIgetVoxVal(mri_tmp, x, y, z, 0) ;
if (label != WM_hypointensities) {
continue ;
}
if (MRIneighbors(mri_tmp, x, y, z, Left_Cerebral_Cortex) > 0) {
MRIsetVoxVal(mri, x, y, z, 0, Left_Cerebral_Cortex) ;
changed++ ;
} else if (MRIneighbors(mri_tmp,x,y,z,Right_Cerebral_Cortex) > 0) {
MRIsetVoxVal(mri, x, y, z, 0, Right_Cerebral_Cortex) ;
changed++ ;
}
}
}
}
}
printf("%d hypointense voxels neighboring cortex changed\n", changed) ;
return(NO_ERROR) ;
}
int
main(int argc, char *argv[]) {
char **av ;
int ac, nargs, i ;
MRI *mri_src, *mri_dst = NULL ;
char *in_fname, *out_fname ;
/* rkt: check for and handle version tag */
nargs = handle_version_option (argc, argv, "$Id: mri_reduce.c,v 1.7 2011/03/02 00:04:24 nicks Exp $", "$Name: stable5 $");
if (nargs && argc - nargs == 1)
exit (0);
argc -= nargs;
Progname = argv[0] ;
ErrorInit(NULL, NULL, NULL) ;
DiagInit(NULL, NULL, NULL) ;
ac = argc ;
av = argv ;
for ( ; argc > 1 && ISOPTION(*argv[1]) ; argc--, argv++) {
nargs = get_option(argc, argv) ;
argc -= nargs ;
argv += nargs ;
}
if (argc < 1)
argc = 1 ;
if (argc < 1)
ErrorExit(ERROR_BADPARM, "%s: no input name specified", Progname) ;
in_fname = argv[1] ;
if (argc < 2)
ErrorExit(ERROR_BADPARM, "%s: no output name specified", Progname) ;
out_fname = argv[2] ;
fprintf(stderr, "reading from %s...", in_fname) ;
mri_src = MRIread(in_fname) ;
i = 0 ;
do {
if (i)
mri_src = MRIcopy(mri_dst, NULL) ;
fprintf(stderr, "\nreducing by 2");
mri_dst = MRIallocSequence(mri_src->width/2, mri_src->height/2, mri_src->depth/2, MRI_FLOAT, mri_src->nframes);
MRIreduce(mri_src, mri_dst) ;
MRIfree(&mri_src) ;
} while (++i < reductions) ;
fprintf(stderr, "\nwriting to %s", out_fname) ;
MRIwrite(mri_dst, out_fname) ;
fprintf(stderr, "\n") ;
exit(0) ;
return(0) ;
}
/***-------------------------------------------------------****/
int main(int argc, char *argv[])
{
int nargs, index, ac, nvolumes;
char **av ;
MRI *mri_and = NULL, *mri ;
/* rkt: check for and handle version tag */
nargs = handle_version_option (argc, argv, vcid, "$Name: $");
if (nargs && argc - nargs == 1)
exit (0);
Progname = argv[0] ;
argc -= nargs;
ac = argc ;
av = argv ;
for ( ; argc > 1 && ISOPTION(*argv[1]) ; argc--, argv++)
{
nargs = get_option(argc, argv) ;
argc -= nargs ;
argv += nargs ;
}
nvolumes = argc-2 ;
if (nvolumes <= 0)
usage_exit() ;
printf("processing %d input files\n", nvolumes) ;
ErrorInit(NULL, NULL, NULL) ;
DiagInit(NULL, NULL, NULL) ;
for (index = 0 ; index < nvolumes ; index++)
{
char *fname = argv[index+1] ;
printf("processing input volume %d of %d: %s\n",
index+1, nvolumes, fname) ;
mri = MRIread(fname) ;
if (index == 0)
mri_and = MRIcopy(mri, NULL) ;
else
MRIand(mri, mri_and, mri_and, 0) ;
MRIfree(&mri) ;
}
printf("writing output to %s\n", argv[argc-1]) ;
MRIwrite(mri_and, argv[argc-1]) ;
exit(0);
} /* end main() */
MRI *
MRIremoveFilledBrightStuff(MRI *mri_T1, MRI *mri_labeled, MRI *mri_dst,
int filled_label, float thresh)
{
int x, y, z, width, height, depth, nwhite, ntested, nchanged ;
BUFTYPE val ;
float intensity_thresh ;
if (!mri_dst)
{
mri_dst = MRIcopy(mri_labeled, NULL) ;
}
width = mri_T1->width ;
height = mri_T1->height ;
depth = mri_T1->depth ;
ntested = nchanged = 0 ;
for (z = 0 ; z < depth ; z++)
{
for (y = 0 ; y < height ; y++)
{
for (x = 0 ; x < width ; x++)
{
val = MRIgetVoxVal(mri_T1, x, y, z, 0) ;
ntested++ ;
if (MRIgetVoxVal(mri_labeled, x, y, z, 0) == filled_label &&
val > thresh)
{
MRIsetVoxVal(mri_labeled, x, y, z, 0) ;
nchanged++ ;
}
}
}
}
if (Gdiag & DIAG_SHOW)
{
fprintf(stderr, " %8d voxels tested (%2.2f%%)\n",
ntested, 100.0f*(float)ntested/ (float)(width*height*depth));
fprintf(stderr, " %8d voxels changed (%2.2f%%)\n",
nchanged, 100.0f*(float)nchanged/ (float)(width*height*depth));
}
return(mri_dst) ;
}
/*---------------------------------------------------------------*/
MRI *fMRIsqrt(MRI *mri, MRI *mrisqrt) {
int c,r,s,f;
double val;
if (mrisqrt == NULL) mrisqrt = MRIcopy(mri,NULL);
if (mrisqrt == NULL) return(NULL);
for (c=0; c < mri->width; c++) {
for (r=0; r < mri->height; r++) {
for (s=0; s < mri->depth; s++) {
for (f=0; f < mri->nframes; f++) {
val = MRIgetVoxVal(mri,c,r,s,f);
if (val < 0.0) val = 0;
else val = sqrt(val);
MRIsetVoxVal(mri,c,r,s,f,val);
}
}
}
}
return(mrisqrt);
}
static int
extract_labeled_image(MRI *mri_src,
TRANSFORM *transform,
int label,
MRI *mri_dst)
{
MRI *mri_binarized, *mri_tmp ;
mri_binarized = MRIclone(mri_src, NULL) ;
nvoxels += MRIcopyLabel(mri_src, mri_binarized, label) ;
MRIbinarize(mri_binarized, mri_binarized, 1, 0, UNIT_VOLUME) ;
if (transform)
mri_tmp = TransformCreateDensityMap(transform, mri_binarized, NULL) ;
else
mri_tmp = MRIcopy(mri_binarized,NULL) ;
MRIadd(mri_tmp, mri_dst, mri_dst) ;
MRIfree(&mri_binarized) ;
MRIfree(&mri_tmp) ;
return(NO_ERROR) ;
}
MRI *
MRIfloatToChar(MRI *mri_src, MRI *mri_dst) {
int width, height, depth/*, x, y, z, out_val*/ ;
/* float fmax, fmin ;*/
width = mri_src->width ;
height = mri_src->height ;
depth = mri_src->depth ;
if (!mri_dst)
mri_dst = MRIalloc(width, height, depth, MRI_UCHAR) ;
#if 1
MRIcopy(mri_src, mri_dst) ;
#else
MRIvalRange(mri_src, &fmin, &fmax) ;
for (z = 0 ; z < depth ; z++) {
for (y = 0 ; y < height ; y++) {
for (x = 0 ; x < width ; x++) {}
}
}
#endif
return(mri_dst) ;
}
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, index, ac, nvolumes;
char **av ;
MRI *mri_or = NULL, *mri ;
/* rkt: check for and handle version tag */
nargs = handle_version_option (argc, argv, vcid, "$Name: $");
if (nargs && argc - nargs == 1)
exit (0);
Progname = argv[0] ;
argc -= nargs;
ac = argc ;
av = argv ;
for ( ; argc > 1 && ISOPTION(*argv[1]) ; argc--, argv++)
{
nargs = get_option(argc, argv) ;
argc -= nargs ;
argv += nargs ;
}
nvolumes = argc-2 ;
if (nvolumes <= 0)
usage_exit() ;
printf("processing %d input files\n", nvolumes) ;
ErrorInit(NULL, NULL, NULL) ;
DiagInit(NULL, NULL, NULL) ;
for (index = 0 ; index < nvolumes ; index++)
{
char *fname = argv[index+1] ;
printf("processing input volume %d of %d: %s\n",
index+1, nvolumes, fname) ;
mri = MRIread(fname) ;
if (index == 0){
mri_or = MRIcopy(mri, NULL) ;
// if nvolumes == 1 binarize the volume! LZ: MRIbinarize(MRI *mri_src, MRI *mri_dst, float threshold, float low_val,float hi_val)
if (nvolumes == 1) {
if(use_orig_value)
MRIorVal(mri, mri_or, mri_or, 0) ;
else
MRIor(mri, mri_or, mri_or, 0) ;
}
}
else {
if(use_orig_value)
MRIorVal(mri, mri_or, mri_or, 0) ;
else
MRIor(mri, mri_or, mri_or, 0) ;
}
MRIfree(&mri) ;
}
printf("writing output to %s\n", argv[argc-1]) ;
MRIwrite(mri_or, argv[argc-1]) ;
exit(0);
} /* end main() */
/*---------------------------------------------------------------*/
int main(int argc, char *argv[]) {
int nargs, n, Ntp, nsearch, nsearch2=0;
double fwhm = 0, nresels, voxelvolume, nvoxperresel, reselvolume;
double car1mn, rar1mn,sar1mn,cfwhm,rfwhm,sfwhm, ftmp;
double car2mn, rar2mn,sar2mn;
double gmean, gstd, gmax;
FILE *fp;
sprintf(tmpstr, "S%sER%sRONT%sOR", "URF", "_F", "DO") ;
setenv(tmpstr,"1",0);
nargs = handle_version_option (argc, argv, vcid, "$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;
}
/*------------------------------------------------------------------------*/
MRI *MRImaskedGaussianSmoothTo(MRI *invol, MRI *mask, double ToFWHM,
double tol, int nitersmax,
double *pByFWHM, double *pToFWHMActual, int *niters,
MRI *outvol) {
double SrcFWHM, ByGStd;
MRI *volsm;
double ya, yb, yc, xa, xb, xc, s1, s2;
double xn,yn;
double C, R, err;
int nth;
C = (3.0-sqrt(5.0))/2.0; // golden mean
R = 1-C;
*niters = 0;
SrcFWHM = EvalFWHM(invol, mask);
if (SrcFWHM > ToFWHM) {
printf("ERROR: MRImaskedGaussianSmoothTo(): the inherent smoothness\n");
printf("of the data set is about fwhm=%gmm, which is more than the\n",SrcFWHM);
printf("amount that you want to smooth it to (%gmm). It is impossible\n",ToFWHM);
printf("to 'unsmooth' the data.\n");
return(NULL);
}
xa = 0;
ya = SrcFWHM;
printf("Unsmoothed actual fwhm is %g\n",ya);
// Check whether we are close enough already
if (fabs(SrcFWHM-ToFWHM) < tol) {
*pByFWHM = 0.0;
*pToFWHMActual = SrcFWHM;
outvol = MRIcopy(invol,outvol);
return(outvol);
}
volsm = MRIcopy(invol,NULL); // allocate
// First point in the bracket
// Second point in the bracket
(*niters)++;
xb = sqrt(ToFWHM*ToFWHM - SrcFWHM*SrcFWHM); // power law
ByGStd = xb/sqrt(log(256.0));
printf("Trying smoothing by fwhm %g ",xb);
fflush(stdout);
MRImaskedGaussianSmooth(invol, mask, ByGStd, volsm);
yb = EvalFWHM(volsm, mask);
printf("results in actual fwhm of %g\n",yb);
// Check whether we are close enough now
if (fabs(yb-ToFWHM) < tol) {
*pByFWHM = xb;
*pToFWHMActual = yb;
outvol = MRIcopy(volsm,outvol);
MRIfree(&volsm);
return(outvol);
}
// Third point in the bracket. Not sure how to choose this point,
// it needs to be far enough to bracket the min, but too far
// and we end up doing to many evaluations.
(*niters)++;
xc = xb + (xb - xa); //
ByGStd = xc/sqrt(log(256.0));
printf("Trying smoothing by fwhm %g ",xc);
fflush(stdout);
MRImaskedGaussianSmooth(invol, mask, ByGStd, volsm);
yc = EvalFWHM(volsm, mask);
printf("results in actual fwhm of %g\n",yc);
// Check whether we are close enough now
if (fabs(yc-ToFWHM) < tol) {
*pByFWHM = xc;
*pToFWHMActual = yc;
outvol = MRIcopy(volsm,outvol);
MRIfree(&volsm);
return(outvol);
}
if (yc < ToFWHM) {
// Did not step far enough out
printf("ERROR: did not step far enough out\n");
return(NULL);
}
// ok, we've brackated the min, now chase it down like a scared rabbit
// using a golden section search (see numerical recipes in C).
printf("Beginning golden section search.\n");
printf("Expecting roughly %d iterations will be needed.\n",
(int)ceil(log(tol/(xc-xa))/log(R)));
nth = 0;
getybest(xa, ya, xb, yb, xc, yc, pByFWHM, pToFWHMActual, ToFWHM);
err = fabs(*pToFWHMActual-ToFWHM);
while ( err > tol) {
if (nth > nitersmax) {
printf("ERROR: searched timed out at niters=%d\n",nth);
MRIfree(&volsm);
return(NULL);
}
printf("n=%d by=(%4.2lf,%4.2lf,%4.2lf) to=(%4.2lf,%4.2lf,%4.2lf) err=%g\n",
nth, xa, xb, xc, ya, yb, yc, err);
fflush(stdout);
s1 = xb - xa;
s2 = xc - xb;
if (s1 > s2) { // s1 is bigger
xn = xa + R*s1;
printf(" Trying smoothing by fwhm %g ",xn);
fflush(stdout);
ByGStd = xn/sqrt(log(256.0));
MRImaskedGaussianSmooth(invol, mask, ByGStd, volsm);
yn = EvalFWHM(volsm, mask);
printf("results in actual fwhm of %g\n",yn);
if (fabs(yn-ToFWHM) < fabs(ToFWHM-yb)) {
xc = xb;
yc = yb;
xb = xn;
yb = yn;
} else {
xa = xn; //a replaced by new
ya = yn;
// b and c stay the same
}
} else { // s2 is bigger
xn = xb + C*s2;
ByGStd = xn/sqrt(log(256.0));
printf(" Trying smoothing by fwhm %g ",xn);
fflush(stdout);
MRImaskedGaussianSmooth(invol, mask, ByGStd, volsm);
yn = EvalFWHM(volsm, mask);
printf("results in actual fwhm of %g\n",yn);
if (fabs(yn-ToFWHM) < fabs(ToFWHM-yb)) {
xa = xb; //a replaced by b
ya = yb;
xb = xn; //b replace by new
yb = yn;
// c stays the same
} else {
xc = xn; //c replaced by new
yc = yn;
// a and b stay the same
}
}
getybest(xa, ya, xb, yb, xc, yc, pByFWHM, pToFWHMActual, ToFWHM);
err = fabs(*pToFWHMActual-ToFWHM);
nth++;
(*niters)++;
}
printf("niters=%3d by=%6.4lf to=%6.4lf targ=%6.4lf err=%g\n",
nth, *pByFWHM, *pToFWHMActual, ToFWHM, err);
outvol = MRIcopy(volsm,outvol);
MRIfree(&volsm);
return(outvol);
}
static MRI *
MRIcomputeSurfaceDistanceIntensities(MRI_SURFACE *mris, MRI *mri_ribbon, MRI *mri_aparc, MRI *mri, MRI *mri_aseg, int whalf)
{
MRI *mri_features, *mri_binary, *mri_white_dist, *mri_pial_dist ;
int vno, ngm, outside_of_ribbon, label0, label, ohemi_label, xi, yi, zi, xk, yk, zk, x0, y0, z0, hemi_label, assignable ;
double xv, yv, zv, step_size, dist, thickness, wdist, pdist, snx, sny, snz, nx, ny, nz, xl, yl, zl, x, y, z, dot, angle ;
VERTEX *v ;
mri_features = MRIallocSequence(mris->nvertices, 1, 1, MRI_FLOAT, 1) ; // one samples inwards, one in ribbon, and one outside
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") ;
if (mris->hemisphere == LEFT_HEMISPHERE)
{
ohemi_label = Right_Cerebral_Cortex ;
hemi_label = Left_Cerebral_Cortex ;
}
else
{
hemi_label = Right_Cerebral_Cortex ;
ohemi_label = Left_Cerebral_Cortex ;
}
step_size = mri->xsize/2 ;
for (vno = 0 ; vno < mris->nvertices ; vno++)
{
v = &mris->vertices[vno] ;
if (vno == Gdiag_no)
DiagBreak() ;
if (v->ripflag)
continue ; // not cortex
nx = v->pialx - v->whitex ; ny = v->pialy - v->whitey ; nz = v->pialz - v->whitez ;
thickness = sqrt(nx*nx + ny*ny + nz*nz) ;
if (FZERO(thickness))
continue ; // no cortex here
x = (v->pialx + v->whitex)/2 ; y = (v->pialy + v->whitey)/2 ; z = (v->pialz + v->whitez)/2 ; // halfway between white and pial is x0
MRISsurfaceRASToVoxelCached(mris, mri_aseg, x, y, z, &xl, &yl, &zl) ;
x0 = nint(xl); y0 = nint(yl) ; z0 = nint(zl) ;
label0 = MRIgetVoxVal(mri_aparc, x0, y0, z0,0) ;
// compute surface normal in voxel coords
MRISsurfaceRASToVoxelCached(mris, mri_aseg, x+v->nx, y+v->ny, z+v->nz, &snx, &sny, &snz) ;
snx -= xl ; sny -= yl ; snz -= zl ;
for (ngm = 0, xk = -whalf ; xk <= whalf ; xk++)
{
xi = mri_aseg->xi[x0+xk] ;
for (yk = -whalf ; yk <= whalf ; yk++)
{
yi = mri_aseg->yi[y0+yk] ;
for (zk = -whalf ; zk <= whalf ; zk++)
{
zi = mri_aseg->zi[z0+zk] ;
label = MRIgetVoxVal(mri_aseg, xi, yi, zi,0) ;
if (xi == Gx && yi == Gy && zi == Gz)
DiagBreak() ;
if (label != hemi_label)
continue ;
label = MRIgetVoxVal(mri_aparc, xi, yi, zi,0) ;
if (label && label != label0) // if outside the ribbon it won't be assigned to a parcel
continue ; // constrain it to be in the same cortical parcel
// search along vector connecting x0 to this point to make sure it is we don't perforate wm or leave and re-enter cortex
nx = xi-x0 ; ny = yi-y0 ; nz = zi-z0 ;
thickness = sqrt(nx*nx + ny*ny + nz*nz) ;
assignable = 1 ; // assume this point should be counted
if (thickness > 0)
{
nx /= thickness ; ny /= thickness ; nz /= thickness ;
dot = nx*snx + ny*sny + nz*snz ; angle = acos(dot) ;
if (FABS(angle) > angle_threshold)
assignable = 0 ;
outside_of_ribbon = 0 ;
for (dist = 0 ; assignable && dist <= thickness ; dist += step_size)
{
xv = x0+nx*dist ; yv = y0+ny*dist ; zv = z0+nz*dist ;
if (nint(xv) == Gx && nint(yv) == Gy && nint(zv) == Gz)
DiagBreak() ;
MRIsampleVolume(mri_pial_dist, xv, yv, zv, &pdist) ;
MRIsampleVolume(mri_white_dist, xv, yv, zv, &wdist) ;
label = MRIgetVoxVal(mri_aseg, xi, yi, zi,0) ;
if (SKIP_LABEL(label) || label == ohemi_label)
assignable = 0 ;
if (wdist < 0) // entered wm - not assignable
assignable = 0 ;
else
{
if (pdist > 0) // outside pial surface
outside_of_ribbon = 1 ;
else
{
if (outside_of_ribbon) // left ribbon and reentered
assignable = 0 ;
}
}
}
} // close of thickness > 0
if (assignable)
ngm++ ;
else
DiagBreak() ;
}
}
}
MRIsetVoxVal(mri_features, vno, 0, 0, 0, ngm) ;
}
MRIfree(&mri_white_dist) ; MRIfree(&mri_pial_dist) ; MRIfree(&mri_binary) ;
return(mri_features) ;
}
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) ;
}
int main(int argc, char *argv[])
{
char **av, *surf_name, *out_prefix, *fname;
int nargs, ac, i, nsubjects, total, index;
double scalar, std, tmp, maxV, minV, meanV;
MRI *SrcVals[2], *AvgVals;
MRI_SURFACE *BaseSurf;
/* rkt: check for and handle version tag */
nargs = handle_version_option (argc, argv, "$Id: mris_diff_on_surface.c,v 1.3 2011/03/02 00:04:55 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 ;
}
/* command line: <surf> <datafile 1> <datafile 2> <output prefix> */
if (argc != 5)
usage_exit();
surf_name = argv[1];
out_prefix = argv[argc - 1];
if (srctypestring == NULL || trgtypestring == NULL)
{
printf("Please specify both input and output data type!\n");
usage_exit();
}
printf("Reading underlying surface file\n");
BaseSurf = MRISread(surf_name);
if (!BaseSurf)
ErrorExit(ERROR_NOFILE, "%s:could not read surface %s", Progname, surf_name);
printf("Base surface has %d vertices\n", BaseSurf->nvertices);
/* Read in the first data file */
fname = argv[2];
/* only two data types are supported */
if (!strcmp(srctypestring,"curv"))
{ /* curvature file */
if (MRISreadCurvatureFile(BaseSurf, fname) != 0)
{
printf("ERROR: reading curvature file\n");
exit(1);
}
SrcVals[0] = MRIcopyMRIS(NULL, BaseSurf, 0, "curv");
}
else if (!strcmp(srctypestring,"paint") || !strcmp(srctypestring,"w"))
{
MRISreadValues(BaseSurf,fname);
SrcVals[0] = MRIcopyMRIS(NULL, BaseSurf, 0, "val");
}
else
{
printf("ERROR: unknown data file format\n");
exit(1);
}
if (SrcVals[0] == NULL)
{
fprintf(stderr, "ERROR loading data values from %s\n", fname);
}
/* Read in the second data file */
fname = argv[3];
/* only two data types are supported */
if (!strcmp(srctypestring,"curv"))
{ /* curvature file */
if (MRISreadCurvatureFile(BaseSurf, fname) != 0)
{
printf("ERROR: reading curvature file\n");
exit(1);
}
SrcVals[1] = MRIcopyMRIS(NULL, BaseSurf, 0, "curv");
}
else if (!strcmp(srctypestring,"paint") || !strcmp(srctypestring,"w"))
{
MRISreadValues(BaseSurf,fname);
SrcVals[1] = MRIcopyMRIS(NULL, BaseSurf, 0, "val");
}
else
{
printf("ERROR: unknown data file format\n");
exit(1);
}
if (SrcVals[1] == NULL)
{
fprintf(stderr, "ERROR loading data values from %s\n", fname);
}
if (debugflag)
{
for (i=0; i < 2; i++)
{
printf("Data%d at vertex %d has value %g\n",i, debugvtx, MRIFseq_vox(SrcVals[i], debugvtx, 0, 0, 0));
}
}
#if 0
AvgVals = MRIclone(SrcVals[0], NULL);
if (negflag) /* Add the two data sets */
AvgVals = MRIadd(SrcVals[0], SrcVals[1], AvgVals);
else /* Data1 - Data2 */
AvgVals = MRIsubtract(SrcVals[0], SrcVals[1], AvgVals);
#endif
AvgVals = MRIcopy(SrcVals[0], NULL);
if (negflag)
{
for (index=0; index < BaseSurf->nvertices; index++)
{
MRIFseq_vox(AvgVals, index, 0, 0, 0) = MRIFseq_vox(SrcVals[0], index, 0, 0, 0) +
MRIFseq_vox(SrcVals[1], index, 0, 0, 0);
}
}
else
{
for (index=0; index < BaseSurf->nvertices; index++)
{
MRIFseq_vox(AvgVals, index, 0, 0, 0) = MRIFseq_vox(SrcVals[0], index, 0, 0, 0) -
MRIFseq_vox(SrcVals[1], index, 0, 0, 0);
}
}
maxV = -1000.0;
minV = 1000.0;
meanV=0.0;
for (index=0; index < BaseSurf->nvertices; index++)
{
scalar = MRIFseq_vox(AvgVals, index, 0, 0, 0);
if (maxV < scalar) maxV = scalar;
if (minV > scalar) minV = scalar;
meanV += scalar;
}
meanV /= BaseSurf->nvertices;
printf("Output max = %g, min = %g, mean = %g\n", maxV, minV, meanV);
if (debugflag)
{
printf("Output at vertex %d has value %g\n", debugvtx, MRIFseq_vox(AvgVals, debugvtx, 0, 0, 0));
}
if (pathflag)
sprintf(fname, "%s", out_prefix);
else
{
if (negflag)
sprintf(fname, "%s.sum.w", out_prefix) ;
else
sprintf(fname, "%s.diff.w", out_prefix) ;
}
if (!strcmp(trgtypestring,"paint") || !strcmp(trgtypestring,"w"))
{
/* This function will remove a zero-valued vertices */
/* Make sense, since default value is considered as zero */
/* But it will confuse the processing with matlab! */
/* So I copy the data to the curv field to force every value is
* written out
*/
/* MRIScopyMRI(BaseSurf, AvgVals, framesave, "val");*/
/* MRISwriteValues(BaseSurf,fname); */
MRIScopyMRI(BaseSurf, AvgVals, framesave, "curv");
MRISwriteCurvatureToWFile(BaseSurf,fname);
}
else
{
fprintf(stderr, "ERROR unknown output file format.\n");
}
/* Free memories */
MRISfree(&BaseSurf);
MRIfree(&AvgVals);
for (i=0; i < 2; i++)
{
MRIfree(&SrcVals[i]);
}
return 0;
}
/*------------------------------------------------------*/
MRI *afniRead(const char *fname, int read_volume)
{
FILE *fp;
char header_fname[STRLEN];
char *c;
MRI *mri, *header;
int big_endian_flag;
long brik_file_length;
long nvoxels;
int bytes_per_voxel;
int i, j, k;
int swap_flag;
AF af;
float scaling = 1.;
void *pmem = 0;
float *pf;
short *ps;
unsigned char *pc;
float det;
float xfov, yfov, zfov;
float fMin = 0.;
float fMax = 0.;
float flMin = 0.;
float flMax = 0.;
int initialized = 0;
int frame;
int bytes;
strcpy(header_fname, fname);
c = strrchr(header_fname, '.');
if (c == NULL)
{
errno = 0;
ErrorReturn(NULL, (ERROR_BADPARM, "afniRead(): bad file name %s", fname));
}
if (strcmp(c, ".BRIK") != 0)
{
errno = 0;
ErrorReturn(NULL, (ERROR_BADPARM, "afniRead(): bad file name %s", fname));
}
sprintf(c, ".HEAD");
if ((fp = fopen(header_fname, "r")) == NULL)
{
errno = 0;
ErrorReturn(NULL, (ERROR_BADFILE, "afniRead(): error opening file %s", header_fname));
}
// initialize AFNI structure
AFinit(&af);
// read header file
if (!readAFNIHeader(fp, &af))
return (NULL);
printAFNIHeader(&af);
// well, we don't have time
if (af.numtypes != 1) // should be the same as af.dataset_rank[1] = subbricks
{
errno = 0;
// ErrorReturn(NULL, (ERROR_UNSUPPORTED, "afniRead(): nframes = %d (only 1 frame supported)", af.numtypes));
printf("INFO: number of frames dataset_rank[1] = %d : numtypes = %d \n",
af.dataset_rank[1], af.numtypes);
}
// byteorder_string : required field
if (strcmp(af.byteorder_string, "MSB_FIRST") == 0)
big_endian_flag = 1;
else if (strcmp(af.byteorder_string, "LSB_FIRST") == 0)
big_endian_flag = 0;
else
{
errno = 0;
ErrorReturn(NULL, (ERROR_BADPARM, "read_afni_header(): unrecognized byte order string %s",
af.byteorder_string));
}
// brick_types : required field
if (af.brick_types[0] == 2 // int
|| af.brick_types[0] > 3 )// 4 = double, 5 = complex, 6 = rgb
{
errno = 0;
ErrorReturn(NULL,
(ERROR_BADPARM,
"afniRead(): unsupported data type %d, Must be 0 (byte), 1(short), or 3(float)",
af.brick_types[0]));
}
//////////////////////////////////////////////////////////////////////////////////
// now we allocate space for MRI
// dataset_dimensions : required field
header = MRIallocHeader(af.dataset_dimensions[0],
af.dataset_dimensions[1],
af.dataset_dimensions[2],
MRI_UCHAR,
af.dataset_rank[1]
);
// set number of frames
header->nframes = af.dataset_rank[1];
// direction cosines (use orient_specific)
// orient_specific : required field
header->x_r = afni_orientations[af.orient_specific[0]][0];
header->x_a = afni_orientations[af.orient_specific[0]][1];
header->x_s = afni_orientations[af.orient_specific[0]][2];
header->y_r = afni_orientations[af.orient_specific[1]][0];
header->y_a = afni_orientations[af.orient_specific[1]][1];
header->y_s = afni_orientations[af.orient_specific[1]][2];
header->z_r = afni_orientations[af.orient_specific[2]][0];
header->z_a = afni_orientations[af.orient_specific[2]][1];
header->z_s = afni_orientations[af.orient_specific[2]][2];
/* --- quick determinant check --- */
det = + header->x_r * (header->y_a * header->z_s - header->z_a * header->y_s)
- header->x_a * (header->y_r * header->z_s - header->z_r * header->y_s)
+ header->x_s * (header->y_r * header->z_a - header->z_r * header->y_a);
if (det == 0)
{
MRIfree(&header);
errno = 0;
ErrorReturn(NULL,
(ERROR_BADPARM,
"read_afni_header(): error in orientations %d, %d, %d (direction cosine matrix has determinant zero)",
af.orient_specific[0], af.orient_specific[1], af.orient_specific[2]));
}
// sizes use delta
// delta : required field
header->xsize = af.delta[0];
header->ysize = af.delta[1];
header->zsize = af.delta[2];
// uses origin
// origin : required field
header->c_r = header->x_r * (header->xsize * (header->width-1.0)/2.0 + af.origin[0]) +
header->y_r * (header->ysize * (header->height-1.0)/2.0 + af.origin[1]) +
header->z_r * (header->zsize * (header->depth-1.0)/2.0 + af.origin[2]);
header->c_a = header->x_a * (header->xsize * (header->width-1.0)/2.0 + af.origin[0]) +
header->y_a * (header->ysize * (header->height-1.0)/2.0 + af.origin[1]) +
header->z_a * (header->zsize * (header->depth-1.0)/2.0 + af.origin[2]);
header->c_s = header->x_s * (header->xsize * (header->width-1.0)/2.0 + af.origin[0]) +
header->y_s * (header->ysize * (header->height-1.0)/2.0 + af.origin[1]) +
header->z_s * (header->zsize * (header->depth-1.0)/2.0 + af.origin[2]);
header->ras_good_flag = 1;
if (header->xsize < 0)
header->xsize = -header->xsize;
if (header->ysize < 0)
header->ysize = -header->ysize;
if (header->zsize < 0)
header->zsize = -header->zsize;
header->imnr0 = 1;
header->imnr1 = header->depth;
header->ps = header->xsize;
header->thick = header->zsize;
header->xend = (header->width / 2.0) * header->xsize;
header->xstart = -header->xend;
header->yend = (header->height / 2.0) * header->ysize;
header->ystart = -header->yend;
header->zend = (header->depth / 2.0) * header->zsize;
header->zstart = -header->zend;
xfov = header->xend - header->xstart;
yfov = header->yend - header->ystart;
zfov = header->zend - header->zstart;
header->fov = ( xfov > yfov ? (xfov > zfov ? xfov : zfov ) : (yfov > zfov ? yfov : zfov ) );
#if (BYTE_ORDER==LITTLE_ENDIAN)
//#ifdef Linux
swap_flag = big_endian_flag;
#else
swap_flag = !big_endian_flag;
#endif
if ((fp = fopen(fname, "r")) == NULL)
{
MRIfree(&header);
errno = 0;
ErrorReturn(NULL, (ERROR_BADFILE, "afniRead(): error opening file %s", header_fname));
}
fseek(fp, 0, SEEK_END);
brik_file_length = ftell(fp);
fseek(fp, 0, SEEK_SET);
// number of voxels consecutive
nvoxels = header->width * header->height * header->depth * header->nframes;
if (brik_file_length % nvoxels)
{
fclose(fp);
MRIfree(&header);
errno = 0;
ErrorReturn(NULL, (ERROR_BADFILE, "afniRead(): BRIK file length (%d) is not divisible by the number of voxels (%d)", brik_file_length, nvoxels));
}
// bytes_per_voxel = brik_file_length / nvoxels; // this assumes one frame
bytes_per_voxel = af.brick_types[0] + 1; // 0(byte)-> 1, 1(short) -> 2, 3(float)->4
bytes = header->width*header->height*header->depth*bytes_per_voxel;
// this check is for nframes = 1 case which is the one we are supporting
if (bytes_per_voxel != brik_file_length/nvoxels)
{
fclose(fp);
MRIfree(&header);
errno = 0;
ErrorReturn(NULL,
(ERROR_UNSUPPORTED,
"afniRead(): type info stored in header does not agree with the file size: %d != %d/%d",
bytes_per_voxel, brik_file_length/nvoxels));
}
// if brick_float_facs != 0 then we scale values to be float
if (af.numfacs != 0 && af.brick_float_facs[0] != 0.)
{
header->type = MRI_FLOAT;
scaling = af.brick_float_facs[0];
}
else
{
if (bytes_per_voxel == 1)
header->type = MRI_UCHAR;
else if (bytes_per_voxel == 2)
header->type = MRI_SHORT;
else if (bytes_per_voxel == 4)
header->type = MRI_FLOAT;
else
{
fclose(fp);
MRIfree(&header);
errno = 0;
ErrorReturn(NULL, (ERROR_UNSUPPORTED, "afniRead(): don't know what to do with %d bytes per voxel", bytes_per_voxel));
}
}
///////////////////////////////////////////////////////////////////////
if (read_volume)
{
// mri = MRIalloc(header->width, header->height, header->depth, header->type);
mri = MRIallocSequence(header->width, header->height, header->depth,
header->type, header->nframes) ;
MRIcopyHeader(header, mri);
for (frame = 0; frame < header->nframes; ++frame)
{
initialized = 0;
for (k = 0;k < mri->depth;k++)
{
for (j = 0;j < mri->height;j++)
{
if (af.brick_float_facs[frame])
scaling = af.brick_float_facs[frame];
else
scaling = 1.;
{
pmem = (void *) malloc(bytes_per_voxel*mri->width);
if (pmem)
{
if (fread(pmem, bytes_per_voxel, mri->width, fp) != mri->width)
{
fclose(fp);
MRIfree(&header);
errno = 0;
ErrorReturn(NULL, (ERROR_BADFILE, "afniRead(): error reading from file %s", fname));
}
// swap bytes
if (swap_flag)
{
if (bytes_per_voxel == 2) // short
{
swab(pmem, pmem, mri->width * 2);
}
else if (bytes_per_voxel == 4) // float
{
pf = (float *) pmem;
for (i = 0;i < mri->width;i++, pf++)
*pf = swapFloat(*pf);
}
}
// now scaling
if (bytes_per_voxel == 1) // byte
{
pc = (unsigned char *) pmem;
for (i=0; i < mri->width; i++)
{
if (scaling == 1.)
MRIseq_vox(mri, i, j, k, frame) = *pc;
else
MRIFseq_vox(mri, i, j, k, frame) = ((float) (*pc))*scaling;
++pc;
}
findMinMaxByte((unsigned char *) pmem, mri->width, &flMin, &flMax);
}
if (bytes_per_voxel == 2) // short
{
ps = (short *) pmem;
for (i=0; i < mri->width; i++)
{
// if (*ps != 0)
// printf("%d ", *ps);
if (scaling == 1.)
MRISseq_vox(mri, i, j, k, frame) = *ps;
else
MRIFseq_vox(mri, i, j, k, frame) = ((float) (*ps))*scaling;
++ps;
}
findMinMaxShort((short *) pmem, mri->width, &flMin, &flMax);
}
else if (bytes_per_voxel == 4) // float
{
pf = (float *) pmem;
for (i=0; i < mri->width; i++)
{
MRIFseq_vox(mri, i, j, k, frame) = (*pf)*scaling;
++pf;
}
findMinMaxFloat((float *) pmem, mri->width, &flMin, &flMax);
}
free(pmem);
//
if (initialized == 0)
{
fMin = flMin;
fMax = flMax;
initialized = 1;
}
else
{
if (flMin < fMin)
fMin = flMin;
if (flMax > fMax)
fMax = flMax;
// printf("\n fmin =%f, fmax = %f, local min = %f, max = %f\n", fMin, fMax, flMin, flMax);
}
}
else
{
fclose(fp);
MRIfree(&header);
errno = 0;
ErrorReturn(NULL,
(ERROR_BADFILE, "afniRead(): could not allocate memory for reading %s", fname));
}
}
} // height
} // depth
// valid only for nframs == 1
{
printf("BRICK_STATS min = %f <--> actual min = %f\n",
af.brick_stats[0+2*frame], fMin*scaling);
printf("BRICK_STATS max = %f <--> actual max = %f\n",
af.brick_stats[1+2*frame], fMax*scaling);
}
} // nframes
}
else // not reading volume
mri = MRIcopy(header, NULL);
strcpy(mri->fname, fname);
fclose(fp);
MRIfree(&header);
AFclean(&af);
return(mri);
} /* end afniRead() */
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) ;
}
int
MRIsampleParcellationToSurface(MRI_SURFACE *mris, MRI *mri_parc) {
int min_label, max_label, **label_histo, l, vno, nlabels, x, y, z, max_l ;
float fmin, fmax, max_count, d ;
MRIS_HASH_TABLE *mht ;
VERTEX *v ;
Real xs, ys, zs, xv, yv, zv, val ;
MRI *mri_parc_unused ;
mri_parc_unused = MRIcopy(mri_parc, NULL) ;
MRIvalRange(mri_parc, &fmin, &fmax) ;
min_label = (int)floor(fmin) ;
max_label = (int)ceil(fmax) ;
nlabels = max_label - min_label + 1 ;
label_histo = (int **)calloc(mris->nvertices, sizeof(int *)) ;
if (label_histo == NULL)
ErrorExit(ERROR_NOMEMORY, "%s: could not create label frequency histo", Progname) ;
for (vno = 0 ; vno < mris->nvertices ; vno++) {
label_histo[vno] = (int *)calloc(nlabels, sizeof(int)) ;
if (label_histo[vno] == NULL)
ErrorExit(ERROR_NOMEMORY, "%s: could not create label frequency histo[%d] with %d bins",
Progname, vno, nlabels) ;
}
mht = MHTfillVertexTableRes(mris, NULL, CURRENT_VERTICES, 8.0) ;
MRISclearMarks(mris) ;
// build histograms at each vertex
for (x = 0 ; x < mri_parc->width ; x++) {
for (y = 0 ; y < mri_parc->height ; y++) {
for (z = 0 ; z < mri_parc->depth ; z++) {
if (x == Gx && y == Gy && z == Gz)
DiagBreak() ;
l = (int)MRIgetVoxVal(mri_parc, x, y, z, 0) ;
if (l == 0)
continue ;
MRIvoxelToSurfaceRAS(mri_parc, x, y, z, &xs, &ys, &zs) ;
v = MHTfindClosestVertexInTable(mht, mris, xs, ys, zs, 0) ;
if (v == NULL)
continue ;
if (sqrt(SQR(v->x-xs) + SQR(v->y-ys) + SQR(v->z-zs)) > 3)
continue ;
MRIsetVoxVal(mri_parc_unused, x, y, z, 0, 0) ;
vno = v-mris->vertices ;
if (vno == Gdiag_no)
{
printf("v %d: sampling from (%d, %d, %d) - %d\n",
vno, x, y, z, l);
DiagBreak() ;
}
label_histo[vno][l-min_label]++ ;
}
}
}
MRIwrite(mri_parc_unused, "pu.mgz") ;
for (vno = 0 ; vno < mris->nvertices ; vno++) {
if (vno == Gdiag_no)
DiagBreak() ;
max_l = 0 ;
max_count = 0 ;
for (l = 0 ; l < nlabels ; l++) {
if (label_histo[vno][l] > max_count) {
max_count = label_histo[vno][l] ;
max_l = l+min_label ;
}
}
v = &mris->vertices[vno] ;
v->val = v->annotation = max_l ;
if (max_count > 0)
v->marked = 1 ;
}
for (vno = 0 ; vno < mris->nvertices ; vno++) {
v = &mris->vertices[vno] ;
if (vno == Gdiag_no)
DiagBreak() ;
if (v->marked)
continue ; // found something here
for (d = 0 ; d <= 2 ; d += 0.25) {
xs = v->x + d*v->nx;
ys = v->y + d*v->ny;
zs = v->z + d*v->nz;
MRIsurfaceRASToVoxel(mri_parc, xs, ys, zs, &xv, &yv, &zv);
MRIsampleVolumeType(mri_parc, xv, yv, zv, &val, SAMPLE_NEAREST) ;
l = (int)nint(val) ;
if (l > 0) {
v->val = v->annotation = l ;
break ;
}
}
}
MHTfree(&mht) ;
for (vno = 0 ; vno < mris->nvertices ; vno++)
free(label_histo[vno]) ;
free(label_histo) ;
MRIfree(&mri_parc_unused) ;
return(NO_ERROR) ;
}
int
main(int argc, char *argv[]) {
char **av ;
int ac, nargs, width, height, depth, x, y, z, xborder, yborder, zborder,
xrborder, yrborder, zrborder ;
char *in_fname, *out_fname ;
MRI *mri_smooth, *mri_grad, *mri_filter_src, *mri_filter_dst, *mri_dst,
*mri_tmp, *mri_blur, *mri_src, *mri_filtered, *mri_direction,
*mri_offset, *mri_up, *mri_polv, *mri_dir, *mri_clip, *mri_full ;
MRI_REGION region, clip_region ;
/* rkt: check for and handle version tag */
nargs = handle_version_option (argc, argv, "$Id: mri_nlfilter.c,v 1.14 2011/03/02 00:04:23 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 < 3)
usage_exit() ;
in_fname = argv[1] ;
out_fname = argv[2] ;
mri_full = mri_src = MRIread(in_fname) ;
if (!mri_src)
ErrorExit(ERROR_NOFILE, "%s: could not read '%s'", Progname, in_fname) ;
if (!FZERO(blur_sigma)) /* allocate a blurring kernel */
{
mri_blur = MRIgaussian1d(blur_sigma, 0) ;
if (!mri_blur)
ErrorExit(ERROR_BADPARM,
"%s: could not allocate blurring kernel with sigma=%2.3f",
Progname, blur_sigma) ;
} else
mri_blur = NULL ;
MRIboundingBox(mri_full, 0, &clip_region) ;
REGIONexpand(&clip_region, &clip_region, (filter_window_size+1)/2) ;
mri_src = MRIextractRegion(mri_full, NULL, &clip_region) ;
width = mri_src->width ;
height = mri_src->height ;
depth = mri_src->depth ;
mri_dst = MRIclone(mri_src, NULL) ;
if (!mri_dst)
ErrorExit(ERROR_NOFILE, "%s: could allocate space for destination image",
Progname) ;
for (z = 0 ; z < depth ; z += region_size) {
for (y = 0 ; y < height ; y += region_size) {
DiagHeartbeat((float)(z*height+y) / (float)(height*(depth-1))) ;
for (x = 0 ; x < width ; x += region_size) {
region.x = x ;
region.y = y ;
region.z = z ;
region.dx = region.dy = region.dz = region_size ;
if (region.x == 142)
DiagBreak() ;
REGIONexpand(®ion, ®ion, (filter_window_size+1)/2) ;
MRIclipRegion(mri_src, ®ion, ®ion) ;
if (region.x == 142)
DiagBreak() ;
/* check for < 0 width regions */
xborder = x-region.x ;
yborder = y-region.y ;
zborder = z-region.z ;
xrborder = MAX(0, (region.dx-xborder) - region_size) ;
yrborder = MAX(0, (region.dy-yborder) - region_size) ;
zrborder = MAX(0, (region.dz-zborder) - region_size) ;
#if 0
if (region.dx < 2*xborder || region.dy<2*yborder||region.dz<2*zborder)
continue ;
#endif
if (DIAG_VERBOSE_ON && (Gdiag & DIAG_SHOW))
fprintf(stderr, "extracting region (%d, %d, %d) --> (%d, %d, %d)...",
region.x,region.y,region.z, region.x+region.dx-1,
region.y+region.dy-1,region.z+region.dz-1) ;
mri_clip = MRIextractRegion(mri_src, NULL, ®ion) ;
if (DIAG_VERBOSE_ON && (Gdiag & DIAG_SHOW))
fprintf(stderr, "done.\nsmoothing region and up-sampling...") ;
if (mri_blur) /* smooth the input image to generate offset field */
mri_smooth = MRIconvolveGaussian(mri_clip, NULL, mri_blur) ;
else
mri_smooth = MRIcopy(mri_clip, NULL) ; /* no smoothing */
if (!mri_smooth)
ErrorExit(ERROR_BADPARM, "%s: image smoothing failed", Progname) ;
/* now up-sample the smoothed image, and compute offset field in
up-sampled domain */
mri_up = MRIupsample2(mri_smooth, NULL) ;
if (!mri_up)
ErrorExit(ERROR_BADPARM, "%s: up sampling failed", Progname) ;
MRIfree(&mri_smooth) ;
if (DIAG_VERBOSE_ON && (Gdiag & DIAG_SHOW))
fprintf(stderr, "done.\n") ;
mri_smooth = mri_up ;
mri_grad = MRIsobel(mri_smooth, NULL, NULL) ;
mri_dir = MRIclone(mri_smooth, NULL) ;
MRIfree(&mri_smooth) ;
if (DIAG_VERBOSE_ON && (Gdiag & DIAG_SHOW))
fprintf(stderr, "computing direction map...") ;
mri_direction =
MRIoffsetDirection(mri_grad, offset_window_size, NULL, mri_dir) ;
if (DIAG_VERBOSE_ON && (Gdiag & DIAG_SHOW))
fprintf(stderr, "computing offset magnitudes...") ;
MRIfree(&mri_grad) ;
mri_offset =
MRIoffsetMagnitude(mri_direction, NULL, offset_search_len);
MRIfree(&mri_direction) ;
if (!mri_offset)
ErrorExit(ERROR_NOMEMORY,
"%s: offset calculation failed", Progname) ;
if (DIAG_VERBOSE_ON && (Gdiag & DIAG_SHOW))
fprintf(stderr, "done.\nfiltering image...") ;
mri_filter_src = MRIupsample2(mri_clip, NULL) ;
MRIfree(&mri_clip) ;
switch (filter_type) {
case FILTER_CPOLV_MEDIAN:
mri_polv = MRIplaneOfLeastVarianceNormal(mri_filter_src,NULL,5);
mri_filter_dst =
MRIpolvMedian(mri_filter_src, NULL, mri_polv,filter_window_size);
MRIfree(&mri_polv) ;
break ;
case FILTER_GAUSSIAN:
mri_filter_dst =
MRIconvolveGaussian(mri_filter_src, NULL, mri_gaussian) ;
if (!mri_filter_dst)
ErrorExit(ERROR_NOMEMORY,
"%s: could not allocate temporary buffer space",Progname);
break ;
case FILTER_MEDIAN:
mri_filter_dst = MRImedian(mri_filter_src,NULL,filter_window_size, NULL);
if (!mri_filter_dst)
ErrorExit(ERROR_NOMEMORY,
"%s: could not allocate temporary buffer space",Progname);
break ;
case FILTER_MEAN:
mri_filter_dst = MRImean(mri_filter_src, NULL, filter_window_size) ;
if (!mri_filter_dst)
ErrorExit(ERROR_NOMEMORY,
"%s: could not allocate temporary buffer space",Progname);
break ;
case FILTER_MINMAX:
mri_filter_dst =
MRIminmax(mri_filter_src, NULL, mri_dir, filter_window_size) ;
if (!mri_filter_dst)
ErrorExit(ERROR_NOMEMORY,
"%s: could not allocate space for filtered image",
Progname) ;
break ;
default:
mri_filter_dst = MRIcopy(mri_filter_src, NULL) ; /* no filtering */
break ;
}
MRIfree(&mri_dir) ;
MRIfree(&mri_filter_src) ;
if (no_offset)
{
mri_filtered = MRIcopy(mri_filter_dst, NULL) ;
}
else
{
if (DIAG_VERBOSE_ON && (Gdiag & DIAG_SHOW))
fprintf(stderr, "applying offset field...") ;
if (Gdiag & DIAG_WRITE)
MRIwrite(mri_filter_dst, "minmax.mgz") ;
mri_filtered = MRIapplyOffset(mri_filter_dst, NULL, mri_offset) ;
if (!mri_filtered)
ErrorExit(ERROR_NOMEMORY,
"%s: could not allocate filtered image", Progname) ;
if (DIAG_VERBOSE_ON && (Gdiag & DIAG_SHOW))
fprintf(stderr, "done.\n") ;
if (region.x == 142)
DiagBreak() ;
MRIfree(&mri_offset) ;
}
MRIfree(&mri_filter_dst) ;
if (Gdiag & DIAG_WRITE)
MRIwrite(mri_filtered, "upfilt.mgz") ;
mri_tmp = MRIdownsample2(mri_filtered, NULL) ;
MRIfree(&mri_filtered) ;
if (Gdiag & DIAG_WRITE)
MRIwrite(mri_tmp, "downfilt.mgz") ;
region.x += xborder ;
region.y += yborder ;
region.z += zborder ;
#if 0
region.dx -=2*xborder;
region.dy-= 2*yborder;
region.dz -= 2 * zborder;
#else
region.dx -= xrborder + xborder;
region.dy -= yrborder + yborder;
region.dz -= zrborder + zborder;
#endif
if (region.dx <= 0 || region.dy <= 0 || region.dz <= 0) {
fprintf(stderr, "invalid region: (%d,%d,%d) --> (%d,%d,%d)\n",
region.x,region.y,region.z,region.dx,region.dy,region.dz);
} else
MRIextractIntoRegion(mri_tmp,mri_dst,xborder,yborder,zborder,®ion);
MRIfree(&mri_tmp);
}
}
}
MRIextractIntoRegion(mri_dst,mri_full, 0, 0, 0, &clip_region);
MRIfree(&mri_dst) ;
if (DIAG_VERBOSE_ON && (Gdiag & DIAG_SHOW))
fprintf(stderr, "writing output image %s...", out_fname) ;
MRIwrite(mri_full, out_fname) ;
MRIfree(&mri_full) ;
if (DIAG_VERBOSE_ON && (Gdiag & DIAG_SHOW))
fprintf(stderr, "done.\n") ;
exit(0) ;
return(0) ; /* for ansi */
}
int
main(int argc, char *argv[])
{
char **av, *out_name ;
int ac, nargs ;
int msec, minutes, seconds ;
struct timeb start ;
GCA_MORPH *gcam ;
MRI *mri = NULL ;
MATRIX *m;
/* rkt: check for and handle version tag */
nargs = handle_version_option (argc, argv, "$Id: mri_warp_convert.c,v 1.1 2012/02/13 23:05:52 jonp Exp $", "$Name: $");
if (nargs && argc - nargs == 1)
{
exit (0);
}
argc -= nargs;
Progname = basename(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) ;
}
// mri_convert expects a relative warp
fprintf(stdout, "[%s]: reading warp file '%s'\n", Progname, argv[1]);
fprintf(stdout, "assuming RELATIVE warp convention\n");
// TODO: add support for absolute warps as well, add option to specify convention
mri = MRIread(argv[1]) ;
if (mri == NULL)
ErrorExit(ERROR_NOFILE, "%s: could not read warp volume %s\n", Progname,argv[1]) ;
m = MRIgetVoxelToRasXform(mri) ;
// NOTE: this assumes a standard siemens image orientation in which
// case a neurological orientation means that the first frame is
// flipped
if ( MatrixDeterminant(m) > 0 )
{
fprintf(stdout, "non-negative Jacobian determinant -- converting to radiological ordering\n");
}
{
// 2012/feb/08: tested with anisotropic voxel sizes
MRI *mri2 = NULL ;
int c=0,r=0,s=0;
float v;
mri2 = MRIcopy(mri,NULL);
for(c=0; c < mri->width; c++)
{
for(r=0; r < mri->height; r++)
{
for(s=0; s < mri->depth; s++)
{
// only flip first frame (by negating relative shifts)
v = MRIgetVoxVal(mri, c,r,s,0) / mri->xsize;
if ( MatrixDeterminant(m) > 0 )
MRIsetVoxVal( mri2,c,r,s,0,-v);
else
MRIsetVoxVal( mri2,c,r,s,0, v);
v = MRIgetVoxVal(mri, c,r,s,1) / mri->ysize;
MRIsetVoxVal( mri2,c,r,s,1, v);
v = MRIgetVoxVal(mri, c,r,s,2) / mri->zsize;
MRIsetVoxVal( mri2,c,r,s,2, v);
}
}
}
MRIfree(&mri);
mri = mri2;
}
MatrixFree(&m) ;
// this does all the work! (gcamorph.c)
gcam = GCAMalloc(mri->width, mri->height, mri->depth) ;
GCAMinitVolGeom(gcam, mri, mri) ;
// not sure if removing singularities is ever a bad thing
#if 1
GCAMremoveSingularitiesAndReadWarpFromMRI(gcam, mri) ;
#else
GCAMreadWarpFromMRI(gcam, mri) ;
#endif
fprintf(stdout, "[%s]: writing warp file '%s'\n", Progname, argv[2]);
out_name = argv[2] ;
GCAMwrite(gcam, out_name) ;
msec = TimerStop(&start) ;
seconds = nint((float)msec/1000.0f) ;
minutes = seconds / 60 ;
seconds = seconds % 60 ;
fprintf(stderr, "conversion took %d minutes and %d seconds.\n", minutes, seconds) ;
exit(0) ;
return(0) ;
}
MRI *MRInormalizeXH(MRI *mri_src, MRI *mri_dst, MRI *mri_mask) {
/* Normalize the source volume to be zero mean and variance 1*/
/* mri_dst and mri_src can be the same */
int width, height, depth, x, y, z;
float mean, variance, total, tmpval;
if (mri_src->type != MRI_FLOAT) {
printf("Normalization is only applied for float-typed volume \n");
mri_dst = MRIcopy(mri_src, mri_dst);
return (mri_dst);
}
width = mri_src->width ;
height = mri_src->height ;
depth = mri_src->depth ;
if (!mri_dst)
mri_dst = MRIclone(mri_src, NULL) ;
/* compute mean */
mean = 0.0;
total = 0.0;
for (z = 0 ; z < depth ; z++)
for (y = 0 ; y < height ; y++)
for (x = 0 ; x < width ; x++) {
if (!mri_mask) {
mean += MRIFvox(mri_src, x, y, z);
total += 1;
} else {
if (MRIvox(mri_mask, x, y, z) >0) {
mean += MRIFvox(mri_src, x, y, z);
total += 1;
}
}
}
if (total > 0.0)
mean = mean/total;
/* compute variance */
variance = 0.0;
for (z = 0 ; z < depth ; z++)
for (y = 0 ; y < height ; y++)
for (x = 0 ; x < width ; x++) {
if (!mri_mask) {
tmpval = MRIFvox(mri_src, x, y, z) - mean;
variance += tmpval*tmpval;
} else {
if (MRIvox(mri_mask, x, y, z) >0) {
tmpval = MRIFvox(mri_src, x, y, z) - mean;
variance += tmpval*tmpval;
}
}
}
if (total > 0)
variance = sqrt(variance/total);
else
variance = 1;
/* normalization: invert variance first to save time */
variance = 1.0/variance;
for (z = 0 ; z < depth ; z++)
for (y = 0 ; y < height ; y++)
for (x = 0 ; x < width ; x++) {
tmpval = MRIFvox(mri_src, x, y, z) - mean;
MRIFvox(mri_dst, x, y, z) = tmpval*variance;
}
return (mri_dst);
}
int
main(int argc, char *argv[]) {
char **av, *in_fname;
int ac, nargs, i, j, x, y, z, width, height, depth;
MRI *mri_flash[MAX_IMAGES], *mri_label, *mri_mask, *mri_tmp;
int msec, minutes, seconds, nvolumes, nvolumes_total ;
struct timeb start ;
float max_val, min_val, value;
float *LDAmean1, *LDAmean2, *LDAweight;
int label;
double sum_white, sum_gray;
int count_white, count_gray;
/* rkt: check for and handle version tag */
nargs = handle_version_option (argc, argv, "$Id: mri_ms_LDA.c,v 1.4 2011/03/02 00:04:23 nicks 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 < 2)
usage_exit(1) ;
printf("command line parsing finished\n");
if (have_weight == 0 && ldaflag == 0) {
printf("Use -lda option to specify two class labels to optimize CNR on \n");
usage_exit(0);
}
if (have_weight == 0 && label_fname == NULL) {
printf("Use -label option to specify file for segmentation \n");
usage_exit(0);
}
if (have_weight == 1 && weight_fname == NULL) {
printf("Use -weight option to specify file for input LDA weights \n") ;
usage_exit(0);
}
if (have_weight == 1 && synth_fname == NULL) {
printf("Use -synth option to specify file for output synthesized volume \n") ;
usage_exit(0);
}
//////////////////////////////////////////////////////////////////////////////////
/*** Read in the input multi-echo volumes ***/
nvolumes = 0 ;
for (i = 1 ; i < argc; i++) {
in_fname = argv[i] ;
printf("reading %s...\n", in_fname) ;
mri_flash[nvolumes] = MRIread(in_fname) ;
if (mri_flash[nvolumes] == NULL)
ErrorExit(ERROR_NOFILE, "%s: could not read volume %s",
Progname, in_fname) ;
/* conform will convert all data to UCHAR, which will reduce data resolution*/
printf("%s read in. \n", in_fname) ;
if (conform) {
printf("embedding and interpolating volume\n") ;
mri_tmp = MRIconform(mri_flash[nvolumes]) ;
MRIfree(&mri_flash[nvolumes]);
mri_flash[nvolumes] = mri_tmp ;
}
/* Change all volumes to float type for convenience */
if (mri_flash[nvolumes]->type != MRI_FLOAT) {
printf("Volume %d type is %d\n", nvolumes+1, mri_flash[nvolumes]->type);
printf("Change data to float type \n");
mri_tmp = MRIchangeType(mri_flash[nvolumes], MRI_FLOAT, 0, 1.0, 1);
MRIfree(&mri_flash[nvolumes]);
mri_flash[nvolumes] = mri_tmp; //swap
}
nvolumes++ ;
}
printf("All data read in\n");
///////////////////////////////////////////////////////////////////////////
nvolumes_total = nvolumes ; /* all volumes read in */
for (i = 0 ; i < nvolumes ; i++) {
for (j = i+1 ; j < nvolumes ; j++) {
if ((mri_flash[i]->width != mri_flash[j]->width) ||
(mri_flash[i]->height != mri_flash[j]->height) ||
(mri_flash[i]->depth != mri_flash[j]->depth))
ErrorExit(ERROR_BADPARM, "%s:\nvolumes %d (type %d) and %d (type %d) don't match (%d x %d x %d) vs (%d x %d x %d)\n",
Progname, i, mri_flash[i]->type, j, mri_flash[j]->type, mri_flash[i]->width,
mri_flash[i]->height, mri_flash[i]->depth,
mri_flash[j]->width, mri_flash[j]->height, mri_flash[j]->depth) ;
}
}
width = mri_flash[0]->width;
height = mri_flash[0]->height;
depth = mri_flash[0]->depth;
if (label_fname != NULL) {
mri_label = MRIread(label_fname);
if (!mri_label)
ErrorExit(ERROR_NOFILE, "%s: could not read input volume %s\n",
Progname, label_fname);
if ((mri_label->width != mri_flash[0]->width) ||
(mri_label->height != mri_flash[0]->height) ||
(mri_label->depth != mri_flash[0]->depth))
ErrorExit(ERROR_BADPARM, "%s: label volume size doesn't match data volumes\n", Progname);
/* if(mri_label->type != MRI_UCHAR)
ErrorExit(ERROR_BADPARM, "%s: label volume is not UCHAR type \n", Progname); */
}
if (mask_fname != NULL) {
mri_mask = MRIread(mask_fname);
if (!mri_mask)
ErrorExit(ERROR_NOFILE, "%s: could not read input volume %s\n",
Progname, mask_fname);
if ((mri_mask->width != mri_flash[0]->width) ||
(mri_mask->height != mri_flash[0]->height) ||
(mri_mask->depth != mri_flash[0]->depth))
ErrorExit(ERROR_BADPARM, "%s: mask volume size doesn't macth data volumes\n", Progname);
if (mri_mask->type != MRI_UCHAR)
ErrorExit(ERROR_BADPARM, "%s: mask volume is not UCHAR type \n", Progname);
} else {
if (have_weight == 1)
noise_threshold = - 1e20;
printf("Threshold input vol1 at %g to create mask \n", noise_threshold);
printf("this threshold is useful to process skull-stripped data \n");
mri_mask = MRIalloc(mri_flash[0]->width, mri_flash[0]->height, mri_flash[0]->depth, MRI_UCHAR);
MRIcopyHeader(mri_flash[0], mri_mask);
/* Simply set mask to be 1 everywhere */
for (z=0; z < depth; z++)
for (y=0; y< height; y++)
for (x=0; x < width; x++) {
if ((float)MRIgetVoxVal(mri_flash[0], x, y,z,0) < noise_threshold)
MRIvox(mri_mask, x, y,z) = 0;
else
MRIvox(mri_mask, x, y,z) = 1;
}
}
/* Normalize input volumes */
if (normflag) {
printf("Normalize input volumes to zero mean, variance 1\n");
for (i=0; i <nvolumes_total; i++) {
mri_flash[i] = MRInormalizeXH(mri_flash[i], mri_flash[i], mri_mask);
}
printf("Normalization done.\n");
}
if (0) {
printf("Using both hemi-sphere by changing rh-labels\n");
for (z=0; z < depth; z++)
for (y=0; y< height; y++)
for (x=0; x < width; x++) {
label = (int)MRIgetVoxVal(mri_label, x, y,z,0);
if (label == 41) /* white matter */
MRIsetVoxVal(mri_label, x, y, z, 0, 2);
else if (label == 42) /* gm */
MRIsetVoxVal(mri_label, x, y, z, 0, 3);
}
}
if (debug_flag && window_flag) {
/* Limit LDA to a local window */
printf("Local window size = %d\n", window_size);
window_size /= 2;
for (z=0; z < depth; z++)
for (y=0; y< height; y++)
for (x=0; x < width; x++) {
if (MRIvox(mri_mask, x, y,z) == 0) continue;
if (z < (Gz - window_size) || z >(Gz + window_size)
|| y <(Gy - window_size) || y > (Gy + window_size)
|| x < (Gx - window_size) || x > (Gx + window_size))
MRIvox(mri_mask, x, y,z) = 0;
}
}
LDAmean1 = (float *)malloc(nvolumes_total*sizeof(float));
LDAmean2 = (float *)malloc(nvolumes_total*sizeof(float));
LDAweight = (float *)malloc(nvolumes_total*sizeof(float));
if (have_weight) {
printf("Read in LDA weights from weight-file\n");
input_weights_to_file(LDAweight, weight_fname, nvolumes_total);
} else { /* compute LDA weights */
printf("Compute LDA weights to maximize CNR for region %d and region %d\n", class1, class2);
/* Compute class means */
update_LDAmeans(mri_flash, mri_label, mri_mask, LDAmean1, LDAmean2, nvolumes_total, class1, class2);
printf("class means computed \n");
/* Compute Fisher's LDA weights */
computeLDAweights(LDAweight, mri_flash, mri_label, mri_mask, LDAmean1, LDAmean2, nvolumes_total, class1, class2);
if (weight_fname != NULL) {
output_weights_to_file(LDAweight, weight_fname, nvolumes_total);
}
}
printf("LDA weights are: \n");
for (i=0; i < nvolumes_total; i++) {
printf("%g ", LDAweight[i]);
}
printf("\n");
if (synth_fname != NULL) {
/* linear projection of input volumes to a 1D volume */
min_val = 10000.0;
max_val = -10000.0;
for (z=0; z < depth; z++)
for (y=0; y< height; y++)
for (x=0; x < width; x++) {
if (whole_volume == 0 && MRIvox(mri_mask, x, y, z) == 0) continue;
value = 0.0;
for (i=0; i < nvolumes_total; i++) {
value += MRIFvox(mri_flash[i], x, y, z)*LDAweight[i];
}
// if(value < 0) value = 0;
if (max_val < value) max_val = value;
if (min_val > value) min_val = value;
/* Borrow mri_flash[0] to store the float values first */
MRIFvox(mri_flash[0], x, y, z) = value;
}
printf("max_val = %g, min_val = %g \n", max_val, min_val);
/* Check to make sure class1 has higher intensity than class2 */
if (have_weight == 0) {
sum_white =0;
count_white = 0;
sum_gray = 0;
count_gray = 0;
for (z=0; z < depth; z++) {
if (count_white > 300 && count_gray > 300) break;
for (y=0; y< height; y++) {
for (x=0; x < width; x++) {
if ((int)MRIgetVoxVal(mri_label, x, y,z,0) == class1) {
sum_white += MRIFvox(mri_flash[0], x, y, z);
count_white += 1;
} else if ((int)MRIgetVoxVal(mri_label, x, y,z,0) == class2) {
sum_gray += MRIFvox(mri_flash[0], x, y, z);
count_gray += 1;
}
}
}
}
if (count_white > 1 && count_gray > 1) {
if (sum_white *count_gray < sum_gray*count_white) {
for (z=0; z < depth; z++)
for (y=0; y< height; y++)
for (x=0; x < width; x++) {
if (whole_volume == 0 && MRIvox(mri_mask, x, y, z) == 0) continue;
value = MRIFvox(mri_flash[0], x, y, z);
MRIFvox(mri_flash[0], x, y, z) = max_val - value;
}
max_val = max_val - min_val;
min_val = 0;
}
}
}
/* The following is copied to be consistent with mri_synthesize */
/* Don't know why add min_val, minus should make more sense */
for (z=0; z < depth; z++)
for (y=0; y< height; y++)
for (x=0; x < width; x++) {
if (whole_volume == 0 && MRIvox(mri_mask, x, y, z) == 0) {
MRIFvox(mri_flash[0], x, y, z) = 0; /*background always set to 0 */
continue;
}
/* Borrow mri_flash[0] to store the float values first */
if (shift_value > 0) {
value = MRIFvox(mri_flash[0], x, y, z) + shift_value;
if (value < 0) value = 0;
MRIFvox(mri_flash[0], x, y, z) = value;
} else if (mask_fname != NULL)
MRIFvox(mri_flash[0], x, y, z) -= min_val;
}
MRIfree(&mri_mask);
if (mri_flash[0]->type == out_type) {
mri_mask = MRIcopy(mri_flash[0], mri_mask);
} else {
mri_mask = MRIchangeType(mri_flash[0], out_type, 0.1, 0.99, 0);
}
/* Scale output to [0, 255] */
if (0) {
for (z=0; z < depth; z++)
for (y=0; y< height; y++)
for (x=0; x < width; x++) {
if (whole_volume == 0 && MRIvox(mri_mask, x, y, z) == 0) continue;
value = (MRIFvox(mri_flash[0], x, y, z) - min_val)*255.0/(max_val - min_val) + 0.5; /* +0.5 for round-off */
if (value > 255.0) value = 255.0;
if (value < 0) value = 0;
/* Borrow mri_flash[0] to store the float values first */
MRIvox(mri_mask, x, y, z) = (BUFTYPE) value;
}
}
/* Output synthesized volume */
MRIwrite(mri_mask, synth_fname);
}
free(LDAmean1);
free(LDAmean2);
free(LDAweight);
msec = TimerStop(&start) ;
seconds = nint((float)msec/1000.0f) ;
minutes = seconds / 60 ;
seconds = seconds % 60 ;
printf("LDA took %d minutes and %d seconds.\n", minutes, seconds) ;
MRIfree(&mri_mask);
if (label_fname)
MRIfree(&mri_label);
for (i=0; i < nvolumes_total; i++) {
MRIfree(&mri_flash[i]);
}
exit(0);
}
/* Actually no need to modify this function, since I will only use the float
* type here, so the roundoff I added will never take effect.
* What I need to modify is the MRIchangeType function!
*/
MRI *MRIlinearTransformInterpBSpline(MRI *mri_src, MRI *mri_dst, MATRIX *mA,
int splinedegree)
{
int y1, y2, y3, width, height, depth ;
VECTOR *v_X, *v_Y ; /* original and transformed coordinate systems */
MATRIX *mAinv ; /* inverse of mA */
double val, x1, x2, x3 ;
MRI *mri_Bcoeff;
mAinv = MatrixInverse(mA, NULL) ; /* will sample from dst back to src */
if (!mAinv)
ErrorReturn(NULL, (ERROR_BADPARM,
"MRIlinearTransformBSpline: xform is singular")) ;
if (!mri_dst) mri_dst = MRIclone(mri_src, NULL) ;
else MRIclear(mri_dst) ; /* set all values to zero */
if (mri_src->type != MRI_FLOAT)
mri_Bcoeff = MRIchangeType(mri_src, MRI_FLOAT, 0, 1.0, 1);
else
mri_Bcoeff = MRIcopy(mri_src, NULL);
/* convert between a representation based on image samples */
/* and a representation based on image B-spline coefficients */
if (SamplesToCoefficients(mri_Bcoeff, splinedegree))
{
ErrorReturn(NULL, (ERROR_BADPARM, "Change of basis failed\n"));
}
printf("Direct B-spline Transform Finished. \n");
width = mri_src->width ;
height = mri_src->height ;
depth = mri_src->depth ;
v_X = VectorAlloc(4, MATRIX_REAL) ; /* input (src) coordinates */
v_Y = VectorAlloc(4, MATRIX_REAL) ; /* transformed (dst) coordinates */
v_Y->rptr[4][1] = 1.0f ;
for (y3 = 0 ; y3 < mri_dst->depth ; y3++)
{
V3_Z(v_Y) = y3 ;
for (y2 = 0 ; y2 < mri_dst->height ; y2++)
{
V3_Y(v_Y) = y2 ;
for (y1 = 0 ; y1 < mri_dst->width ; y1++)
{
V3_X(v_Y) = y1 ;
MatrixMultiply(mAinv, v_Y, v_X) ;
x1 = V3_X(v_X) ;
x2 = V3_Y(v_X) ;
x3 = V3_Z(v_X) ;
if (x1 <= -0.5 || x1 >= (width - 0.5) || x2 <= -0.5 ||
x2 >= (height - 0.5) || x3 <= -0.5 || x3 >= (depth-0.5))
val = 0.0;
else
val = InterpolatedValue(mri_Bcoeff, x1, x2, x3, splinedegree);
switch (mri_dst->type)
{
case MRI_UCHAR:
if (val <-0.5) val = -0.5;
if (val > 254.5) val = 254.5;
MRIvox(mri_dst,y1,y2,y3) = (BUFTYPE)nint(val+0.5) ;
break ;
case MRI_SHORT:
MRISvox(mri_dst,y1,y2,y3) = (short)nint(val+0.5) ;
break ;
case MRI_FLOAT:
MRIFvox(mri_dst,y1,y2,y3) = (float)(val) ;
break ;
case MRI_INT:
MRIIvox(mri_dst,y1,y2,y3) = nint(val+0.5) ;
break ;
default:
ErrorReturn(NULL,
(ERROR_UNSUPPORTED,
"MRIlinearTransformBSpline: unsupported dst type %d",
mri_dst->type)) ;
break ;
}
}
}
}
MatrixFree(&v_X) ;
MatrixFree(&mAinv) ;
MatrixFree(&v_Y) ;
MRIfree(&mri_Bcoeff);
return(mri_dst) ;
}
int
main(int argc, char *argv[])
{
char **av, *source_fname, *target_fname, *out_fname, fname[STRLEN] ;
int ac, nargs, new_transform = 0, pad ;
MRI *mri_target, *mri_source, *mri_orig_source ;
MRI_REGION box ;
struct timeb start ;
int msec, minutes, seconds ;
GCA_MORPH *gcam ;
MATRIX *m_L/*, *m_I*/ ;
LTA *lta ;
/* initialize the morph params */
memset(&mp, 0, sizeof(GCA_MORPH_PARMS));
/* for nonlinear morph */
mp.l_jacobian = 1 ;
mp.min_sigma = 0.4 ;
mp.l_distance = 0 ;
mp.l_log_likelihood = .025 ;
mp.dt = 0.005 ;
mp.noneg = True ;
mp.exp_k = 20 ;
mp.diag_write_snapshots = 1 ;
mp.momentum = 0.9 ;
if (FZERO(mp.l_smoothness))
mp.l_smoothness = 2 ;
mp.sigma = 8 ;
mp.relabel_avgs = -1 ;
mp.navgs = 256 ;
mp.levels = 6 ;
mp.integration_type = GCAM_INTEGRATE_BOTH ;
mp.nsmall = 1 ;
mp.reset_avgs = -1 ;
mp.npasses = 3 ;
mp.regrid = regrid? True : False ;
mp.tol = 0.1 ;
mp.niterations = 1000 ;
TimerStart(&start) ;
setRandomSeed(-1L) ;
DiagInit(NULL, NULL, NULL) ;
ErrorInit(NULL, NULL, NULL) ;
Progname = argv[0] ;
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(1) ;
source_fname = argv[1] ;
target_fname = argv[2] ;
out_fname = argv[3] ;
FileNameOnly(out_fname, fname) ;
FileNameRemoveExtension(fname, fname) ;
strcpy(mp.base_name, fname) ;
mri_source = MRIread(source_fname) ;
if (!mri_source)
ErrorExit(ERROR_NOFILE, "%s: could not read source label volume %s",
Progname, source_fname) ;
if (mri_source->type == MRI_INT)
{
MRI *mri_tmp = MRIchangeType(mri_source, MRI_FLOAT, 0, 1, 1) ;
MRIfree(&mri_source); mri_source = mri_tmp ;
}
mri_target = MRIread(target_fname) ;
if (!mri_target)
ErrorExit(ERROR_NOFILE, "%s: could not read target label volume %s",
Progname, target_fname) ;
if (mri_target->type == MRI_INT)
{
MRI *mri_tmp = MRIchangeType(mri_target, MRI_FLOAT, 0, 1, 1) ;
MRIfree(&mri_target); mri_target = mri_tmp ;
}
if (erosions > 0)
{
int n ;
for (n = 0 ; n < erosions ; n++)
{
MRIerodeZero(mri_target, mri_target) ;
MRIerodeZero(mri_source, mri_source) ;
}
}
if (scale_values > 0)
{
MRIscalarMul(mri_source, mri_source, scale_values) ;
MRIscalarMul(mri_target, mri_target, scale_values) ;
}
if (transform && transform->type == MORPH_3D_TYPE)
TransformRas2Vox(transform, mri_source,NULL) ;
if (use_aseg == 0)
{
if (match_peak_intensity_ratio)
MRImatchIntensityRatio(mri_source, mri_target, mri_source, .8, 1.2,
100, 125) ;
else if (match_mean_intensity)
MRImatchMeanIntensity(mri_source, mri_target, mri_source) ;
MRIboundingBox(mri_source, 0, &box) ;
pad = (int)ceil(PADVOX *
MAX(mri_target->xsize,MAX(mri_target->ysize,mri_target->zsize)) /
MIN(mri_source->xsize,MIN(mri_source->ysize,mri_source->zsize)));
#if 0
{ MRI *mri_tmp ;
if (pad < 1)
pad = 1 ;
printf("padding source with %d voxels...\n", pad) ;
mri_tmp = MRIextractRegionAndPad(mri_source, NULL, &box, pad) ;
if ((Gdiag & DIAG_WRITE) && DIAG_VERBOSE_ON)
MRIwrite(mri_tmp, "t.mgz") ;
MRIfree(&mri_source) ;
mri_source = mri_tmp ;
}
#endif
}
mri_orig_source = MRIcopy(mri_source, NULL) ;
mp.max_grad = 0.3*mri_source->xsize ;
if (transform == NULL)
transform = TransformAlloc(LINEAR_VOXEL_TO_VOXEL, NULL) ;
if (transform->type != MORPH_3D_TYPE) // initializing m3d from a linear transform
{
new_transform = 1 ;
lta = ((LTA *)(transform->xform)) ;
if (lta->type != LINEAR_VOX_TO_VOX)
{
printf("converting ras xform to voxel xform\n") ;
m_L = MRIrasXformToVoxelXform(mri_source, mri_target, lta->xforms[0].m_L, NULL) ;
MatrixFree(<a->xforms[0].m_L) ;
lta->type = LINEAR_VOX_TO_VOX ;
}
else
{
printf("using voxel xform\n") ;
m_L = lta->xforms[0].m_L ;
}
#if 0
if (Gsx >= 0) // update debugging coords
{
VECTOR *v1, *v2 ;
v1 = VectorAlloc(4, MATRIX_REAL) ;
Gsx -= (box.x-pad) ;
Gsy -= (box.y-pad) ;
Gsz -= (box.z-pad) ;
V3_X(v1) = Gsx ; V3_Y(v1) = Gsy ; V3_Z(v1) = Gsz ;
VECTOR_ELT(v1,4) = 1.0 ;
v2 = MatrixMultiply(m_L, v1, NULL) ;
Gsx = nint(V3_X(v2)) ; Gsy = nint(V3_Y(v2)) ; Gsz = nint(V3_Z(v2)) ;
MatrixFree(&v2) ; MatrixFree(&v1) ;
printf("mapping by transform (%d, %d, %d) --> (%d, %d, %d) for rgb writing\n",
Gx, Gy, Gz, Gsx, Gsy, Gsz) ;
}
#endif
if (Gdiag & DIAG_WRITE && DIAG_VERBOSE_ON)
write_snapshot(mri_target, mri_source, m_L, &mp, 0, 1, "linear_init");
lta->xforms[0].m_L = m_L ;
printf("initializing GCAM with vox->vox matrix:\n") ;
MatrixPrint(stdout, m_L) ;
gcam = GCAMcreateFromIntensityImage(mri_source, mri_target, transform) ;
#if 0
gcam->gca = gcaAllocMax(1, 1, 1,
mri_target->width, mri_target->height,
mri_target->depth,
0, 0) ;
#endif
GCAMinitVolGeom(gcam, mri_source, mri_target) ;
if (use_aseg)
{
if (ribbon_name)
{
char fname[STRLEN], path[STRLEN], *str, *hemi ;
int h, s, label ;
MRI_SURFACE *mris_white, *mris_pial ;
MRI *mri ;
for (s = 0 ; s <= 1 ; s++) // source and target
{
if (s == 0)
{
str = source_surf ;
mri = mri_source ;
FileNamePath(mri->fname, path) ;
strcat(path, "/../surf") ;
}
else
{
mri = mri_target ;
FileNamePath(mri->fname, path) ;
strcat(path, "/../elastic") ;
str = target_surf ;
}
// sorry - these values come from FreeSurferColorLUT.txt
MRIreplaceValueRange(mri, mri, 1000, 1034, Left_Cerebral_Cortex) ;
MRIreplaceValueRange(mri, mri, 1100, 1180, Left_Cerebral_Cortex) ;
MRIreplaceValueRange(mri, mri, 2000, 2034, Right_Cerebral_Cortex) ;
MRIreplaceValueRange(mri, mri, 2100, 2180, Right_Cerebral_Cortex) ;
for (h = LEFT_HEMISPHERE ; h <= RIGHT_HEMISPHERE ; h++)
{
if (h == LEFT_HEMISPHERE)
{
hemi = "lh" ;
label = Left_Cerebral_Cortex ;
}
else
{
label = Right_Cerebral_Cortex ;
hemi = "rh" ;
}
sprintf(fname, "%s/%s%s.white", path, hemi, str) ;
mris_white = MRISread(fname) ;
if (mris_white == NULL)
ErrorExit(ERROR_NOFILE, "%s: could not read surface %s", Progname, fname) ;
MRISsaveVertexPositions(mris_white, WHITE_VERTICES) ;
sprintf(fname, "%s/%s%s.pial", path, hemi, str) ;
mris_pial = MRISread(fname) ;
if (mris_pial == NULL)
ErrorExit(ERROR_NOFILE, "%s: could not read surface %s", Progname, fname) ;
MRISsaveVertexPositions(mris_pial, PIAL_VERTICES) ;
if (Gdiag & DIAG_WRITE && DIAG_VERBOSE_ON)
{
sprintf(fname, "sb.mgz") ;
MRIwrite(mri_source, fname) ;
sprintf(fname, "tb.mgz") ;
MRIwrite(mri_target, fname) ;
}
insert_ribbon_into_aseg(mri, mri, mris_white, mris_pial, h) ;
if (Gdiag & DIAG_WRITE && DIAG_VERBOSE_ON)
{
sprintf(fname, "sa.mgz") ;
MRIwrite(mri_source, fname) ;
sprintf(fname, "ta.mgz") ;
MRIwrite(mri_target, fname) ;
}
MRISfree(&mris_white) ; MRISfree(&mris_pial) ;
}
}
if (Gdiag & DIAG_WRITE && DIAG_VERBOSE_ON)
{
sprintf(fname, "s.mgz") ;
MRIwrite(mri_source, fname) ;
sprintf(fname, "t.mgz") ;
MRIwrite(mri_target, fname) ;
}
}
GCAMinitLabels(gcam, mri_target) ;
GCAMsetVariances(gcam, 1.0) ;
mp.mri_dist_map = create_distance_transforms(mri_source, mri_target, NULL, 40.0, gcam) ;
}
}
else /* use a previously create morph and integrate it some more */
{
printf("using previously create gcam...\n") ;
gcam = (GCA_MORPH *)(transform->xform) ;
GCAMrasToVox(gcam, mri_source) ;
if (use_aseg)
{
GCAMinitLabels(gcam, mri_target) ;
GCAMsetVariances(gcam, 1.0) ;
mp.mri_dist_map = create_distance_transforms(mri_source, mri_target, NULL, 40.0, gcam) ;
}
else
GCAMaddIntensitiesFromImage(gcam, mri_target) ;
}
if (gcam->width != mri_source->width ||
gcam->height != mri_source->height ||
gcam->depth != mri_source->depth)
ErrorExit(ERROR_BADPARM, "%s: warning gcam (%d, %d, %d), doesn't match source vol (%d, %d, %d)",
Progname, gcam->width, gcam->height, gcam->depth,
mri_source->width, mri_source->height, mri_source->depth) ;
mp.mri_diag = mri_source ;
mp.diag_morph_from_atlas = 0 ;
mp.diag_write_snapshots = 1 ;
mp.diag_sample_type = use_aseg ? SAMPLE_NEAREST : SAMPLE_TRILINEAR ;
mp.diag_volume = use_aseg ? GCAM_LABEL : GCAM_MEANS ;
if (renormalize)
GCAMnormalizeIntensities(gcam, mri_target) ;
if (mp.write_iterations != 0)
{
char fname[STRLEN] ;
MRI *mri_gca ;
if (getenv("DONT_COMPRESS"))
sprintf(fname, "%s_target.mgh", mp.base_name) ;
else
sprintf(fname, "%s_target.mgz", mp.base_name) ;
if (mp.diag_morph_from_atlas == 0)
{
printf("writing target volume to %s...\n", fname) ;
MRIwrite(mri_target, fname) ;
sprintf(fname, "%s_target", mp.base_name) ;
MRIwriteImageViews(mri_target, fname, IMAGE_SIZE) ;
}
else
{
if (use_aseg)
mri_gca = GCAMwriteMRI(gcam, NULL, GCAM_LABEL) ;
else
{
mri_gca = MRIclone(mri_source, NULL) ;
GCAMbuildMostLikelyVolume(gcam, mri_gca) ;
}
printf("writing target volume to %s...\n", fname) ;
MRIwrite(mri_gca, fname) ;
sprintf(fname, "%s_target", mp.base_name) ;
MRIwriteImageViews(mri_gca, fname, IMAGE_SIZE) ;
MRIfree(&mri_gca) ;
}
}
if (nozero)
{
printf("disabling zero nodes\n") ;
GCAMignoreZero(gcam, mri_target) ;
}
mp.mri = mri_target ;
if (mp.regrid == True && new_transform == 0)
GCAMregrid(gcam, mri_target, PAD, &mp, &mri_source) ;
mp.write_fname = out_fname ;
GCAMregister(gcam, mri_source, &mp) ; // atlas is target, morph target into register with it
if (apply_transform)
{
MRI *mri_aligned ;
char fname[STRLEN] ;
FileNameRemoveExtension(out_fname, fname) ;
strcat(fname, ".mgz") ;
mri_aligned = GCAMmorphToAtlas(mp.mri, gcam, NULL, -1, mp.diag_sample_type) ;
printf("writing transformed output volume to %s...\n", fname) ;
MRIwrite(mri_aligned, fname) ;
MRIfree(&mri_aligned) ;
}
printf("writing warp vector field to %s\n", out_fname) ;
GCAMvoxToRas(gcam) ;
GCAMwrite(gcam, out_fname) ;
GCAMrasToVox(gcam, mri_source) ;
msec = TimerStop(&start) ;
seconds = nint((float)msec/1000.0f) ;
minutes = seconds / 60 ;
seconds = seconds % 60 ;
printf("registration took %d minutes and %d seconds.\n",
minutes, seconds) ;
exit(0) ;
return(0) ;
}
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) ;
}
static MRI *
MRIremoveWMOutliers(MRI *mri_src, MRI *mri_src_ctrl, MRI *mri_dst_ctrl,
int intensity_below)
{
MRI *mri_bin, *mri_outliers = NULL ;
float max, thresh, val;
HISTOGRAM *histo, *hsmooth ;
int wm_peak, x, y, z, nremoved = 0, whalf = 5, total ;
if (Gdiag & DIAG_WRITE && DIAG_VERBOSE_ON)
{
MRIwrite(mri_src_ctrl, "sc.mgz") ;
}
if (mri_dst_ctrl == NULL)
{
mri_dst_ctrl = MRIcopy(mri_src_ctrl, NULL) ;
}
mri_bin = MRIbinarize(mri_src_ctrl, NULL, 1, 0, CONTROL_MARKED) ;
histo = MRIhistogramLabel(mri_src, mri_bin, 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") ;
}
wm_peak = HISTOfindHighestPeakInRegion(hsmooth, 1, hsmooth->nbins-1) ;
wm_peak = hsmooth->bins[wm_peak] ;
thresh = wm_peak-intensity_below ;
HISTOfree(&histo) ;
HISTOfree(&hsmooth) ;
if (Gdiag & DIAG_WRITE)
{
mri_outliers = MRIclone(mri_dst_ctrl, NULL) ;
}
for (total = 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 (nint(MRIgetVoxVal(mri_dst_ctrl, x, y, z, 0)) == 0)
{
continue ;
}
max = MRImaxInLabelInRegion(mri_src, mri_bin, 1, x, y, z, whalf);
val = MRIgetVoxVal(mri_src, x, y, z, 0) ;
total++ ;
if (val+intensity_below < max && val < thresh)
{
MRIsetVoxVal(mri_dst_ctrl, x, y, z, 0, 0) ;
if (mri_outliers)
{
MRIsetVoxVal(mri_outliers, x, y, z, 0, 128) ;
}
nremoved++ ;
}
}
}
}
printf( "%d control points removed (%2.1f%%)\n",
nremoved, 100.0*(double)nremoved/(double)total) ;
if (mri_outliers)
{
printf( "writing out.mgz outlier volume\n") ;
MRIwrite(mri_outliers, "out.mgz") ;
MRIfree(&mri_outliers) ;
}
if (Gdiag & DIAG_WRITE && DIAG_VERBOSE_ON)
{
MRIwrite(mri_dst_ctrl, "dc.mgz") ;
}
MRIfree(&mri_bin) ;
return(mri_dst_ctrl);
}
static int
remove_surface_outliers(MRI *mri_ctrl_src, MRI *mri_dist, MRI *mri_src,
MRI *mri_ctrl_dst)
{
int x, y, z, wsize ;
HISTOGRAM *h, *hs ;
double mean, sigma, val ;
MRI *mri_outlier = MRIclone(mri_ctrl_src, NULL) ;
mri_ctrl_dst = MRIcopy(mri_ctrl_src, mri_ctrl_dst) ;
wsize = nint(WSIZE_MM/mri_src->xsize) ;
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 ((int)MRIgetVoxVal(mri_ctrl_src, x, y,z, 0) == 0)
{
continue ; // not a control point
}
val = MRIgetVoxVal(mri_src, x, y, z, 0) ;
#if 1
if (val < 80 || val > 130)
{
MRIsetVoxVal(mri_ctrl_dst, x, y, z, 0, 0) ; // remove it as a control point
MRIsetVoxVal(mri_outlier, x, y, z, 0, 1) ; // diagnostics
continue ;
}
#endif
#if 1
if (val > 100 || val < 120)
{
continue ; // not an outlier
}
#endif
h = MRIhistogramVoxel(mri_src, 0, NULL, x, y, z,
wsize, mri_dist, mri_src->xsize) ;
HISTOsoapBubbleZeros(h, h, 100) ;
hs = HISTOsmooth(h, NULL, .5);
HISTOrobustGaussianFit(hs, .5, &mean, &sigma) ;
#define MAX_SIGMA 10 // for intensity normalized images
if (sigma > MAX_SIGMA)
{
sigma = MAX_SIGMA ;
}
if (fabs((mean-val)/sigma) > 2)
{
MRIsetVoxVal(mri_ctrl_dst, x, y, z, 0, 0) ; // remove it as a control point
MRIsetVoxVal(mri_outlier, x, y, z, 0, 1) ; // diagnostics
}
if (Gdiag & DIAG_WRITE)
{
HISTOplot(h, "h.plt") ;
HISTOplot(h, "hs.plt") ;
}
HISTOfree(&h) ;
HISTOfree(&hs) ;
}
if (Gdiag & DIAG_WRITE)
{
MRIwrite(mri_outlier, "o.mgz") ;
}
MRIfree(&mri_outlier) ;
return(NO_ERROR) ;
}
/***-------------------------------------------------------****/
int main(int argc, char *argv[])
{
int nargs, ac, nvolumes;
char **av ;
MRI *outmri0 = NULL, *outmri1 = NULL, *outmri2 = NULL, *outmri3 = NULL, *outmri4 = NULL, *segmri ;
/* rkt: check for and handle version tag */
nargs = handle_version_option (argc, argv, vcid, "$Name: $");
if (nargs && argc - nargs == 1)
exit (0);
Progname = argv[0] ;
argc -= nargs;
ac = argc ;
av = argv ;
for ( ; argc > 1 && ISOPTION(*argv[1]) ; argc--, argv++)
{
nargs = get_option(argc, argv) ;
argc -= nargs ;
argv += nargs ;
}
nvolumes = argc-1 ;
printf("processing %d input files\n", nvolumes) ;
if (nvolumes != 2)
usage_exit() ;
printf("processing %d input files\n", nvolumes) ;
ErrorInit(NULL, NULL, NULL) ;
DiagInit(NULL, NULL, NULL) ;
char *fname = argv[1] ;
printf("processing segmentation input volume %s\n", fname) ;
segmri = MRIread(fname) ;
//int width = segmri->width ;
//int height = segmri->height ;
//int depth = segmri->depth ;
char *outputfname = argv[2] ;
printf("output fname %s\n", outputfname) ;
// GM/WM
outmri0 = MRIcopy(segmri, NULL) ;
// MRIwrite(outmri0, "/tmp/segmri.mgz") ;
correct_gmwm_boundaries(segmri, outmri0);
// MRIwrite(outmri0, "/tmp/outmri0.mgz") ;
// putamen / pallidum
outmri1 = MRIcopy(outmri0, NULL) ;
correct_putamen_pallidum_boundaries(outmri0, outmri1);
// MRIwrite(outmri1, "/tmp/outmri1.mgz") ;
// GM / WM
outmri2 = MRIcopy(outmri1, NULL) ;
correct_gmwm_boundaries_2(outmri1, outmri2);
// MRIwrite(outmri2, "/tmp/outmri2.mgz") ;
// find largest connected components and close holes
outmri3 = MRIcopy(segmri, NULL) ;
MRIvalueFill(outmri3, 0);
correct_largestCC_and_fill_holes(outmri2, outmri3);
// MRIwrite(outmri3, "/tmp/outmri3.mgz") ;
// fill leftover voxels in origiinal mask
outmri4 = MRIcopy(outmri3, NULL) ;
fill_leftover_voxels(segmri, outmri3, outmri4);
// MRIwrite(outmri4, "/tmp/outmri4.mgz") ;
//
outmri0 = MRIcopy(outmri4, NULL) ;
correct_gmwm_boundaries(outmri4, outmri0);
// MRIwrite(outmri0, "/tmp/redone-outmri0.mgz") ;
outmri1 = MRIcopy(outmri0, NULL) ;
correct_putamen_pallidum_boundaries(outmri0, outmri1);
// MRIwrite(outmri1, "/tmp/redone-outmri1.mgz") ;
outmri2 = MRIcopy(outmri1, NULL) ;
correct_gmwm_boundaries_2(outmri1, outmri2);
// MRIwrite(outmri2, "/tmp/redone-outmri2.mgz") ;
//
printf("writing output to %s\n", outputfname) ;
MRIwrite(outmri2, outputfname) ;
MRIfree(&segmri) ;
MRIfree(&outmri0);
MRIfree(&outmri1);
MRIfree(&outmri2);
MRIfree(&outmri3);
MRIfree(&outmri4);
exit(0);
} /* end main() */
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) ;
}
