Hi,

I'm working with infant (0-30 month) MR data, and iBEAT (MailScanner has detected a possible fraud attempt from "secure-web.cisco.com" claiming to be https://www.nature.com/articles/s41596-023-00806-x) is currently doing a better job than Infant FreeSurfer (MailScanner has detected a possible fraud attempt from "secure-web.cisco.com" claiming to be https://www.sciencedirect.com/science/article/pii/S1053811920304328) at cortical surface recon in this age range. However, I have custom surface ROI atlases on the fsaverage template and would very much like to leverage FreeSurfer's stats tools to map iBEAT subject surfaces to the template and extract stats from my custom ROIs.

To do so, I need to

• Bring my iBEAT VTK surfaces (~47K vertices per hemisphere) into FreeSurfer (mris_convert?)
• Resample the meshes to FS surface resolution (~12.5K vertices per hemi)
• Compute curvature stats on the iBEAT surfaces
• Use mris_surf2surf (or equivalent) to map the resampled iBEAT surface to the fsaverage template using curvature
• Compute/extract anatomical stats from the regions equivalent to the ROIs in my template space atlas.

So far, I tried using mris_convert to bring the VTK into FS format, but when I tried using mris_anatomical_stats, I get errors. Note that I also ran InfantFS on the data, and that I copied the converted (but not downsampled) VTK pial surface from iBEAT to $SUBJECTS_DIR/$subjid/surf/lh.ibeat.pial

It appears this approach is failing due to a difference in meshes (the iBEAT mesh is at a different resolution, with more elements, than the lh.pial from InfantFS).

Any tips for this and the other steps would be a big help!

Thanks,

Jim H.