Ejemplo n.º 1
0
char * MASKAVE_main( PLUGIN_interface * plint )
{
   MCW_idcode * idc ;
   THD_3dim_dataset * input_dset , * mask_dset ;
   int iv , mcount , nvox , ii , sigmait , nvals=0 , doall , ivbot,ivtop ;
   float mask_bot=666.0 , mask_top=-666.0 ;
   double sum=0.0 , sigma=0.0 ;
   float * sumar=NULL , * sigmar=NULL ;
   char * tag , * str , buf[64] , abuf[32],sbuf[32] ;
   byte * mmm ;

   char * cname=NULL ;  /* 06 Aug 1998 */
   int    cdisk=0 ;     /* 22 Aug 2000 */
   int miv=0 ;

   /*--------------------------------------------------------------------*/
   /*----- Check inputs from AFNI to see if they are reasonable-ish -----*/

   if( plint == NULL )
      return "*************************\n"
             "MASKAVE_main:  NULL input\n"
             "*************************"  ;

   /*-- read 1st line --*/

   PLUTO_next_option(plint) ;
   idc        = PLUTO_get_idcode(plint) ;
   input_dset = PLUTO_find_dset(idc) ;
   if( input_dset == NULL )
      return "********************************\n"
             "MASKAVE_main:  bad input dataset\n"
             "********************************"  ;

   iv = (int) PLUTO_get_number(plint) ;
   if( iv >= DSET_NVALS(input_dset) )
      return "**********************************\n"
             "MASKAVE_main:  bad input sub-brick\n"
             "**********************************" ;
   doall = (iv < 0) ;
   if( doall ){
      nvals  = DSET_NVALS(input_dset) ;
      ivbot  = 0 ; ivtop = nvals-1 ;
   } else {
      ivbot = ivtop = iv ;
   }
   DSET_load(input_dset) ;
   if( DSET_ARRAY(input_dset,ivbot) == NULL )
      return "*********************************\n"
             "MASKAVE_main:  can't load dataset\n"
             "*********************************"  ;
   nvox = DSET_NVOX(input_dset) ;

   /*-- read 2nd line --*/

   PLUTO_next_option(plint) ;
   idc       = PLUTO_get_idcode(plint) ;
   mask_dset = PLUTO_find_dset(idc) ;

   if( mask_dset == NULL )
      return "*******************************\n"
             "MASKAVE_main:  bad mask dataset\n"
             "*******************************"  ;

   if( DSET_NVOX(mask_dset) != nvox )
      return "*************************************************************\n"
             "MASKAVE_main: mask input dataset doesn't match source dataset\n"
             "*************************************************************"  ;

   miv = (int) PLUTO_get_number(plint) ;  /* 06 Aug 1998 */
   if( miv >= DSET_NVALS(mask_dset) )
      return "*****************************************************\n"
             "MASKAVE_main: mask dataset sub-brick index is too big\n"
             "*****************************************************"  ;

   DSET_load(mask_dset) ;
   if( DSET_ARRAY(mask_dset,0) == NULL )
      return "**************************************\n"
             "MASKAVE_main:  can't load mask dataset\n"
             "**************************************"  ;

   /*-- read optional lines --*/

   while( (tag=PLUTO_get_optiontag(plint)) != NULL ){

      if( strcmp(tag,"Range") == 0 ){
         mask_bot = PLUTO_get_number(plint) ;
         mask_top = PLUTO_get_number(plint) ;
         continue ;
      }

      if( strcmp(tag,"1D Save") == 0 ){
         char * yn ;
         cname = PLUTO_get_string(plint) ;
         yn    = PLUTO_get_string(plint) ;
         cdisk = (strcmp(yn,yesno_list[0]) == 0) ;
         continue ;
      }

   }

   /*------------------------------------------------------*/
   /*---------- At this point, the inputs are OK ----------*/

   /*-- build a byte mask array --*/

   mmm = (byte *) malloc( sizeof(byte) * nvox ) ;
   if( mmm == NULL )
      return "*** Can't malloc workspace! ***" ;

   /* separate code for each input data type */

   switch( DSET_BRICK_TYPE(mask_dset,miv) ){
      default:
         free(mmm) ;
         return "*** Can't use mask dataset -- illegal data type! ***" ;

      case MRI_short:{
         short mbot , mtop ;
         short * mar = (short *) DSET_ARRAY(mask_dset,miv) ;
         float mfac = DSET_BRICK_FACTOR(mask_dset,miv) ;
         if( mfac == 0.0 ) mfac = 1.0 ;
         if( mask_bot <= mask_top ){
            mbot = SHORTIZE(mask_bot/mfac) ;
            mtop = SHORTIZE(mask_top/mfac) ;
         } else {
            mbot = (short) -MRI_TYPE_maxval[MRI_short] ;
            mtop = (short)  MRI_TYPE_maxval[MRI_short] ;
         }
         for( mcount=0,ii=0 ; ii < nvox ; ii++ )
            if( mar[ii] >= mbot && mar[ii] <= mtop && mar[ii] != 0 ){ mmm[ii] = 1 ; mcount++ ; }
            else                                                    { mmm[ii] = 0 ; }
      }
      break ;

      case MRI_byte:{
         byte mbot , mtop ;
         byte * mar = (byte *) DSET_ARRAY(mask_dset,miv) ;
         float mfac = DSET_BRICK_FACTOR(mask_dset,miv) ;
         if( mfac == 0.0 ) mfac = 1.0 ;
         if( mask_bot <= mask_top ){
            mbot = BYTEIZE(mask_bot/mfac) ;
            mtop = BYTEIZE(mask_top/mfac) ;
            if( mtop == 0 ){
               free(mmm) ;
               return "*** Illegal mask range for mask dataset of bytes. ***" ;
            }
         } else {
            mbot = 0 ;
            mtop = (byte) MRI_TYPE_maxval[MRI_short] ;
         }
         for( mcount=0,ii=0 ; ii < nvox ; ii++ )
            if( mar[ii] >= mbot && mar[ii] <= mtop && mar[ii] != 0 ){ mmm[ii] = 1 ; mcount++ ; }
            else                                                    { mmm[ii] = 0 ; }
      }
      break ;

      case MRI_float:{
         float mbot , mtop ;
         float * mar = (float *) DSET_ARRAY(mask_dset,miv) ;
         float mfac = DSET_BRICK_FACTOR(mask_dset,miv) ;
         if( mfac == 0.0 ) mfac = 1.0 ;
         if( mask_bot <= mask_top ){
            mbot = (float) (mask_bot/mfac) ;
            mtop = (float) (mask_top/mfac) ;
         } else {
            mbot = -WAY_BIG ;
            mtop =  WAY_BIG ;
         }
         for( mcount=0,ii=0 ; ii < nvox ; ii++ )
            if( mar[ii] >= mbot && mar[ii] <= mtop && mar[ii] != 0 ){ mmm[ii] = 1 ; mcount++ ; }
            else                                                    { mmm[ii] = 0 ; }
      }
      break ;
   }

   if( mcount == 0 ){
      free(mmm) ;
      return "*** No voxels survive the masking operations! ***" ;
   }
   sigmait = (mcount > 1) ;

   /*-- compute statistics --*/

   if( doall ){
      sumar  = (float *) malloc( sizeof(float) * nvals ) ;
      sigmar = (float *) malloc( sizeof(float) * nvals ) ;
   }

   for( iv=ivbot ; iv <= ivtop ; iv++ ){
      sum = sigma = 0.0 ;                         /* 13 Dec 1999 */
      switch( DSET_BRICK_TYPE(input_dset,iv) ){

         default:
            free(mmm) ; if( doall ){ free(sumar) ; free(sigmar) ; }
            return "*** Can't use source dataset -- illegal data type! ***" ;

         case MRI_short:{
            short * bar = (short *) DSET_ARRAY(input_dset,iv) ;
            float mfac = DSET_BRICK_FACTOR(input_dset,iv) ;
            if( mfac == 0.0 ) mfac = 1.0 ;

            for( ii=0 ; ii < nvox ; ii++ ) if( mmm[ii] ) sum += bar[ii] ;
            sum = sum / mcount ;

            if( sigmait ){
               for( ii=0 ; ii < nvox ; ii++ )
                  if( mmm[ii] ) sigma += SQR(bar[ii]-sum) ;
               sigma = mfac * sqrt( sigma/(mcount-1) ) ;
            }
            sum = mfac * sum ;
         }
         break ;

         case MRI_byte:{
            byte * bar = (byte *) DSET_ARRAY(input_dset,iv) ;
            float mfac = DSET_BRICK_FACTOR(input_dset,iv) ;
            if( mfac == 0.0 ) mfac = 1.0 ;

            for( ii=0 ; ii < nvox ; ii++ ) if( mmm[ii] ) sum += bar[ii] ;
            sum = sum / mcount ;

            if( sigmait ){
               for( ii=0 ; ii < nvox ; ii++ )
                  if( mmm[ii] ) sigma += SQR(bar[ii]-sum) ;
               sigma = mfac * sqrt( sigma/(mcount-1) ) ;
            }
            sum = mfac * sum ;
         }
         break ;

         case MRI_float:{
            float * bar = (float *) DSET_ARRAY(input_dset,iv) ;
            float mfac = DSET_BRICK_FACTOR(input_dset,iv) ;
            if( mfac == 0.0 ) mfac = 1.0 ;

            for( ii=0 ; ii < nvox ; ii++ ) if( mmm[ii] ) sum += bar[ii] ;
            sum = sum / mcount ;

            if( sigmait ){
               for( ii=0 ; ii < nvox ; ii++ )
                  if( mmm[ii] ) sigma += SQR(bar[ii]-sum) ;
               sigma = mfac * sqrt( sigma/(mcount-1) ) ;
            }
            sum = mfac * sum ;
         }
         break ;
      }

      if( doall ){ sumar[iv] = sum ; sigmar[iv] = sigma ; }
   }

   free(mmm) ;

   /*-- send report --*/

   if( doall ){
      str = (char *) malloc( 1024 + 64*nvals ) ;
      sprintf(str," ****** ROI statistics ****** \n"
                  " Source  = %s [all sub-bricks] \n"
                  " Mask    = %s [%s]" ,
              DSET_FILECODE(input_dset) ,
              DSET_FILECODE(mask_dset)  , DSET_BRICK_LABEL(mask_dset,miv) ) ;
      if( mask_bot <= mask_top ){
         sprintf(buf," [range %g .. %g]" , mask_bot , mask_top ) ;
         strcat(str,buf) ;
      }
      strcat(str," \n") ;
      sprintf(buf," Count   = %d voxels\n",mcount) ; strcat(str,buf) ;
      for( iv=0 ; iv < nvals ; iv++ ){
         AV_fval_to_char( sumar[iv]  , abuf ) ;
         AV_fval_to_char( sigmar[iv] , sbuf ) ;
         sprintf(buf," Average = %9.9s  Sigma = %9.9s [%s]  \n",
                 abuf,sbuf , DSET_BRICK_LABEL(input_dset,iv) ) ;
         strcat(str,buf) ;
      }
      PLUTO_popup_textwin( plint , str ) ;

      /* 06 Aug 1998 */

      if( cname != NULL && cname[0] != '\0' ){
         MRI_IMAGE * qim = mri_new_vol_empty( nvals,1,1 , MRI_float ) ;
         mri_fix_data_pointer( sumar , qim ) ;
         PLUTO_register_timeseries( cname , qim ) ;

         if( cdisk ){                         /* 22 Aug 2000 */
            if( PLUTO_prefix_ok(cname) ){
               char * cn ;
               if( strstr(cname,".1D") == NULL ){
                  cn = malloc(strlen(cname)+8) ;
                  strcpy(cn,cname) ; strcat(cn,".1D") ;
               } else {
                  cn = cname ;
               }
               mri_write_1D( cn , qim ) ;
               if( cn != cname ) free(cn) ;
            } else {
               PLUTO_popup_transient(plint," \n"
                                           "** Illegal filename **\n"
                                           "** in 'To Disk?' !! **\n" ) ;
            }
         }

         mri_fix_data_pointer( NULL , qim ) ; mri_free(qim) ;
      }

      free(str) ; free(sumar) ; free(sigmar) ;

   } else if( mask_bot <= mask_top ){
      str = (char *) malloc( 1024 ) ;
      sprintf( str , " *** ROI Statistics *** \n"
                     " Source  = %s [%s] \n"
                     " Mask    = %s [%s] [range %g .. %g] \n"
                     " Count   = %d voxels \n"
                     " Average = %g \n"
                     " Sigma   = %g " ,
               DSET_FILECODE(input_dset) , DSET_BRICK_LABEL(input_dset,ivbot) ,
               DSET_FILECODE(mask_dset)  , DSET_BRICK_LABEL(mask_dset,miv)    ,
               mask_bot , mask_top , mcount , sum , sigma ) ;
      PLUTO_popup_message(plint,str) ;
      free(str) ;

   } else {
      str = (char *) malloc( 1024 ) ;
      sprintf( str , " *** ROI Statistics *** \n"
                     " Source  = %s [%s] \n"
                     " Mask    = %s [%s] \n"
                     " Count   = %d voxels \n"
                     " Average = %g \n"
                     " Sigma   = %g " ,
               DSET_FILECODE(input_dset) , DSET_BRICK_LABEL(input_dset,ivbot) ,
               DSET_FILECODE(mask_dset)  , DSET_BRICK_LABEL(mask_dset,miv)    ,
               mcount , sum , sigma ) ;
      PLUTO_popup_message(plint,str) ;
      free(str) ;
   }

   return NULL ;
}
Ejemplo n.º 2
0
THD_3dim_dataset * THD_localhistog( int nsar , THD_3dim_dataset **insar ,
                                    int numval , int *rlist , MCW_cluster *nbhd ,
                                    int do_prob , int verb )
{
   THD_3dim_dataset *outset=NULL , *inset ;
   int nvox=DSET_NVOX(insar[0]) ;
   int ids, iv, bb, nnpt=nbhd->num_pt ;
   MRI_IMAGE *bbim ; int btyp ;
   float **outar , **listar ;

ENTRY("THD_localhistog") ;

   /*---- create output dataset ----*/

   outset = EDIT_empty_copy(insar[0]) ;
   EDIT_dset_items( outset ,
                      ADN_nvals     , numval    ,
                      ADN_datum_all , MRI_float ,
                      ADN_nsl       , 0         ,
                      ADN_brick_fac , NULL      ,
                    ADN_none ) ;
   outar = (float **)malloc(sizeof(float *)*numval) ;
   for( bb=0 ; bb < numval ; bb++ ){
     EDIT_substitute_brick( outset , bb , MRI_float , NULL ) ;
     outar[bb] = DSET_BRICK_ARRAY(outset,bb) ;
   }

   /*---- make mapping between values and arrays to get those values ----*/

   listar = (float **)malloc(sizeof(float *)*TWO16) ;
   for( bb=0 ; bb < TWO16 ; bb++ ) listar[bb] = outar[0] ;
   for( bb=1 ; bb < numval ; bb++ ){
     listar[ rlist[bb] + TWO15 ] = outar[bb] ;
   }

   /*----------- loop over datasets, add in counts for all voxels -----------*/

   for( ids=0 ; ids < nsar ; ids++ ){              /* dataset loop */
     inset = insar[ids] ; DSET_load(inset) ;
     for( iv=0 ; iv < DSET_NVALS(inset) ; iv++ ){  /* sub-brick loop */
       if( verb ) fprintf(stderr,".") ;
       bbim = DSET_BRICK(inset,iv) ; btyp = bbim->kind ;
       if( nnpt == 1 ){                            /* only 1 voxel in nbhd */
         int qq,ii,jj,kk,ib,nb ;
         switch( bbim->kind ){
           case MRI_short:{
             short *sar = MRI_SHORT_PTR(bbim) ;
             for( qq=0 ; qq < nvox ; qq++ ) listar[sar[qq]+TWO15][qq]++ ;
           }
           break ;
           case MRI_byte:{
             byte *bar = MRI_BYTE_PTR(bbim) ;
             for( qq=0 ; qq < nvox ; qq++ ) listar[bar[qq]+TWO15][qq]++ ;
           }
           break ;
           case MRI_float:{
             float *far = MRI_FLOAT_PTR(bbim) ; short ss ;
             for( qq=0 ; qq < nvox ; qq++ ){ ss = SHORTIZE(far[qq]); listar[ss+TWO15][qq]++; }
           }
           break ;
         }
       } else {                                    /* multiple voxels in nbhd */
 AFNI_OMP_START ;
#pragma omp parallel
 { int qq,ii,jj,kk,ib,nb ; void *nar ; short *sar,ss ; byte *bar ; float *far ;
   nar = malloc(sizeof(float)*nnpt) ;
   sar = (short *)nar ; bar = (byte *)nar ; far = (float *)nar ;
#pragma omp for
         for( qq=0 ; qq < nvox ; qq++ ){           /* qq=voxel index */
           ii = DSET_index_to_ix(inset,qq) ;
           jj = DSET_index_to_jy(inset,qq) ;
           kk = DSET_index_to_kz(inset,qq) ;
           nb = mri_get_nbhd_array( bbim , NULL , ii,jj,kk , nbhd , nar ) ;
           if( nb == 0 ) continue ;
           switch( btyp ){
             case MRI_short:
               for( ib=0 ; ib < nb ; ib++ ) listar[sar[ib]+TWO15][qq]++ ;
             break ;
             case MRI_byte:
               for( ib=0 ; ib < nb ; ib++ ) listar[bar[ib]+TWO15][qq]++ ;
             break ;
             case MRI_float:
               for( ib=0 ; ib < nb ; ib++ ){ ss = SHORTIZE(far[ib]); listar[ss+TWO15][qq]++; }
             break ;
           }
         } /* end of voxel loop */
   free(nar) ;
 } /* end of OpenMP */
 AFNI_OMP_END ;
       }
     } /* end of sub-brick loop */
     DSET_unload(inset) ;
   } /* end of dataset loop */

   if( verb ) fprintf(stderr,"\n") ;

   free(listar) ;

   /*---- post-process output ---*/

   if( do_prob ){
     byte **bbar ; int pp ;
 
     if( verb ) INFO_message("Conversion to probabilities") ;

 AFNI_OMP_START ;
#pragma omp parallel
 { int qq , ib ; float pfac , val ; byte **bbar ;
#pragma omp for
     for( qq=0 ; qq < nvox ; qq++ ){
       pfac = 0.0001f ;
       for( ib=0 ; ib < numval ; ib++ ) pfac += outar[ib][qq] ;
       pfac = 250.0f / pfac ;
       for( ib=0 ; ib < numval ; ib++ ){
         val = outar[ib][qq]*pfac ; outar[ib][qq] = BYTEIZE(val) ;
       }
     }
 } /* end OpenMP */
 AFNI_OMP_END ;

     bbar = (byte **)malloc(sizeof(byte *)*numval) ;
     for( bb=0 ; bb < numval ; bb++ ){
       bbar[bb] = (byte *)malloc(sizeof(byte)*nvox) ;
       for( pp=0 ; pp < nvox ; pp++ ) bbar[bb][pp] = (byte)outar[bb][pp] ;
       EDIT_substitute_brick(outset,bb,MRI_byte,bbar[bb]) ;
       EDIT_BRICK_FACTOR(outset,bb,0.004f) ;
     }
     free(bbar) ;

   } /* end of do_prob */

   free(outar) ;
   RETURN(outset) ;
}
Ejemplo n.º 3
0
MRI_IMAGE *mri_to_short_sclip( double scl , double lev ,
                               int bot , int top , MRI_IMAGE *oldim )
{
   MRI_IMAGE *newim ;
   register int ii , npix ;
   double   imin,imax ;
   register double dscale , dbbot ;
   register float  scale  , flbot , val ;
   register short * ar ;

ENTRY("mri_to_short_sclip") ;

   if( oldim == NULL ) RETURN( NULL );  /* 09 Feb 1999 */

   newim = mri_new_conforming( oldim , MRI_short ) ;
   npix  = oldim->nvox ;

   if( scl == 0 ){  /* compute scaling to make [min..max] -> [0..lev] */

      imin = (oldim->kind==MRI_complex || oldim->kind==MRI_rgb) ? (0) : mri_min(oldim) ;
      imax = mri_max( oldim ) ;
      imax = (imax <= imin) ? imin+1 : imax ;

      scale = dscale = (lev+0.99) / (imax-imin)  ;
      flbot = dbbot  = imin ;

   } else {          /* user controlled scaling, with lev -> 0 */
      scale = dscale = scl ;
      flbot = dbbot  = lev ;
   }

   ar = mri_data_pointer( newim ) ;  /* fast access to data */

   switch( oldim->kind ){

      case MRI_rgb:{
         register byte * rgb = mri_data_pointer(oldim) ;
         float rfac=0.299*scale , gfac=0.587*scale , bfac=0.114*scale ;
         for( ii=0 ; ii < npix ; ii++ )
            ar[ii] = (short) (  rfac * rgb[3*ii]
                              + gfac * rgb[3*ii+1]
                              + bfac * rgb[3*ii+2] ) ;
      }
      break ;

      case MRI_byte:{
         register byte * oar = mri_data_pointer(oldim) ;
         for( ii=0 ; ii < npix ; ii++ ){
            val = scale * (oar[ii]-flbot) ;
            ar[ii] = BYTEIZE(val) ;
         }
         break ;
      }

      case MRI_short:{
         register short * oar = mri_data_pointer(oldim) ;
         for( ii=0 ; ii < npix ; ii++ ){
            val = scale * (oar[ii]-flbot) ;
            ar[ii] = SHORTIZE(val) ;
         }
         break ;
      }

      case MRI_int:{
         register int * oar = mri_data_pointer(oldim) ;
         for( ii=0 ; ii < npix ; ii++ )
            ar[ii] = scale * (oar[ii]-flbot) ;
         break ;
      }

      case MRI_float:{
         register float * oar = mri_data_pointer(oldim) ;
         for( ii=0 ; ii < npix ; ii++ )
            ar[ii] = scale * (oar[ii]-flbot) ;
         break ;
      }

      case MRI_double:{
         register double * oar = mri_data_pointer(oldim) ;
         for( ii=0 ; ii < npix ; ii++ )
            ar[ii] = dscale * (oar[ii]-dbbot) ;
         break ;
      }

      case MRI_complex:{
         register complex * oar = mri_data_pointer(oldim) ;
         for( ii=0 ; ii < npix ; ii++ )
            ar[ii] = scale * CABS(oar[ii]) ;
         break ;
      }

      default:
         fprintf( stderr , "mri_to_short_scl:  unrecognized image kind\n" ) ;
         MRI_FATAL_ERROR ;
   }

   /* clip, if desired */

   if( bot < top ){
      register short bb = bot , tt = top ;
      for( ii=0 ; ii < npix ; ii++ ){
             if( ar[ii] < bb ) ar[ii] = bb ;
       else if( ar[ii] > tt ) ar[ii] = tt ;
      }
   }

   MRI_COPY_AUX(newim,oldim) ;
   RETURN( newim );
}
Ejemplo n.º 4
0
int main( int argc , char *argv[] )
{
   THD_3dim_dataset *dset , *oset=NULL , *tset=NULL ;
   int nvals , iv , nxyz , ii,jj,kk , iarg , kz,kzold ;
   float cut1=2.5,cut2=4.0 , sq2p,sfac , fq ;
   MRI_IMAGE *flim ;
   char *prefix="despike" , *tprefix=NULL ;

   int corder=-1 , nref , ignore=0 , polort=2 , nuse , nomask=0 ;
   int nspike, nbig, nproc ;
   float **ref ;
   float  c21,ic21 , pspike,pbig ;
   short  *sar , *qar ;
   byte   *tar , *mask=NULL ;
   float  *zar , *yar ;
   int     datum ;
   int     localedit=0 ;  /* 04 Apr 2007 */
   int     verb=1 ;

   int     do_NEW = 0 ;   /* 29 Nov 2013 */
   MRI_IMAGE *NEW_psinv=NULL ;
   int     dilate = 4 ;   /* 04 Dec 2013 */
   int     ctim   = 0 ;

   /*----- Read command line -----*/

   AFNI_SETUP_OMP(0) ;  /* 24 Jun 2013 */

   if( argc < 2 || strcmp(argv[1],"-help") == 0 ){
      printf("Usage: 3dDespike [options] dataset\n"
             "Removes 'spikes' from the 3D+time input dataset and writes\n"
             "a new dataset with the spike values replaced by something\n"
             "more pleasing to the eye.\n"
             "\n"
             "Method:\n"
             " * L1 fit a smooth-ish curve to each voxel time series\n"
             "    [see -corder option for description of the curve]\n"
             "    [see -NEW option for a different & faster fitting method]\n"
             " * Compute the MAD of the difference between the curve and\n"
             "    the data time series (the residuals).\n"
             " * Estimate the standard deviation 'sigma' of the residuals\n"
             "    as sqrt(PI/2)*MAD.\n"
             " * For each voxel value, define s = (value-curve)/sigma.\n"
             " * Values with s > c1 are replaced with a value that yields\n"
             "    a modified s' = c1+(c2-c1)*tanh((s-c1)/(c2-c1)).\n"
             " * c1 is the threshold value of s for a 'spike' [default c1=2.5].\n"
             " * c2 is the upper range of the allowed deviation from the curve:\n"
             "    s=[c1..infinity) is mapped to s'=[c1..c2)   [default c2=4].\n"
             "\n"
             "Options:\n"
             " -ignore I  = Ignore the first I points in the time series:\n"
             "               these values will just be copied to the\n"
             "               output dataset [default I=0].\n"
             " -corder L  = Set the curve fit order to L:\n"
             "               the curve that is fit to voxel data v(t) is\n"
             "\n"
             "                       k=L [        (2*PI*k*t)          (2*PI*k*t) ]\n"
             " f(t) = a+b*t+c*t*t + SUM  [ d * sin(--------) + e * cos(--------) ]\n"
             "                       k=1 [  k     (    T   )    k     (    T   ) ]\n"
             "\n"
             "               where T = duration of time series;\n"
             "               the a,b,c,d,e parameters are chosen to minimize\n"
             "               the sum over t of |v(t)-f(t)| (L1 regression);\n"
             "               this type of fitting is is insensitive to large\n"
             "               spikes in the data.  The default value of L is\n"
             "               NT/30, where NT = number of time points.\n"
             "\n"
             " -cut c1 c2 = Alter default values for the spike cut values\n"
             "               [default c1=2.5, c2=4.0].\n"
             " -prefix pp = Save de-spiked dataset with prefix 'pp'\n"
             "               [default pp='despike']\n"
             " -ssave ttt = Save 'spikiness' measure s for each voxel into a\n"
             "               3D+time dataset with prefix 'ttt' [default=no save]\n"
             " -nomask    = Process all voxels\n"
             "               [default=use a mask of high-intensity voxels, ]\n"
             "               [as created via '3dAutomask -dilate 4 dataset'].\n"
             " -dilate nd = Dilate 'nd' times (as in 3dAutomask).  The default\n"
             "               value of 'nd' is 4.\n"
             " -q[uiet]   = Don't print '++' informational messages.\n"
             "\n"
             " -localedit = Change the editing process to the following:\n"
             "                If a voxel |s| value is >= c2, then replace\n"
             "                the voxel value with the average of the two\n"
             "                nearest non-spike (|s| < c2) values; the first\n"
             "                one previous and the first one after.\n"
             "                Note that the c1 cut value is not used here.\n"
             "\n"
             " -NEW       = Use the 'new' method for computing the fit, which\n"
             "              should be faster than the L1 method for long time\n"
             "              series (200+ time points); however, the results\n"
             "              are similar but NOT identical. [29 Nov 2013]\n"
             "              * You can also make the program use the 'new'\n"
             "                method by setting the environment variable\n"
             "                  AFNI_3dDespike_NEW\n"
             "                to the value YES; as in\n"
             "                  setenv AFNI_3dDespike_NEW YES  (csh)\n"
             "                  export AFNI_3dDespike_NEW=YES  (bash)\n"
             "              * If this variable is set to YES, you can turn off\n"
             "                the '-NEW' processing by using the '-OLD' option.\n"
             "          -->>* For time series more than 500 points long, the\n"
             "                '-OLD' algorithm is tremendously slow.  You should\n"
             "                use the '-NEW' algorith in such cases.\n"
             "             ** At some indeterminate point in the future, the '-NEW'\n"
             "                method will become the default!\n"
             "          -->>* As of 29 Sep 2016, '-NEW' is the default if there\n"
             "                is more than 500 points in the time series dataset.\n"
             "\n"
             " -NEW25     = A slightly more aggressive despiking approach than\n"
             "              the '-NEW' method.\n"
             "\n"
             "Caveats:\n"
             "* Despiking may interfere with image registration, since head\n"
             "   movement may produce 'spikes' at the edge of the brain, and\n"
             "   this information would be used in the registration process.\n"
             "   This possibility has not been explored or calibrated.\n"
             "* [LATER] Actually, it seems like the registration problem\n"
             "   does NOT happen, and in fact, despiking seems to help!\n"
             "* Check your data visually before and after despiking and\n"
             "   registration!\n"
             "   [Hint: open 2 AFNI controllers, and turn Time Lock on.]\n"
            ) ;

      PRINT_AFNI_OMP_USAGE("3dDespike",NULL) ;
      PRINT_COMPILE_DATE ; exit(0) ;
   }

   /** AFNI package setup and logging **/

   mainENTRY("3dDespike main"); machdep(); AFNI_logger("3dDespike",argc,argv);
   PRINT_VERSION("3dDespike") ; AUTHOR("RW Cox") ;

   /** parse options **/

   if( AFNI_yesenv("AFNI_3dDespike_NEW") ) do_NEW = 1 ;  /* 29 Nov 2013 */

   iarg = 1 ;
   while( iarg < argc && argv[iarg][0] == '-' ){

      if( strncmp(argv[iarg],"-q",2) == 0 ){       /* 04 Apr 2007 */
        verb = 0 ; iarg++ ; continue ;
      }
      if( strncmp(argv[iarg],"-v",2) == 0 ){
        verb++ ; iarg++ ; continue ;
      }

      if( strcmp(argv[iarg],"-NEW") == 0 ){       /* 29 Nov 2013 */
        do_NEW = 1 ; iarg++ ; continue ;
      }
      if( strcmp(argv[iarg],"-NEW25") == 0 ){     /* 29 Sep 2016 */
        do_NEW = 1 ; use_des25 = 1 ; cut1 = 2.5f ; cut2 = 3.2f ; iarg++ ; continue ;
      }
      if( strcmp(argv[iarg],"-OLD") == 0 ){
        do_NEW = 0 ; iarg++ ; continue ;
      }

      /** -localedit **/

      if( strcmp(argv[iarg],"-localedit") == 0 ){  /* 04 Apr 2007 */
        localedit = 1 ; iarg++ ; continue ;
      }

      /** don't use masking **/

      if( strcmp(argv[iarg],"-nomask") == 0 ){
        nomask = 1 ; iarg++ ; continue ;
      }

      /** dilation count [04 Dec 2013] **/

      if( strcmp(argv[iarg],"-dilate") == 0 ){
        dilate = (int)strtod(argv[++iarg],NULL) ;
             if( dilate <=  0 ) dilate = 1 ;
        else if( dilate >  99 ) dilate = 99 ;
        iarg++ ; continue ;
      }

      /** output dataset prefix **/

      if( strcmp(argv[iarg],"-prefix") == 0 ){
        prefix = argv[++iarg] ;
        if( !THD_filename_ok(prefix) ) ERROR_exit("-prefix is not good");
        iarg++ ; continue ;
      }

      /** ratio dataset prefix **/

      if( strcmp(argv[iarg],"-ssave") == 0 ){
        tprefix = argv[++iarg] ;
        if( !THD_filename_ok(tprefix) ) ERROR_exit("-ssave prefix is not good");
        iarg++ ; continue ;
      }

      /** trigonometric polynomial order **/

      if( strcmp(argv[iarg],"-corder") == 0 ){
        corder = strtol( argv[++iarg] , NULL , 10 ) ;
        if( corder < 0 ) ERROR_exit("Illegal value of -corder");
        iarg++ ; continue ;
      }

      /** how much to ignore at start **/

      if( strcmp(argv[iarg],"-ignore") == 0 ){
        ignore = strtol( argv[++iarg] , NULL , 10 ) ;
        if( ignore < 0 ) ERROR_exit("Illegal value of -ignore");
        iarg++ ; continue ;
      }

      /** thresholds for s ratio **/

      if( strcmp(argv[iarg],"-cut") == 0 ){
        cut1 = strtod( argv[++iarg] , NULL ) ;
        cut2 = strtod( argv[++iarg] , NULL ) ;
        if( cut1 < 1.0 || cut2 < cut1+0.5 )
          ERROR_exit("Illegal values after -cut");
        iarg++ ; continue ;
      }

      ERROR_exit("Unknown option: %s",argv[iarg]) ;
   }

   c21 = cut2-cut1 ; ic21 = 1.0/c21 ;

   /*----- read input dataset -----*/

   if( iarg >= argc ) ERROR_exit("No input dataset!!??");

   dset = THD_open_dataset( argv[iarg] ) ;
   CHECK_OPEN_ERROR(dset,argv[iarg]) ;
   datum = DSET_BRICK_TYPE(dset,0) ;
   if( (datum != MRI_short && datum != MRI_float) || !DSET_datum_constant(dset) )
     ERROR_exit("Can't process non-short, non-float dataset!") ;

   if( verb ) INFO_message("Input data type = %s\n",MRI_TYPE_name[datum]) ;
   nvals = DSET_NUM_TIMES(dset) ; nuse = nvals - ignore ;
   if( nuse < 15 )
     ERROR_exit("Can't use dataset with < 15 time points per voxel!") ;

   if( nuse > 500 && !do_NEW ){
     INFO_message("Switching to '-NEW' method since number of time points = %d > 500",nuse) ;
     do_NEW = 1 ;
   }
   if( use_des25 && nuse < 99 ) use_des25 = 0 ;

   if( verb ) INFO_message("ignoring first %d time points, using last %d",ignore,nuse);
   if( corder > 0 && 4*corder+2 > nuse ){
     ERROR_exit("-corder %d is too big for NT=%d",corder,nvals) ;
   } else if( corder < 0 ){
     corder = rint(nuse/30.0) ; if( corder > 50 && !do_NEW ) corder = 50 ;
     if( verb ) INFO_message("using %d time points => -corder %d",nuse,corder) ;
   } else {
     if( verb ) INFO_message("-corder %d set from command line",corder) ;
   }
   nxyz = DSET_NVOX(dset) ;
   if( verb ) INFO_message("Loading dataset %s",argv[iarg]) ;
   DSET_load(dset) ; CHECK_LOAD_ERROR(dset) ;

   /*-- create automask --*/

   if( !nomask ){
     mask = THD_automask( dset ) ;
     if( verb ){
       ii = THD_countmask( DSET_NVOX(dset) , mask ) ;
       INFO_message("%d voxels in the automask [out of %d in dataset]",ii,DSET_NVOX(dset)) ;
     }
     for( ii=0 ; ii < dilate ; ii++ )
       THD_mask_dilate( DSET_NX(dset), DSET_NY(dset), DSET_NZ(dset), mask, 3 ) ;
     if( verb ){
       ii = THD_countmask( DSET_NVOX(dset) , mask ) ;
       INFO_message("%d voxels in the dilated automask [out of %d in dataset]",ii,DSET_NVOX(dset)) ;
     }
   } else {
     if( verb ) INFO_message("processing all %d voxels in dataset",DSET_NVOX(dset)) ;
   }

   /*-- create empty despiked dataset --*/

   oset = EDIT_empty_copy( dset ) ;
   EDIT_dset_items( oset ,
                      ADN_prefix    , prefix ,
                      ADN_brick_fac , NULL ,
                      ADN_datum_all , datum ,
                    ADN_none ) ;

   if( THD_deathcon() && THD_is_file(DSET_HEADNAME(oset)) )
     ERROR_exit("output dataset already exists: %s",DSET_HEADNAME(oset));

   tross_Copy_History( oset , dset ) ;
   tross_Make_History( "3dDespike" , argc , argv , oset ) ;

   /* create bricks (will be filled with zeros) */

   for( iv=0 ; iv < nvals ; iv++ )
     EDIT_substitute_brick( oset , iv , datum , NULL ) ;

   /* copy the ignored bricks */

   switch( datum ){
     case MRI_short:
       for( iv=0 ; iv < ignore ; iv++ ){
         sar = DSET_ARRAY(oset,iv) ;
         qar = DSET_ARRAY(dset,iv) ;
         memcpy( sar , qar , DSET_BRICK_BYTES(dset,iv) ) ;
         DSET_unload_one(dset,iv) ;
       }
     break ;
     case MRI_float:
       for( iv=0 ; iv < ignore ; iv++ ){
         zar = DSET_ARRAY(oset,iv) ;
         yar = DSET_ARRAY(dset,iv) ;
         memcpy( zar , yar , DSET_BRICK_BYTES(dset,iv) ) ;
         DSET_unload_one(dset,iv) ;
       }
     break ;
   }

   /*-- setup to save a threshold statistic dataset, if desired --*/

   if( tprefix != NULL ){
     float *fac ;
     tset = EDIT_empty_copy( dset ) ;
     fac  = (float *) malloc( sizeof(float) * nvals ) ;
     for( ii=0 ; ii < nvals ; ii++ ) fac[ii] = TFAC ;
     EDIT_dset_items( tset ,
                        ADN_prefix    , tprefix ,
                        ADN_brick_fac , fac ,
                        ADN_datum_all , MRI_byte ,
                        ADN_func_type , FUNC_FIM_TYPE ,
                      ADN_none ) ;
     free(fac) ;

     tross_Copy_History( tset , dset ) ;
     tross_Make_History( "3dDespike" , argc , argv , tset ) ;

#if 0
     if( THD_is_file(DSET_HEADNAME(tset)) )
       ERROR_exit("-ssave dataset already exists");
#endif

     tross_Copy_History( tset , dset ) ;
     tross_Make_History( "3dDespike" , argc , argv , tset ) ;

     for( iv=0 ; iv < nvals ; iv++ )
       EDIT_substitute_brick( tset , iv , MRI_byte , NULL ) ;
   }

   /*-- setup to find spikes --*/

   sq2p  = sqrt(0.5*PI) ;
   sfac  = sq2p / 1.4826f ;

   /* make ref functions */

   nref = 2*corder+3 ;
   ref  = (float **) malloc( sizeof(float *) * nref ) ;
   for( jj=0 ; jj < nref ; jj++ )
     ref[jj] = (float *) malloc( sizeof(float) * nuse ) ;

   /* r(t) = 1 */

   for( iv=0 ; iv < nuse ; iv++ ) ref[0][iv] = 1.0 ;
   jj = 1 ;

   /* r(t) = t - tmid */

   { float tm = 0.5 * (nuse-1.0) ; float fac = 2.0 / nuse ;
     for( iv=0 ; iv < nuse ; iv++ ) ref[1][iv] = (iv-tm)*fac ;
     jj = 2 ;

     /* r(t) = (t-tmid)**jj */

     for( ; jj <= polort ; jj++ )
       for( iv=0 ; iv < nuse ; iv++ )
         ref[jj][iv] = pow( (iv-tm)*fac , (double)jj ) ;
   }

   for( kk=1 ; kk <= corder ; kk++ ){
     fq = (2.0*PI*kk)/nuse ;

     /* r(t) = sin(2*PI*k*t/N) */

     for( iv=0 ; iv < nuse ; iv++ )
       ref[jj][iv] = sin(fq*iv) ;
     jj++ ;

     /* r(t) = cos(2*PI*k*t/N) */

     for( iv=0 ; iv < nuse ; iv++ )
       ref[jj][iv] = cos(fq*iv) ;
     jj++ ;
   }

   /****** setup for the NEW solution method [29 Nov 2013] ******/

   if( do_NEW ){
     NEW_psinv = DES_get_psinv(nuse,nref,ref) ;
     INFO_message("Procesing time series with NEW model fit algorithm") ;
   } else {
     INFO_message("Procesing time series with OLD model fit algorithm") ;
   }

   /*--- loop over voxels and do work ---*/

#define Laplace_t2p(val) ( 1.0 - nifti_stat2cdf( (val), 15, 0.0, 1.4427 , 0.0 ) )

   if( verb ){
    if( !localedit ){
      INFO_message("smash edit thresholds: %.1f .. %.1f MADs",cut1*sq2p,cut2*sq2p) ;
      ININFO_message("  [ %.3f%% .. %.3f%% of normal distribution]",
                     200.0*qg(cut1*sfac) , 200.0*qg(cut2*sfac) ) ;
      ININFO_message("  [ %.3f%% .. %.3f%% of Laplace distribution]" ,
                   100.0*Laplace_t2p(cut1) , 100.0*Laplace_t2p(cut2) ) ;
    } else {
      INFO_message("local edit threshold:  %.1f MADS",cut2*sq2p) ;
      ININFO_message("  [ %.3f%% of normal distribution]",
                    200.0*qg(cut2*sfac) ) ;
      ININFO_message("  [ %.3f%% of Laplace distribution]",
                   100.0*Laplace_t2p(cut1) ) ;
    }
    INFO_message("%d slices to process",DSET_NZ(dset)) ;
   }
   kzold  = -1 ;
   nspike =  0 ; nbig = 0 ; nproc = 0 ; ctim = NI_clock_time() ;

 AFNI_OMP_START ;
#pragma omp parallel if( nxyz > 6666 )
 { int ii , iv , iu , id , jj ;
   float *far , *dar , *var , *fitar , *ssp , *fit , *zar ;
   short *sar , *qar ; byte *tar ;
   float fsig , fq , cls , snew , val ;
   float *NEW_wks=NULL ;

#pragma omp critical (DESPIKE_malloc)
  { far   = (float *) malloc( sizeof(float) * nvals ) ;
    dar   = (float *) malloc( sizeof(float) * nvals ) ;
    var   = (float *) malloc( sizeof(float) * nvals ) ;
    fitar = (float *) malloc( sizeof(float) * nvals ) ;
    ssp   = (float *) malloc( sizeof(float) * nvals ) ;
    fit   = (float *) malloc( sizeof(float) * nref  ) ;
    if( do_NEW ) NEW_wks = (float *)malloc(sizeof(float)*DES_workspace_size(nuse,nref)) ;
  }

#ifdef USE_OMP
   INFO_message("start OpenMP thread #%d",omp_get_thread_num()) ;
#endif

#pragma omp for
   for( ii=0 ; ii < nxyz ; ii++ ){   /* ii = voxel index */

      if( mask != NULL && mask[ii] == 0 ) continue ;   /* skip this voxel */

#ifndef USE_OMP
      kz = DSET_index_to_kz(dset,ii) ;       /* starting a new slice */
      if( kz != kzold ){
        if( verb ){
          fprintf(stderr, "++ start slice %2d",kz ) ;
          if( nproc > 0 ){
            pspike = (100.0*nspike)/nproc ;
            pbig   = (100.0*nbig  )/nproc ;
            fprintf(stderr,
                    "; so far %d data points, %d edits [%.3f%%], %d big edits [%.3f%%]",
                    nproc,nspike,pspike,nbig,pbig ) ;
          }
          fprintf(stderr,"\n") ;
        }
        kzold = kz ;
      }
#else
      if( verb && ii % 2345 == 1234 ) fprintf(stderr,".") ;
#endif

      /*** extract ii-th time series into far[] ***/

      switch( datum ){
        case MRI_short:
          for( iv=0 ; iv < nuse ; iv++ ){
            qar = DSET_ARRAY(dset,iv+ignore) ;   /* skip ignored data */
            far[iv] = (float)qar[ii] ;
          }
        break ;
        case MRI_float:
          for( iv=0 ; iv < nuse ; iv++ ){
            zar = DSET_ARRAY(dset,iv+ignore) ;
            far[iv] = zar[ii] ;
          }
        break ;
      }

      AAmemcpy(dar,far,sizeof(float)*nuse) ;   /* copy time series into dar[] */

      /*** solve for L1 fit ***/

      if( do_NEW )
        cls = DES_solve( NEW_psinv , far , fit , NEW_wks ) ; /* 29 Nov 2013 */
      else
        cls = cl1_solve( nuse , nref , far , ref , fit,0 ) ; /* the slow part */

      if( cls < 0.0f ){                      /* fit failed! */
#if 0
        fprintf(stderr,"curve fit fails at voxel %d %d %d\n",
                DSET_index_to_ix(dset,ii) ,
                DSET_index_to_jy(dset,ii) ,
                DSET_index_to_kz(dset,ii)  ) ;
#endif
        continue ;                           /* skip this voxel */
      }

      for( iv=0 ; iv < nuse ; iv++ ){        /* detrend */
        val =  fit[0]
             + fit[1]*ref[1][iv]             /* quadratic part of curve fit */
             + fit[2]*ref[2][iv] ;
        for( jj=3 ; jj < nref ; jj++ )       /* rest of curve fit */
          val += fit[jj] * ref[jj][iv] ;

        fitar[iv] = val ;                    /* save curve fit value */
        var[iv]   = dar[iv]-val ;            /* remove fitted value = resid */
        far[iv]   = fabsf(var[iv]) ;         /* abs value of resid */
      }

      /*** compute estimate standard deviation of detrended data ***/

      fsig = sq2p * qmed_float(nuse,far) ;   /* also mangles far array */

      /*** process time series for spikes, editing data in dar[] ***/

      if( fsig > 0.0f ){                     /* data wasn't fit perfectly */

        /* find spikiness for each point in time */

        fq = 1.0f / fsig ;
        for( iv=0 ; iv < nuse ; iv++ ){
          ssp[iv] = fq * var[iv] ;           /* spikiness s = how many sigma out */
        }

        /* save spikiness in -ssave datset */

        if( tset != NULL ){
          for( iv=0 ; iv < nuse ; iv++ ){
            tar     = DSET_ARRAY(tset,iv+ignore) ;
            snew    = ITFAC*fabsf(ssp[iv]) ;  /* scale for byte storage */
            tar[ii] = BYTEIZE(snew) ;         /* cf. mrilib.h */
          }
        }

        /* process values of |s| > cut1, editing dar[] */

        for( iv=0 ; iv < nuse ; iv++ ){ /* loop over time points */
          if( !localedit ){             /** classic 'smash' edit **/
            if( ssp[iv] > cut1 ){
              snew = cut1 + c21*mytanh((ssp[iv]-cut1)*ic21) ;   /* edit s down */
              dar[iv] = fitar[iv] + snew*fsig ;
#pragma omp critical (DESPIKE_counter)
              { nspike++ ; if( ssp[iv] > cut2 ) nbig++ ; }
            } else if( ssp[iv] < -cut1 ){
              snew = -cut1 + c21*mytanh((ssp[iv]+cut1)*ic21) ;  /* edit s up */
              dar[iv] = fitar[iv] + snew*fsig ;
#pragma omp critical (DESPIKE_counter)
              { nspike++ ; if( ssp[iv] < -cut2 ) nbig++ ; }
            }
          } else {                      /** local edit: 04 Apr 2007 **/
            if( ssp[iv] >= cut2 || ssp[iv] <= -cut2 ){
              for( iu=iv+1 ; iu < nuse ; iu++ )  /* find non-spike above */
                if( ssp[iu] < cut2 && ssp[iu] > -cut2 ) break ;
              for( id=iv-1 ; id >= 0   ; id-- )  /* find non-spike below */
                if( ssp[id] < cut2 && ssp[id] > -cut2 ) break ;
              switch( (id>=0) + 2*(iu<nuse) ){   /* compute replacement val */
                case 3: val = 0.5*(dar[iu]+dar[id]); break; /* iu and id OK */
                case 2: val =      dar[iu]         ; break; /* only iu OK   */
                case 1: val =              dar[id] ; break; /* only id OK   */
               default: val = fitar[iv]            ; break; /* shouldn't be */
              }
              dar[iv] = val ;
#pragma omp critical (DESPIKE_counter)
              { nspike++ ; nbig++ ; }
            }
          }
        } /* end of loop over time points */
#pragma omp atomic
        nproc += nuse ;  /* number data points processed */

      } /* end of processing time series when fsig is positive */

      /* put dar[] time series (possibly edited above) into output bricks */

      switch( datum ){
        case MRI_short:
          for( iv=0 ; iv < nuse ; iv++ ){
            sar = DSET_ARRAY(oset,iv+ignore) ; /* output brick */
            sar[ii] = (short)dar[iv] ;         /* original or mutated data */
          }
        break ;
        case MRI_float:
          for( iv=0 ; iv < nuse ; iv++ ){
            zar = DSET_ARRAY(oset,iv+ignore) ; /* output brick */
            zar[ii] = dar[iv] ;                /* original or mutated data */
          }
        break ;
      }

   } /* end of loop over voxels #ii */

#pragma omp critical (DESPIKE_malloc)
   { free(fit); free(ssp); free(fitar); free(var); free(dar); free(far);
     if( do_NEW ) free(NEW_wks) ; }

 } /* end OpenMP */
 AFNI_OMP_END ;

#ifdef USE_OMP
   if( verb ) fprintf(stderr,"\n") ;
#endif
   ctim = NI_clock_time() - ctim ;
   INFO_message( "Elapsed despike time = %s" , nice_time_string(ctim) ) ;
   if( ctim > 345678 && !do_NEW )
     ININFO_message("That was SLOW -- try the '-NEW' option for a speedup") ;

#ifdef USE_OMP
   if( verb ) fprintf(stderr,"\n") ;
#endif

   /*--- finish up ---*/

   if( do_NEW ) mri_free(NEW_psinv) ;

   DSET_delete(dset) ; /* delete input dataset */

   if( verb ){
     if( nproc > 0 ){
       pspike = (100.0*nspike)/nproc ;
       pbig   = (100.0*nbig  )/nproc ;
       INFO_message("FINAL: %d data points, %d edits [%.3f%%], %d big edits [%.3f%%]",
               nproc,nspike,pspike,nbig,pbig ) ;
     } else {
       INFO_message("FINAL: no good voxels found to process!!??") ;
     }
   }

   /* write results */

   DSET_write(oset) ;
   if( verb ) WROTE_DSET(oset) ;
   DSET_delete(oset) ;

   if( tset != NULL ){
     DSET_write(tset) ;
     if( verb ) WROTE_DSET(tset) ;
     DSET_delete(tset) ;
   }

   exit( THD_get_write_error_count() ) ;
}
Ejemplo n.º 5
0
int thd_mask_from_brick(THD_3dim_dataset * dset, int volume, float thresh,
                        byte ** mask, int absolute)
{
    float   factor;
    byte  * tmask;
    int     nvox, type, c, size = 0;

ENTRY("thd_mask_from_brick");

    if ( mask ) *mask = NULL;   /* to be sure */

    if ( !ISVALID_DSET(dset) || ! mask || volume < 0 )
        RETURN(-1);

    if ( volume >= DSET_NVALS(dset) )
    {
        fprintf(stderr,"** tmfb: sub-brick %d out-of-range\n", volume);
        RETURN(-1);
    }

    if( !DSET_LOADED(dset) ) DSET_load(dset);
    nvox = DSET_NVOX(dset);
    type = DSET_BRICK_TYPE(dset, volume);

    if ( type != MRI_byte && type != MRI_short &&
         type != MRI_int && type != MRI_float )
    {
        fprintf(stderr,"** tmfb: invalid dataset type %s, sorry...\n",
                MRI_type_name[type]);
        RETURN(-1);
    }

    tmask = (byte *)calloc(nvox, sizeof(byte));
    if ( ! tmask )
    {
        fprintf(stderr,"** tmfb: failed to allocate mask of %d bytes\n", nvox);
        RETURN(-1);
    }

    factor = DSET_BRICK_FACTOR(dset, volume);

    /* cheat: adjust threshold, not data */
    if ( factor != 0.0 ) thresh /= factor;

    switch( DSET_BRICK_TYPE(dset, volume) )
    {
        case MRI_byte:
        {
            if (thresh <= (float)MRI_maxbyte) { /* ZSS: Oct 2011
                  Without this test, a high threshold value might end up
                  equal to MRI_maxbyte when BYTEIZED below, resulting in
                  the highest voxel making it to the mask no matter how
                  much higher the threshold is set.                  */
               byte * dp  = DSET_ARRAY(dset, volume);
               byte   thr = BYTEIZE(thresh + 0.99999);  /* ceiling */
               for ( c = 0; c < nvox; c++ )
                   if ( dp[c] != 0 && ( dp[c] >= thr ) )
                   {
                       size++;
                       tmask[c] = 1;
                   }
            }
        }
            break;

        case MRI_short:
        {
            if (thresh <= (float)MRI_maxshort) { /* ZSS: Oct 2011 */
               short * dp  = DSET_ARRAY(dset, volume);
               short   thr = SHORTIZE(thresh + 0.99999);  /* ceiling */
               for ( c = 0; c < nvox; c++, dp++ )
                   if ( *dp != 0 && ( *dp >= thr || (absolute && *dp <= -thr) ) )
                   {
                       size++;
                       tmask[c] = 1;
                   }
            }
        }
            break;

        case MRI_int:
        {
            int * dp  = DSET_ARRAY(dset, volume);
            int   thr = (int)(thresh + 0.99999);  /* ceiling */
            for ( c = 0; c < nvox; c++, dp++ )
                if ( *dp != 0 && ( *dp >= thr || (absolute && *dp <= -thr) ) )
                {
                    size++;
                    tmask[c] = 1;
                }
        }
            break;

        case MRI_float:
        {
            float * dp = DSET_ARRAY(dset, volume);
            for ( c = 0; c < nvox; c++, dp++ )
                if (*dp != 0 && (*dp >= thresh || (absolute && *dp <= -thresh)))
                {
                    size++;
                    tmask[c] = 1;
                }
        }
            break;

        default:                /* let's be sure */
        {
            fprintf(stderr,"** tmfb: invalid dataset type, sorry...\n");
            free(tmask);
        }
            break;
    }

    *mask = tmask;

    RETURN(size);
}
Ejemplo n.º 6
0
byte * THD_makemask( THD_3dim_dataset *mask_dset ,
                     int miv , float mask_bot , float mask_top )
{
   float maxval ;  /* for computing limits for an empty mask */
   byte *mmm = NULL ;
   int nvox , ii ;
   int empty = 0 ; /* do we return an empty mask */

   if( !ISVALID_DSET(mask_dset)    ||
       miv < 0                     ||
       miv >= DSET_NVALS(mask_dset)  ) return NULL ;

   nvox = DSET_NVOX(mask_dset) ;

   DSET_load(mask_dset) ; if( !DSET_LOADED(mask_dset) ) return NULL ;

   mmm = (byte *) calloc( sizeof(byte) * nvox , 1 ) ;

   switch( DSET_BRICK_TYPE(mask_dset,miv) ){
      default:
         free(mmm) ; DSET_unload(mask_dset) ; return NULL ;

      case MRI_short:{
         short mbot , mtop ;
         short *mar = (short *) DSET_ARRAY(mask_dset,miv) ;
         float mfac = DSET_BRICK_FACTOR(mask_dset,miv) ;
         if( mfac == 0.0 ) mfac = 1.0 ;
         if( mask_bot <= mask_top ){
            /* maybe this mask is empty, allow for rounding */
            maxval = MRI_TYPE_maxval[MRI_short] + 0.5 ;
            if( mask_bot/mfac >= maxval || mask_top/mfac <= -maxval ) empty=1;

            mbot = SHORTIZE(mask_bot/mfac) ;
            mtop = SHORTIZE(mask_top/mfac) ;
         } else {
            mbot = (short) -MRI_TYPE_maxval[MRI_short] ;
            mtop = (short)  MRI_TYPE_maxval[MRI_short] ;
         }
         if( !empty )   /* 6 Jun 2007 */
            for( ii=0 ; ii < nvox ; ii++ )
               if( mar[ii] >= mbot && mar[ii] <= mtop && mar[ii] != 0 )
                  mmm[ii]=1;
      }
      break ;

      case MRI_byte:{
         byte mbot , mtop ;
         byte *mar = (byte *) DSET_ARRAY(mask_dset,miv) ;
         float mfac = DSET_BRICK_FACTOR(mask_dset,miv) ;
         if( mfac == 0.0 ) mfac = 1.0 ;
         if( mask_bot <= mask_top && mask_top > 0.0 ){
            /* maybe this mask is empty, allow for rounding */
            /* (top <= 0 is flag for full mask)             */
            maxval = MRI_TYPE_maxval[MRI_byte] + 0.5 ;
            if( mask_bot/mfac >= maxval ) empty = 1;

            mbot = BYTEIZE(mask_bot/mfac) ;
            mtop = BYTEIZE(mask_top/mfac) ;
         } else {
            mbot = 0 ;
            mtop = (byte) MRI_TYPE_maxval[MRI_short] ;
         }
         if( !empty )   /* 6 Jun 2007 */
            for( ii=0 ; ii < nvox ; ii++ )
               if( mar[ii] >= mbot && mar[ii] <= mtop && mar[ii] != 0 )
                  mmm[ii]=1;
      }
      break ;

      case MRI_float:{
         float mbot , mtop ;
         float *mar = (float *) DSET_ARRAY(mask_dset,miv) ;
         float mfac = DSET_BRICK_FACTOR(mask_dset,miv) ;
         if( mfac == 0.0 ) mfac = 1.0 ;
         if( mask_bot <= mask_top ){
            mbot = (float) (mask_bot/mfac) ;
            mtop = (float) (mask_top/mfac) ;
         } else {
            mbot = -WAY_BIG ;
            mtop =  WAY_BIG ;
         }
         for( ii=0 ; ii < nvox ; ii++ )
            if( mar[ii] >= mbot && mar[ii] <= mtop && mar[ii] != 0 ) mmm[ii]=1;
      }
      break ;
   }

   return mmm ;
}
Ejemplo n.º 7
0
int THD_makedsetmask( THD_3dim_dataset *mask_dset ,
                     int miv , float mask_bot , float mask_top,
                     byte *cmask )
{
   float maxval ;  /* for computing limits for an empty mask */
   int nvox , ii, nonzero=-1 , empty = 0 ;

   if( !ISVALID_DSET(mask_dset)    ||
       miv < 0                     ||
       miv >= DSET_NVALS(mask_dset)  ) return (-1) ;

   nvox = DSET_NVOX(mask_dset) ;

   DSET_mallocize(mask_dset); /* do this or else it could be a read only dset! */
   DSET_load(mask_dset) ; if( !DSET_LOADED(mask_dset) ) return (-1) ;

   nonzero = 0;
   switch( DSET_BRICK_TYPE(mask_dset,miv) ){
      default:
         DSET_unload(mask_dset) ; return (-1) ;

      case MRI_short:{
         short mbot , mtop ;
         short *mar = (short *) DSET_ARRAY(mask_dset,miv) ;
         float mfac = DSET_BRICK_FACTOR(mask_dset,miv) ;
         if( mfac == 0.0 ) mfac = 1.0 ;
         if( mask_bot <= mask_top ){
            /* maybe this mask is empty, allow for rounding */
            maxval = MRI_TYPE_maxval[MRI_short] + 0.5 ;
            if( mask_bot/mfac >= maxval || mask_top/mfac <= -maxval ) empty=1;

            mbot = SHORTIZE(mask_bot/mfac) ;
            mtop = SHORTIZE(mask_top/mfac) ;
         } else {
            mbot = (short) -MRI_TYPE_maxval[MRI_short] ;
            mtop = (short)  MRI_TYPE_maxval[MRI_short] ;
         }
         if (empty) {  /* if empty, clear result   6 Jun 2007 */
            for( ii=0 ; ii < nvox ; ii++ ) mar[ii] = 0;
         } else if (cmask)  {
            for( ii=0 ; ii < nvox ; ii++ )
               if( mar[ii] >= mbot && mar[ii] <= mtop && mar[ii] != 0 && cmask[ii]) { mar[ii]=1; ++nonzero; }
               else { mar[ii] = 0; }
         } else {
            for( ii=0 ; ii < nvox ; ii++ )
               if( mar[ii] >= mbot && mar[ii] <= mtop && mar[ii] != 0 ) { mar[ii]=1; ++nonzero; }
               else { mar[ii] = 0; }
         }
      }
      break ;

      case MRI_byte:{
         byte mbot , mtop ;
         byte *mar = (byte *) DSET_ARRAY(mask_dset,miv) ;
         float mfac = DSET_BRICK_FACTOR(mask_dset,miv) ;
         if( mfac == 0.0 ) mfac = 1.0 ;
         if( mask_bot <= mask_top && mask_top > 0.0 ){
            /* maybe this mask is empty, allow for rounding */
            /* (top <= 0 is flag for full mask)             */
            maxval = MRI_TYPE_maxval[MRI_byte] + 0.5 ;
            if( mask_bot/mfac >= maxval ) empty = 1;

            mbot = BYTEIZE(mask_bot/mfac) ;
            mtop = BYTEIZE(mask_top/mfac) ;
         } else {
            mbot = 0 ;
            mtop = (byte) MRI_TYPE_maxval[MRI_short] ;
         }
         if (empty) {  /* if empty, clear result   6 Jun 2007 */
            for( ii=0 ; ii < nvox ; ii++ ) mar[ii] = 0;
         } else if (cmask) {
            for( ii=0 ; ii < nvox ; ii++ )
               if( mar[ii] >= mbot && mar[ii] <= mtop && mar[ii] != 0 && cmask[ii]){ mar[ii]=1; ++nonzero; }
               else { mar[ii] = 0; }
         } else {
            for( ii=0 ; ii < nvox ; ii++ )
               if( mar[ii] >= mbot && mar[ii] <= mtop && mar[ii] != 0 ){ mar[ii]=1; ++nonzero; }
               else { mar[ii] = 0; }
         }
      }
      break ;

      case MRI_float:{
         float mbot , mtop ;
         float *mar = (float *) DSET_ARRAY(mask_dset,miv) ;
         float mfac = DSET_BRICK_FACTOR(mask_dset,miv) ;
         if( mfac == 0.0 ) mfac = 1.0 ;
         if( mask_bot <= mask_top ){
            mbot = (float) (mask_bot/mfac) ;
            mtop = (float) (mask_top/mfac) ;
         } else {
            mbot = -WAY_BIG ;
            mtop =  WAY_BIG ;
         }
         if (cmask) {
            for( ii=0 ; ii < nvox ; ii++ )
               if( mar[ii] >= mbot && mar[ii] <= mtop && mar[ii] != 0 && cmask[ii]) { mar[ii]=1; ++nonzero; }
               else { mar[ii] = 0; }
         } else {
            for( ii=0 ; ii < nvox ; ii++ )
               if( mar[ii] >= mbot && mar[ii] <= mtop && mar[ii] != 0 ) { mar[ii]=1; ++nonzero; }
               else { mar[ii] = 0; }
         }
      }
      break ;
   }

   /* remove any scaling factor ZSS April 24 06*/
   EDIT_BRICK_FACTOR(mask_dset,miv , 0.0);

   return (nonzero) ;
}