I would check the mri_em_register registrations of the step that
immediately precedes mri_watershed (and produces
talairach_with_skull.lta).  We found that most of the variability and
failures occurred in this step, and mri_watershed itself is a very robust
brain extraction algorithm when it is given an accurate registration (my
experience with BET is that it is probably not the best tool for getting
very accurate brainmasks and sometimes takes away too much). I would
recommend using the BET extracted image instead of the image with skull
for the initial registration step, and then you can use mri_watershed on
the original image and get good results every time.  This is the type of
strategy we use in the HCP Pipelines (except we use something more robust
than BET for the initial mask).

Note that the "talairach" registration (done by the -talairach step with
the talairach_avi tool) has nothing to do with the registration that
precedes brain extraction.  Perhaps it should is more robust and should be
used, but the affine would have to be converted to the correct format.

Peace,

Matt.

On 3/6/13 3:53 PM, "Bruce Fischl" <fis...@nmr.mgh.harvard.edu> wrote:

>you can use
>
>mri_convert -rl ...
>
>to reslice the output of bet so that it has the same geometry as the rest
>of our stream
>
>cheers
>Bruce
>
>On Wed, 6 Mar 2013, Winter, Warren wrote:
>
>> Hi again,
>> We have had some suboptimal results from FreeSurfer's skullstripping
>>algorithm, even after iteratively trying different
>> watershed thresholds and after checking the quality of Talairach
>>registration.  The results are pretty good, but often leave
>> some dura matter and bits of neck behind whose higher intensity values,
>>I believe, may end up skewing recon-all's later
>> estimation of the range of intensity values within grey matter, and
>>consequently compromising the accuracy of pial surface
>> estimation.
>> 
>> FSL's BET, however, seems to do a better job of extracting the brain,
>>at least for our dataset.  So, I was wondering if I
>> might be able to skip over mri_watershed and feed autorecon2 and
>>autorecon3 a brainmask.mgz file created using BET.  I tried
>> this procedure:
>> 
>> 
>> 1) mri_convert <path/to/T1dcm> T1.nii.gz
>> 2) bet T1.nii.gz BET_brainmask.nii.gz -A
>> 3) mri_convert BET_brainmask.nii.gz BET_brainmask.mgz
>> 4) recon-all -s <subjid> -autorecon1 -noskullstrip
>> 5) mv BET_brainmask.nii.gz ./<subjid>/mri/brainmask.mgz
>> 6) recon-all -s <subjid> -autorecon2 -autorecon3
>> 
>> And I got this error message, right after normalization2:
>> 
>> "
>> #@# Mask BFS Tue Mar  5 22:52:05 EST 2013
>> 
>>/net/rc-fs-nfs/ifs/data/Shares/DMC-Sheridan2/projects/FOCUS/FreeSurfer/20
>>12_bet/mri
>> 
>>  mri_mask -T 5 brain.mgz brainmask.mgz brain.finalsurfs.mgz
>> 
>> threshold mask volume at 5
>> ERROR: dimension mismatch between source and mask
>> Linux rc-thunderball 3.2.21-mosix #1 SMP Mon Jul 2 08:55:48 EDT 2012
>>x86_64 x86_64 x86_64 GNU/Linux
>> 
>> recon-all -s 2012_bet exited with ERRORS at Tue Mar  5 22:52:06 EST 2013
>> "
>> 
>> I'm guessing that the dimensions of norm.mgz and aseg.mgz didn't match
>>those of brainmask.mgz, resulting during normalization2
>> in a mismatch between brain.mgz and brainmask.mgz.  Does that seem
>>right, and is there a possible workaround?
>> 
>> Thank you!
>> 
>> Warren
>> 
>> --
>> Warren Winter
>> Research Coordinator
>> Boston Children's Hospital
>> Sheridan Laboratory of Cognitive Neuroscience
>> Division of Developmental Medicine
>> 1 Autumn Street, AU 650
>> Boston, MA 02215
>> 857-218-5224
>> 
>> 
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