Hi Alessia - I'm not sure what you're referring to as "the dti mask". Can you give me the file name of the image that you're displaying in the screehshot? It does look like noise.

Thanks,
a.y

On Wed, 21 Nov 2012, Alessia Sarica wrote:

Dear Freesurfer Users,I'm a Ph.D. Student and I'm working on tractography using 
Tracula, 
with the aim of conducting statistical analysis on the FA values.

I have a cohort of 18 Amyotrophic Lateral Sclerosis Patients, and i'm doing all 
the process phases,
starting from recon-all, ending to trac-all path.

I've attached a text file with info about DTI DICOM extracted by ImageJ.

Now, my problem is about the dti mask, as you can see on the attached image, a 
pixelated one is obtained,
even if
the left and right cst tracts seem good. This problem only occurs in few 
patients, not in all of them, even
if the script
is the same for all.

This is the script i'm using:

      #Patient_name
      setenv SUBJECTS_DIR $TUTORIAL_DATA/Patient_recons
      set dtroot = $TUTORIAL_DATA/Patient_tracula
      set subjlist = (Patient_name)
      set runlist = (1)
      set dcmroot = $TUTORIAL_DATA/Patient_tracula
      set dcmlist = (Patient_name/orig/MR000000)
      set bvalfile = 
$TUTORIAL_DATA/Patient_tracula/Patient_name/bfiles/Patient_name.bval
      set bvecfile = 
$TUTORIAL_DATA/Patient_tracula/Patient_name/bfiles/Patient_name.bvec
      set nb0 = 1
      set dob0 = 0
      set doeddy = 1
      set dorotbvecs = 1
      set usemaskanat = 0
      set thrbet = 0.3
      set doregflt = 1
      set doregbbr = 0
      set doregmni = 1
      set mnitemp = $FSLDIR/data/standard/MNI152_T1_1mm_brain.nii.gz
      set pathlist = (lh.cst_AS rh.cst_AS \
      lh.ilf_AS rh.ilf_AS \
                       lh.unc_AS rh.unc_AS \
      fmajor_PP fminor_PP \
      lh.atr_PP rh.atr_PP \
      lh.cab_PP rh.cab_PP \
      lh.ccg_PP rh.ccg_PP \
      lh.slfp_PP rh.slfp_PP \
      lh.slft_PP rh.slft_PP)
       
      set ncpts = 5
      set nburnin = 200
      set usetrunc = 1
      set nkeep = 5
      set nsample = 5000


I want to highlight that bval and bvec files are obtained from the tool 
dicom2nift, because Tracula is not
able to extract them from DICOM header.
I will really appreciate your help.

Best regards,
Alessia.


--
Alessia Sarica
Ph.D. Student Biomedical and Informatics Engineering,
Bioinformatics Laboratory, Department of Surgical and Medical Sciences,
University "Magna Græcia" of Catanzaro,
Viale Europa (Località Germaneto), 88100 CATANZARO, ITALY.
Phone: +3909613694193

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