# FreeSurfer SUBJECTS_DIR # T1 images and FreeSurfer segmentations are expected to be found here #_____________________________________________________ setenv SUBJECTS_DIR /cluster/guptagp/Emad/3LT/subjDir setenv RAW_DATA /cluster/guptagp/Emad/3LT/rawData #_____________________________________________________ # Output directory where trac-all results will be saved # Default: Same as SUBJECTS_DIR # #set dtroot = /path/to/tracts/of/ducks # Subject IDs (one per time point per subject) #_____________________________________________________ set subjlist = ( 2a \ 2b \ 3a \ 3b ) #_____________________________________________________ # Longitudinal base template subject IDs (one for each time point above) #_____________________________________________________ set baselist = ( 2tem \ 2tem \ 3tem \ 3tem ) #_____________________________________________________ # In case you want to analyze only Huey and Louie # Default: Run analysis on all time points and subjects # #set runlist = (1 2 5 6) # Input diffusion DICOMs (file names relative to dcmroot) # If original DICOMs don't exist, these can be in other image format # but then the gradient table and b-value table must be specified (see below) #_____________________________________________________ set dcmroot = $RAW_DATA set dcmlist = ( 2a/Diffusion/IM-0001-0001.dcm \ 2b/Diffusion/IM-0001-0001.dcm \ 3a/Diffusion/IM-0001-0001.dcm \ 3b/Diffusion/IM-0003-0001.dcm ) #_____________________________________________________ # Diffusion gradient tables (if there is a different one for each scan) # Must be specified if inputs are not MGH DICOMs # The tables must have either three columns, where each row is a gradient vector # or three rows, where each column is a gradient vector # There must be as many gradient vectors as volumes in the diffusion data set # Default: Read from DICOM header #_____________________________________________________ set bveclist = (/cluster/guptagp/Emad/3LT/subjDir/codes/bvecXinv.txt \ /cluster/guptagp/Emad/3LT/subjDir/codes/bvecXinv.txt \ /cluster/guptagp/Emad/3LT/subjDir/codes/bvecXinv.txt \ /cluster/guptagp/Emad/3LT/subjDir/codes/bvecXinv.txt) #_____________________________________________________ # Diffusion gradient table (if using the same one for all scans) # Must be specified if inputs are not MGH DICOMs # The table must have either three columns, where each row is a gradient vector # or three rows, where each column is a gradient vector # There must be as many gradient vectors as volumes in the diffusion data set # Default: Read from DICOM header #_____________________________________________________ #set bvecfile = /cluster/guptagp/Emad/3LT/subjDir/codes/bvecXinv.txt #_____________________________________________________ # Diffusion b-value table # Must be specified if inputs are not MGH DICOMs # There must be as many b-values as volumes in the diffusion data set # Default: Read from DICOM header #_____________________________________________________ set bvalfile = /cluster/guptagp/Emad/3LT/subjDir/codes/bval.txt #_____________________________________________________ # Perform registration-based B0-inhomogeneity compensation? # Default: 0 (no) # #set dob0 = 1 # Input B0 field map magnitude DICOMs (file names relative to dcmroot) # Only used if dob0 = 1 # Default: None # #set b0mlist = ( huey/year1/fmag/XXX-1.dcm \ huey/year2/fmag/XXX-1.dcm \ dewey/year1/fmag/XXX-1.dcm \ dewey/year2/fmag/XXX-1.dcm \ louie/year1/fmag/XXX-1.dcm \ louie/year2/fmag/XXX-1.dcm ) # Input B0 field map phase DICOMs (file names relative to dcmroot) # Only used if dob0 = 1 # Default: None # #set b0plist = ( huey/year1/fphas/XXX-1.dcm \ huey/year2/fphas/XXX-1.dcm \ dewey/year1/fphas/XXX-1.dcm \ dewey/year2/fphas/XXX-1.dcm \ louie/year1/fphas/XXX-1.dcm \ louie/year2/fphas/XXX-1.dcm ) # Echo spacing for field mapping sequence (from sequence printout) # Only used if dob0 = 1 # Default: None # #set echospacing = 0.7 # Perform registration-based eddy-current compensation? # Default: 1 (yes) # #set doeddy = 1 # Rotate diffusion gradient vectors to match eddy-current compensation? # Only used if doeddy = 1 # Default: 1 (yes) # #set dorotbvecs = 1 # Fractional intensity threshold for BET mask extraction from low-b images # This mask is used only if usemaskanat = 0 # Default: 0.3 # #set thrbet = 0.5 # Perform diffusion-to-T1 registration by flirt? # Default: 0 (no) # set doregflt = 1 # Perform diffusion-to-T1 registration by bbregister? # Default: 1 (yes) # set doregbbr = 0 # Perform registration of T1 to MNI template? # Default: 1 (yes) # #set doregmni = 1 # MNI template # Only used if doregmni = 1 # Default: $FSLDIR/data/standard/MNI152_T1_1mm_brain.nii.gz # #set mnitemp = /path/to/mni_template.nii.gz # Perform registration of T1 to CVS template? # Default: 0 (no) # #set doregcvs = 0 # CVS template subject ID # Only used if doregcvs = 1 # Default: cvs_avg35 # #set cvstemp = donald # Parent directory of the CVS template subject # Only used if doregcvs = 1 # Default: $FREESURFER_HOME/subjects # #set cvstempdir = /path/to/cvs/atlases/of/ducks # Use brain mask extracted from T1 image instead of low-b diffusion image? # Has no effect if there is no T1 data # Default: 1 (yes) # #set usemaskanat = 1 # Paths to reconstruct # Default: All paths in the atlas # #set pathlist = ( lh.cst_AS rh.cst_AS \ lh.unc_AS rh.unc_AS \ lh.ilf_AS rh.ilf_AS \ fmajor_PP fminor_PP \ lh.atr_PP rh.atr_PP \ lh.ccg_PP rh.ccg_PP \ lh.cab_PP rh.cab_PP \ lh.slfp_PP rh.slfp_PP \ lh.slft_PP rh.slft_PP ) # Number of path control points # It can be a single number for all paths or a different number for each of the # paths specified in pathlist # Default: 7 for the forceps major, 6 for the corticospinal tract, # 4 for the angular bundle, and 5 for all other paths # #set ncpts = (6 6 5 5 5 5 7 5 5 5 5 5 4 4 5 5 5 5) # List of training subjects # This text file lists the locations of training subject directories # Default: $FREESURFER_HOME/trctrain/trainlist.txt # #set trainfile = $FREESURFER_HOME/trctrain/trainlist.txt # Number of "sticks" (anisotropic diffusion compartments) in the bedpostx # ball-and-stick model # Default: 2 # #set nstick = 2 # Number of MCMC burn-in iterations # (Path samples drawn initially by MCMC algorithm and discarded) # Default: 200 # #set nburnin = 200 # Number of MCMC iterations # (Path samples drawn by MCMC algorithm and used to estimate path distribution) # Default: 7500 # #set nsample = 7500 # Frequency with which MCMC path samples are retained for path distribution # Default: 5 (keep every 5th sample) # #set nkeep = 5 # Reinitialize path reconstruction? # This is an option of last resort, to be used only if one of the reconstructed # pathway distributions looks like a single curve. This is a sign that the # initial guess for the pathway was problematic, perhaps due to poor alignment # between the individual and the atlas. Setting the reinit parameter to 1 and # rerunning "trac-all -prior" and "trac-all -path", only for the specific # subjects and pathways that had this problem, will attempt to reconstruct them # with a different initial guess. # Default: 0 (do not reinitialize) # #set reinit = 0