Hello,
We have assessed freesurfer output for 160+ brains, and about 50% have poor segmentation of pial matter that includes too much skull. Manual edits and re-running does work to improve the problem, but is very time/labor intensive for so many scans.
I saw on the freesurfer wiki that you can include T2 or Flair images to improve the segmentation for this problem. However, we do not have these extra scans. What do you recommend to do otherwise?
Thank you!
Hi Michelle
you can try using the graph cuts skull stripping. It is more aggressive and more likely to remove more skull/dura (and also to remove some brain)
cheers Bruce On Mon, 12 Jun 2017, Michelle VanTieghem wrote:
Hello, We have assessed freesurfer output for 160+ brains, and about 50% have poor segmentation of pial matter that includes too much skull. Manual edits and re-running does work to improve the problem, but is very time/labor intensive for so many scans.
I saw on the freesurfer wiki that you can include T2 or Flair images to improve the segmentation for this problem. However, we do not have these extra scans. What do you recommend to do otherwise?
Thank you!
-- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu
Hi,
Thanks for your response. Maybe I am missing something, but I haven't been able to find any documentation about how to use graph cuts skull stripping in the freesurfer pipeline. can you please advise?
Thanks, Michelle
On Mon, Jun 12, 2017 at 2:48 PM, Bruce Fischl fischl@nmr.mgh.harvard.edu wrote:
Hi Michelle
you can try using the graph cuts skull stripping. It is more aggressive and more likely to remove more skull/dura (and also to remove some brain)
cheers Bruce
On Mon, 12 Jun 2017, Michelle VanTieghem wrote:
Hello,
We have assessed freesurfer output for 160+ brains, and about 50% have poor segmentation of pial matter that includes too much skull. Manual edits and re-running does work to improve the problem, but is very time/labor intensive for so many scans.
I saw on the freesurfer wiki that you can include T2 or Flair images to improve the segmentation for this problem. However, we do not have these extra scans. What do you recommend to do otherwise?
Thank you!
-- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu
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.
-gcut should do the trick
cheers Bruce On Mon, 12 Jun 2017, Michelle VanTieghem wrote:
Hi, Thanks for your response. Maybe I am missing something, but I haven't been able to find any documentation about how to use graph cuts skull stripping in the freesurfer pipeline. can you please advise?
Thanks, Michelle
On Mon, Jun 12, 2017 at 2:48 PM, Bruce Fischl fischl@nmr.mgh.harvard.edu wrote: Hi Michelle
you can try using the graph cuts skull stripping. It is more aggressive and more likely to remove more skull/dura (and also to remove some brain) cheers Bruce On Mon, 12 Jun 2017, Michelle VanTieghem wrote: Hello, We have assessed freesurfer output for 160+ brains, and about 50% have poor segmentation of pial matter that includes too much skull. Manual edits and re-running does work to improve the problem, but is very time/labor intensive for so many scans. I saw on the freesurfer wiki that you can include T2 or Flair images to improve the segmentation for this problem. However, we do not have these extra scans. What do you recommend to do otherwise? Thank you! -- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu
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.
-- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu
Hi Bruce,
The -gcut does not appear to make any difference on our skull stripping. I also saw that you can change flags for watershed option. Do you recommend this? If so, how would you implement this on freesurfer output that was already run?
We achieve fairly good skull stripping with this dataset using afni's skullstrip function. Would it be possible to enter the already-skull stripped data into freesurfer? if so, how would you set this up? Right now, I am entering the original dicom files as input to freesurfer -- is it possible to use other file formats as input?
Thanks! Michelle
On Mon, Jun 12, 2017 at 4:49 PM, Bruce Fischl fischl@nmr.mgh.harvard.edu wrote:
-gcut should do the trick
cheers Bruce On Mon, 12 Jun 2017, Michelle VanTieghem wrote:
Hi,
Thanks for your response. Maybe I am missing something, but I haven't been able to find any documentation about how to use graph cuts skull stripping in the freesurfer pipeline. can you please advise?
Thanks, Michelle
On Mon, Jun 12, 2017 at 2:48 PM, Bruce Fischl <fischl@nmr.mgh.harvard.edu
wrote: Hi Michelle
you can try using the graph cuts skull stripping. It is more aggressive and more likely to remove more skull/dura (and also to remove some brain) cheers Bruce On Mon, 12 Jun 2017, Michelle VanTieghem wrote: Hello, We have assessed freesurfer output for 160+ brains, and about 50% have poor segmentation of pial matter that includes too much skull. Manual edits and re-running does work to improve the problem, but is very time/labor intensive for so many scans. I saw on the freesurfer wiki that you can include T2 or Flair images to improve the segmentation for this problem. However, we do not have these extra scans. What do you recommend to do otherwise? Thank you! -- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu
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.
-- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu
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.
sure, you can use whatever format we support - we will recognize it by the extension (e.g. .nii or .nii.gz).
cheers Bruce On Tue, 27 Jun 2017, Michelle VanTieghem wrote:
Hi Bruce, The -gcut does not appear to make any difference on our skull stripping. I also saw that you can change flags for watershed option. Do you recommend this? If so, how would you implement this on freesurfer output that was already run?
We achieve fairly good skull stripping with this dataset using afni's skullstrip function. Would it be possible to enter the already-skull stripped data into freesurfer? if so, how would you set this up? Right now, I am entering the original dicom files as input to freesurfer -- is it possible to use other file formats as input?
Thanks! Michelle
On Mon, Jun 12, 2017 at 4:49 PM, Bruce Fischl fischl@nmr.mgh.harvard.edu wrote: -gcut should do the trick
cheers Bruce On Mon, 12 Jun 2017, Michelle VanTieghem wrote: Hi, Thanks for your response. Maybe I am missing something, but I haven't been able to find any documentation about how to use graph cuts skull stripping in the freesurfer pipeline. can you please advise? Thanks, Michelle On Mon, Jun 12, 2017 at 2:48 PM, Bruce Fischl <fischl@nmr.mgh.harvard.edu> wrote: Hi Michelle you can try using the graph cuts skull stripping. It is more aggressive and more likely to remove more skull/dura (and also to remove some brain) cheers Bruce On Mon, 12 Jun 2017, Michelle VanTieghem wrote: Hello, We have assessed freesurfer output for 160+ brains, and about 50% have poor segmentation of pial matter that includes too much skull. Manual edits and re-running does work to improve the problem, but is very time/labor intensive for so many scans. I saw on the freesurfer wiki that you can include T2 or Flair images to improve the segmentation for this problem. However, we do not have these extra scans. What do you recommend to do otherwise? Thank you! -- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu _______________________________________________ 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. -- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu
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.
-- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu
Hello,
I am just following up on this question.
Thanks! Michelle
On Tue, Jun 27, 2017 at 4:46 PM, Michelle VanTieghem < michelle.vantieghem@gmail.com> wrote:
Hi Bruce,
The -gcut does not appear to make any difference on our skull stripping. I also saw that you can change flags for watershed option. Do you recommend this? If so, how would you implement this on freesurfer output that was already run?
We achieve fairly good skull stripping with this dataset using afni's skullstrip function. Would it be possible to enter the already-skull stripped data into freesurfer? if so, how would you set this up? Right now, I am entering the original dicom files as input to freesurfer -- is it possible to use other file formats as input?
Thanks! Michelle
On Mon, Jun 12, 2017 at 4:49 PM, Bruce Fischl fischl@nmr.mgh.harvard.edu wrote:
-gcut should do the trick
cheers Bruce On Mon, 12 Jun 2017, Michelle VanTieghem wrote:
Hi,
Thanks for your response. Maybe I am missing something, but I haven't been able to find any documentation about how to use graph cuts skull stripping in the freesurfer pipeline. can you please advise?
Thanks, Michelle
On Mon, Jun 12, 2017 at 2:48 PM, Bruce Fischl < fischl@nmr.mgh.harvard.edu> wrote: Hi Michelle
you can try using the graph cuts skull stripping. It is more aggressive and more likely to remove more skull/dura (and also to remove some brain) cheers Bruce On Mon, 12 Jun 2017, Michelle VanTieghem wrote: Hello, We have assessed freesurfer output for 160+ brains, and about 50% have poor segmentation of pial matter that includes too much skull. Manual edits and re-running does work to improve the problem, but is very time/labor intensive for so many scans. I saw on the freesurfer wiki that you can include T2 or Flair images to improve the segmentation for this problem. However, we do not have these extra scans. What do you recommend to do otherwise? Thank you! -- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu
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.
-- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu
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.
-- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu
Hi Michelle
yes, you can try putting already stripped data through, or I think if you convert the afni skull stripped volume to $subject/mri/brainmask.mgz recon-all should recognize that it is different from the auto stripping and use it instead
cheers Bruce
On Tue, 4 Jul 2017, Michelle VanTieghem wrote:
Hello, I am just following up on this question.
Thanks! Michelle
On Tue, Jun 27, 2017 at 4:46 PM, Michelle VanTieghem michelle.vantieghem@gmail.com wrote: Hi Bruce, The -gcut does not appear to make any difference on our skull stripping. I also saw that you can change flags for watershed option. Do you recommend this? If so, how would you implement this on freesurfer output that was already run?
We achieve fairly good skull stripping with this dataset using afni's skullstrip function. Would it be possible to enter the already-skull stripped data into freesurfer? if so, how would you set this up? Right now, I am entering the original dicom files as input to freesurfer -- is it possible to use other file formats as input?
Thanks! Michelle
On Mon, Jun 12, 2017 at 4:49 PM, Bruce Fischl fischl@nmr.mgh.harvard.edu wrote: -gcut should do the trick
cheers Bruce On Mon, 12 Jun 2017, Michelle VanTieghem wrote: Hi, Thanks for your response. Maybe I am missing something, but I haven't been able to find any documentation about how to use graph cuts skull stripping in the freesurfer pipeline. can you please advise? Thanks, Michelle On Mon, Jun 12, 2017 at 2:48 PM, Bruce Fischl <fischl@nmr.mgh.harvard.edu> wrote: Hi Michelle you can try using the graph cuts skull stripping. It is more aggressive and more likely to remove more skull/dura (and also to remove some brain) cheers Bruce On Mon, 12 Jun 2017, Michelle VanTieghem wrote: Hello, We have assessed freesurfer output for 160+ brains, and about 50% have poor segmentation of pial matter that includes too much skull. Manual edits and re-running does work to improve the problem, but is very time/labor intensive for so many scans. I saw on the freesurfer wiki that you can include T2 or Flair images to improve the segmentation for this problem. However, we do not have these extra scans. What do you recommend to do otherwise? Thank you! -- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu _______________________________________________ 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. -- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu
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.
-- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu
-- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu
Hi, I am just following up on my previous question.
The -gcut does not appear to make any difference on our skull stripping. I also saw that you can change flags for watershed option. Do you recommend this? If so, how would you implement this on freesurfer output that was already run?
We achieve fairly good skull stripping with this dataset using afni's skullstrip function. Would it be possible to enter the already-skull stripped data into freesurfer? if so, how would you set this up? Right now, I am entering the original dicom files as input to freesurfer -- is it possible to use other file formats as input?
Thanks!
On Tue, Jul 4, 2017 at 12:43 PM, Michelle VanTieghem < michelle.vantieghem@gmail.com> wrote:
Hello,
I am just following up on this question.
Thanks! Michelle
On Tue, Jun 27, 2017 at 4:46 PM, Michelle VanTieghem < michelle.vantieghem@gmail.com> wrote:
Hi Bruce,
The -gcut does not appear to make any difference on our skull stripping. I also saw that you can change flags for watershed option. Do you recommend this? If so, how would you implement this on freesurfer output that was already run?
We achieve fairly good skull stripping with this dataset using afni's skullstrip function. Would it be possible to enter the already-skull stripped data into freesurfer? if so, how would you set this up? Right now, I am entering the original dicom files as input to freesurfer -- is it possible to use other file formats as input?
Thanks! Michelle
On Mon, Jun 12, 2017 at 4:49 PM, Bruce Fischl <fischl@nmr.mgh.harvard.edu
wrote:
-gcut should do the trick
cheers Bruce On Mon, 12 Jun 2017, Michelle VanTieghem wrote:
Hi,
Thanks for your response. Maybe I am missing something, but I haven't been able to find any documentation about how to use graph cuts skull stripping in the freesurfer pipeline. can you please advise?
Thanks, Michelle
On Mon, Jun 12, 2017 at 2:48 PM, Bruce Fischl < fischl@nmr.mgh.harvard.edu> wrote: Hi Michelle
you can try using the graph cuts skull stripping. It is more aggressive and more likely to remove more skull/dura (and also to remove some brain) cheers Bruce On Mon, 12 Jun 2017, Michelle VanTieghem wrote: Hello, We have assessed freesurfer output for 160+ brains, and about 50% have poor segmentation of pial matter that includes too much skull. Manual edits and re-running does work to improve the problem, but is very time/labor intensive for so many scans. I saw on the freesurfer wiki that you can include T2 or Flair images to improve the segmentation for this problem. However, we do not have these extra scans. What do you recommend to do otherwise? Thank you! -- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu
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.
-- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu
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.
-- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu
-- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu
I think if you convert the afni's skull stripping to .mgz format and put it in mri/brainmask.mgz we will recognize that it is different from brainmask.auto.mgz and use it instead
cheers Bruce On Wed, 12 Jul 2017, Michelle VanTieghem wrote:
Hi, I am just following up on my previous question.
The -gcut does not appear to make any difference on our skull stripping. I also saw that you can change flags for watershed option. Do you recommend this? If so, how would you implement this on freesurfer output that was already run?
We achieve fairly good skull stripping with this dataset using afni's skullstrip function. Would it be possible to enter the already-skull stripped data into freesurfer? if so, how would you set this up? Right now, I am entering the original dicom files as input to freesurfer -- is it possible to use other file formats as input?
Thanks!
On Tue, Jul 4, 2017 at 12:43 PM, Michelle VanTieghem michelle.vantieghem@gmail.com wrote: Hello, I am just following up on this question.
Thanks! Michelle
On Tue, Jun 27, 2017 at 4:46 PM, Michelle VanTieghem michelle.vantieghem@gmail.com wrote: Hi Bruce, The -gcut does not appear to make any difference on our skull stripping. I also saw that you can change flags for watershed option. Do you recommend this? If so, how would you implement this on freesurfer output that was already run?
We achieve fairly good skull stripping with this dataset using afni's skullstrip function. Would it be possible to enter the already-skull stripped data into freesurfer? if so, how would you set this up? Right now, I am entering the original dicom files as input to freesurfer -- is it possible to use other file formats as input?
Thanks! Michelle
On Mon, Jun 12, 2017 at 4:49 PM, Bruce Fischl fischl@nmr.mgh.harvard.edu wrote: -gcut should do the trick
cheers Bruce On Mon, 12 Jun 2017, Michelle VanTieghem wrote: Hi, Thanks for your response. Maybe I am missing something, but I haven't been able to find any documentation about how to use graph cuts skull stripping in the freesurfer pipeline. can you please advise? Thanks, Michelle On Mon, Jun 12, 2017 at 2:48 PM, Bruce Fischl <fischl@nmr.mgh.harvard.edu> wrote: Hi Michelle you can try using the graph cuts skull stripping. It is more aggressive and more likely to remove more skull/dura (and also to remove some brain) cheers Bruce On Mon, 12 Jun 2017, Michelle VanTieghem wrote: Hello, We have assessed freesurfer output for 160+ brains, and about 50% have poor segmentation of pial matter that includes too much skull. Manual edits and re-running does work to improve the problem, but is very time/labor intensive for so many scans. I saw on the freesurfer wiki that you can include T2 or Flair images to improve the segmentation for this problem. However, we do not have these extra scans. What do you recommend to do otherwise? Thank you! -- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu _______________________________________________ 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. -- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu
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.
-- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu
-- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu
-- Michelle VanTieghem PhD student in Psychology Developmental Affective Neuroscience Lab Columbia University mrv2115@columbia.edu
freesurfer@nmr.mgh.harvard.edu
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Bruce Fischl -
Michelle VanTieghem