Actually the brain mask used on the diffusion data *is* the aparc+aseg mapped to diffusion space, so the reason you see that extra non-brain stuff in the FA map is because the aparc+aseg was not aligned well to it.

So you just need to switch on bbregister and switch off flirt in your configuration file, and then rerun trac-all. If the DWI-to-T1 registration is good, then the masking issue will be solved too.

Good luck!
a.y

On Wed, 27 Mar 2013, Susan Kuo wrote:

Hi Anastasia,   Thank you! I can see that the aparc+aseg spilled over badly. I 
am
going to try bbregister, and then re-betting (Brain Extraction Tool-ing) the 
original
image, since the dtifit_FA looks to include non-brain near the frontal lobe. 
I'll keep
you and the FS community updated on the results, in case anybody is curious. 


Sincerely, 
Susie Kuo
NIH


On Wed, Mar 27, 2013 at 10:41 AM, Anastasia Yendiki 
<ayend...@nmr.mgh.harvard.edu>
wrote:

      Hi Susie - The -tv (tract volume) option of freeview is designed
      specifically to display the merged*.mgz output files of tracula. For a
      regular volume, use -v or no option at all. For best displaying the
      aparc+aseg, select it in freeview and choose "Lookup Table" from the Color
      map menu.

      Hope this helps,
      a.y

      On Wed, 27 Mar 2013, Susan Kuo wrote:

            Hi Anastasia,   I'm attaching the graphic I arrived at with
            the command: 

            > freeview -tv <subjectID>/dlabel/diff/aparc+aseg.flt.nii.gz
            -v
            <subjectID>/dmri/dtifit_FA.nii.gz

            Here, I used the subject I send you (Sa69845.5) for the
            subjectID. I could not detect
            spill over in these images, mostly because the frontal lobe is
            a little cut off. Did
            you perhaps use a different viewer? I'm hoping to be able to
            detect these
            mis-registrations better for myself in the future. Thanks for
            all your help!

            Sincerely, 
            Susie Kuo
            NIH

            On Wed, Mar 27, 2013 at 1:32 AM, Anastasia Yendiki
            <ayend...@nmr.mgh.harvard.edu>
            wrote:

                  Hi Susie - Everything under dlabel/diff is mapped to DWI
            space (either
                  with flirt or with bbregister, whichever you use). The
            one in my
                  screenshot was dlabel/diff/aparc+aseg.flt.nii.gz.

                  a.y

                  On Wed, 27 Mar 2013, Susan Kuo wrote:

                        Hi Anastasia, 
                          I see what you mean. I had previously used the
                        dtifit_FA.nii.gz image and
                        overlaid that with the aparc+aseg+2mm.nii.gz image
            in
                        /dlabel/diff, using
                        freeview. I didn't end up with the same images as
            you,
                        however. Can you tell
                        me which images you used to obtain this overlay? 

                          I am going to run bbregister tonight, and I'll
            let you know
                        how it goes --
                        I'm hopeful! 

                        Thank you again!

                        Susie Kuo
                        NIH

                        On Tue, Mar 26, 2013 at 5:35 PM, Anastasia Yendiki
                        <ayend...@nmr.mgh.harvard.edu> wrote:

                              Hi Susie - I'm attaching a snapshot from
            your subject,
                        showing
                              the aparc+aseg overlaid on the FA map. The
            registration
                        has
                              failed. The frontal lobe has spilled out of
            the brain,
                        the white
                              matter has spilled into the ventricles.

                              I strongly recommend using bbregister for
            the
                        intra-subject
                              registration, which is the default in the
            latest version
                        of
                              trac-all.

                              Hope this helps,
                              a.y

                              On Tue, 26 Mar 2013, Susan Kuo wrote:

                                    Hi Anastasia,   I did as you
            recommended and
                        checked
                                    the diffusion-to-anatomical
                                    registration, and the overlay of
            aparc+aseg_mask
                        on
                                    FA, and these views seem to be
                                    good. Upon closer inspection, what I
            find is that
                                    there are incipient 'bits' of all
                                    the tracts, but they seem to not have
            'grown',
                                    though they are in the proper space
                                    (comparing them to good brains that
            yielded the
                        full
                                    complement of tracts). Is there a
                                    configuration in your TRACULA that
            controls the
                                    growing of the tracts specifically?
                                    Perhaps I should look into that. 

                                      Thank you, btw, for your very prompt
            reply
                                    yesterday- it was much appreciated!


                                    Sincerely, 
                                    Susie Kuo
                                    NIH

                                    On Mon, Mar 25, 2013 at 4:58 PM,
            Anastasia Yendiki
                                    <ayend...@nmr.mgh.harvard.edu>
                                    wrote:

                                          Hi Susan - Good to hear that you
            get good
                                    results for most of your
                                          subjects. Have you checked the
            aparc+aseg
                        and
                                    the diffusion-to-anatomical
                                          registration for the subjects
            that are
                                    failing? I'd check the
                                          aparc+aseg_mask (in the
            dlabel/diff
                        directory)
                                    over the FA map to see if
                                          there are any holes or
            misregistration.

                                          a.y

                                          On Mon, 25 Mar 2013, Susan Kuo
            wrote:

                                                Hi FreeSurfers and
            Anastasia,  
                        TRACULA
                                    is working great for
                                                me, generating tracts for
            a sample of
                        20
                                    subject
                                                brains I'm working with.
            However, for
                        3
                                    of the brains, I'm
                                                receiving incomplete and
            poorly formed
                                    tracts.
                                                I've re-run trac-all at
            least 2x on
                        each
                                    subject in case there
                                                was a mistake in my
            original
                                    configuration.
                                                However, I am reproducing
            the same
                                    results. Does anybody have
                                                an idea why I would see
            these "spotty"
                                    tracts? 


                                                Thank you for all your
            help! 

                                                --
                                                Susie Kuo
                                                NIH




                                    The information in this e-mail is
            intended only
                        for
                                    the person to whom it is
                                    addressed. If you believe this e-mail
            was sent to
                                    you in error and the e-mail
                                    contains patient information, please
            contact the
                                    Partners Compliance HelpLine at
                                    http://www.partners.org/complianceline
            . If the
                                    e-mail was sent to you in error
                                    but does not contain patient
            information, please
                                    contact the sender and properly
                                    dispose of the e-mail.




                                    --
                                    Susie Kuo

                                    Mediocrity knows nothing higher than
            itself, but
                                    talent instantly recognizes genius. -
                                    Sir Arthur Conan Doyle, Sherlock
            Holmes- Valley of
                                    Fear




                        --
                        Susie Kuo

                        Mediocrity knows nothing higher than itself, but
            talent
                        instantly recognizes
                        genius. - Sir Arthur Conan Doyle, Sherlock Holmes-
            Valley of
                        Fear




            --
            Susie Kuo

            Mediocrity knows nothing higher than itself, but talent
            instantly recognizes genius. -
            Sir Arthur Conan Doyle, Sherlock Holmes- Valley of Fear




--
Susie Kuo

Mediocrity knows nothing higher than itself, but talent instantly recognizes 
genius. -
Sir Arthur Conan Doyle, Sherlock Holmes- Valley of Fear

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