External Email - Use Caution

Dear Eugenio,

you are right, the surfaces should be fine. “Downstream” may have been the wrong wording: There are other outputs of freesurfer (aparc+aseg.mgz, wm.ngz, wm.seg.mgz, wmparc.mgz,…) that are later used in the processing of other modalities (e.g., ASL, DTI/tractography) and often include the ventricles as an explicit label or a standardized value.

Manually editing only the aseg would mean that all other outputs still contain the undersegmented ventricles, and editing them all separately would create inconsistencies. My question was aimed at a possible way to edit the ventricles once and re-process the other outputs to reflect the changes.

Best wishes!

Anja

From: Iglesias Gonzalez, Juan E. <JIGLESIASGONZALEZ@mgh.harvard.edu>
Date: Monday, August 3, 2026 at 20:35
To: Freesurfer support list <freesurfer@nmr.mgh.harvard.edu>
Subject: [Freesurfer] Re: recon-all-clinical pediatric ventricle segmentation

Dear Anja,

I would argue that, if you manually edit the region, there’s no need to rerun anything downstream since the surfaces won’t be affected, no? All you’d need to do is recomputing the ventricular volume.

Independently: I would quickly run the images (T1 and/of FLAIR) through SynthSeg and see if the ventricles look better. If they do, you can simply take the ventricular masks & volumes from there, right?

Best wishes,

/Eugenio

Juan Eugenio Iglesias

http://www.jeiglesias.com

From: Betz, Anja Katharina <Anja.Betz@med.uni-muenchen.de>
Date: Monday, August 3, 2026 at 11:40 AM
To: freesurfer@nmr.mgh.harvard.edu <freesurfer@nmr.mgh.harvard.edu>
Subject: [Freesurfer] recon-all-clinical pediatric ventricle segmentation

External Email - Use Caution

Good afternoon,

we have acquired a number of pediatric scans (ages 6-18y) on a 3T research MRI scanner. Most likely due to motion artifacts, the regular recon-all pipeline produces (amongst other problems) severe undersegmentation of the gray matter. Instead, we have started using the recon-all-clinical pipeline, which on average seems to produce more accurate results. Our FS version is 8.0.0.

Unfortunately, a reoccurring problem is that the recon-all-clinical workflow often undersegments the ventricles and classifies them as white matter. Two images from two different subjects are attached to show the issue.

Is there a way to remedy this on a pipeline level? I could not find an option to, for example, add an axial FLAIR image to the pipeline.
Alternatively, if we manually edit the region, how can the downstream steps be re-run with recon-all-clinical? I am looking for a pipeline similar to adding control points in the regular recon-all.

Thank you and best wishes!

Anja