I would recommend the norm.mgz as it should be scaled so that the WM is
110 and bias fields would have been (mostly) removed.
On 11/12/2024 12:06 AM, Sandhitsu Das wrote:
External Email - Use Caution
We want to perform appearance-based analysis that also takes advantage
of automated outputs, especially segmentations. For this, we have
considered different options: raw image, orig.mgz, norm.mgz, T1.mgz,
in addition to whether to use base or long pipeline images. There are
competing considerations of some intensity normalization being
helpful, and at the same time avoiding heavy pre-processing. Are there
any recommendations from folks who might have done analysis like this ?
_______________________________________________
Freesurfer mailing list
Freesurfer@nmr.mgh.harvard.edu
https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
_______________________________________________
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 Mass General Brigham
Compliance HelpLine at https://www.massgeneralbrigham.org/complianceline
<https://www.massgeneralbrigham.org/complianceline> .
Please note that this e-mail is not secure (encrypted). If you do not wish to
continue communication over unencrypted e-mail, please notify the sender of
this message immediately. Continuing to send or respond to e-mail after
receiving this message means you understand and accept this risk and wish to
continue to communicate over unencrypted e-mail.