Hi,
I am a PhD student and faced a problem with Freesurfer, more specially with segmentation. First of all, I did a typical qsub command. However, when I cheked with tkmedit, I saw problems of brainsmask. Indeed, meninges are often considered as grey matter.
I tried these different commands :
1.) setenv SUBJECTS_DIR /path/to/your/data
setenv WATERSHED_PREFLOOD_HEIGHTS '20 30 40 50'
recon-all -multistrip -clean-bm -s <subjid> -no-isrunning
2.) recon-all -skullstrip -clean-bm -gcut -subjid <subjid>
cd $SUBJECTS_DIR/yoursubj/mri/transforms
cp talairach_with_skull.lta bak
cp talairach_with_skull_2.lta talairach_with_skull.lta
recon-all -s yoursubj -skullstrip -clean-bm -clean-lta"
without success I finally used a manual method :
3.) tkmedit skullstrip3_before brainmask.mgz -aux T1.mgz
but the latter is source of error and time-consuming. I've got 105 MRI scans to rectify. Do you have a council to improve le first step of the reconn-all ?
Sincerely Marine Moyon
Hi Marine
the brainmask is just a rough estimate of what is brain and what is not. You don't need to worry if it is not accurate *unless* the lh.pial and/or rh.pial surfaces end up not being accurate because of dura left in the brainmask.
cheers Bruce On Wed, 21 Jun 2017, Lisa Delalande wrote:
Hi,
I am a PhD student and faced a problem with Freesurfer, more specially with segmentation. First of all, I did a typical qsub command. However, when I cheked with tkmedit, I saw problems of brainsmask. Indeed, meninges are often considered as grey matter.
I tried these different commands :
1.) setenv SUBJECTS_DIR /path/to/your/data
setenv WATERSHED_PREFLOOD_HEIGHTS '20 30 40 50'
recon-all -multistrip -clean-bm -s <subjid> -no-isrunning
2.) recon-all -skullstrip -clean-bm -gcut -subjid <subjid>
cd $SUBJECTS_DIR/yoursubj/mri/transforms
cp talairach_with_skull.lta bak
cp talairach_with_skull_2.lta talairach_with_skull.lta
recon-all -s yoursubj -skullstrip -clean-bm -clean-lta"
without success I finally used a manual method :
3.) tkmedit skullstrip3_before brainmask.mgz -aux T1.mgz
but the latter is source of error and time-consuming. I've got 105 MRI scans to rectify. Do you have a council to improve le first step of the reconn-all ?
Sincerely Marine Moyon
Hi Bruce,
Thank you very much for your mail. I am going to specify my question.
In fact, we saw a problem after the recon-all step. The dura was included in the lh.pial and rh.pial. Indeed, the red demarcation included the meninges.
I send you an attachment
Cheers
Marine
2017-06-21 18:51 GMT+02:00 Bruce Fischl fischl@nmr.mgh.harvard.edu:
Hi Marine
the brainmask is just a rough estimate of what is brain and what is not. You don't need to worry if it is not accurate *unless* the lh.pial and/or rh.pial surfaces end up not being accurate because of dura left in the brainmask.
cheers Bruce
On Wed, 21 Jun 2017, Lisa Delalande wrote:
Hi,
I am a PhD student and faced a problem with Freesurfer, more specially with segmentation. First of all, I did a typical qsub command. However, when I cheked with tkmedit, I saw problems of brainsmask. Indeed, meninges are often considered as grey matter.
I tried these different commands :
1.) setenv SUBJECTS_DIR /path/to/your/data
setenv WATERSHED_PREFLOOD_HEIGHTS '20 30 40 50'
recon-all -multistrip -clean-bm -s <subjid> -no-isrunning
2.) recon-all -skullstrip -clean-bm -gcut -subjid <subjid>
cd $SUBJECTS_DIR/yoursubj/mri/transforms
cp talairach_with_skull.lta bak
cp talairach_with_skull_2.lta talairach_with_skull.lta
recon-all -s yoursubj -skullstrip -clean-bm -clean-lta"
without success I finally used a manual method :
3.) tkmedit skullstrip3_before brainmask.mgz -aux T1.mgz
but the latter is source of error and time-consuming. I've got 105 MRI scans to rectify. Do you have a council to improve le first step of the reconn-all ?
Sincerely Marine Moyon
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
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.
I see. Yes, that kind of thing is hard. YOu can try the gcuts skullstripping, which is more aggressive and can sometimes get rid of this kind of thing, but it also is more likely to strip brain. Or manually remove those voxels in the brainmask.mgz
cheers Bruce On Thu, 22 Jun 2017, Lisa Delalande wrote:
Hi Bruce,
Thank you very much for your mail. I am going to specify my question.
In fact, we saw a problem after the recon-all step. The dura was included in the lh.pial and rh.pial. Indeed, the red demarcation included the meninges.
I send you an attachment
Cheers
Marine
2017-06-21 18:51 GMT+02:00 Bruce Fischl fischl@nmr.mgh.harvard.edu: Hi Marine
the brainmask is just a rough estimate of what is brain and what is not. You don't need to worry if it is not accurate *unless* the lh.pial and/or rh.pial surfaces end up not being accurate because of dura left in the brainmask. cheers Bruce On Wed, 21 Jun 2017, Lisa Delalande wrote: Hi, I am a PhD student and faced a problem with Freesurfer, more specially with segmentation. First of all, I did a typical qsub command. However, when I cheked with tkmedit, I saw problems of brainsmask. Indeed, meninges are often considered as grey matter. I tried these different commands : 1.) setenv SUBJECTS_DIR /path/to/your/data setenv WATERSHED_PREFLOOD_HEIGHTS '20 30 40 50' recon-all -multistrip -clean-bm -s <subjid> -no-isrunning 2.) recon-all -skullstrip -clean-bm -gcut -subjid <subjid> cd $SUBJECTS_DIR/yoursubj/mri/transforms cp talairach_with_skull.lta bak cp talairach_with_skull_2.lta talairach_with_skull.lta recon-all -s yoursubj -skullstrip -clean-bm -clean-lta" without success I finally used a manual method : 3.) tkmedit skullstrip3_before brainmask.mgz -aux T1.mgz but the latter is source of error and time-consuming. I've got 105 MRI scans to rectify. Do you have a council to improve le first step of the reconn-all ? Sincerely Marine Moyon
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
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.
freesurfer@nmr.mgh.harvard.edu