We will need to update the pipelines to work with FreeSurfer 6.0 when it is 
released.  Earlier versions of FreeSurfer did required the current approach to 
get highres surface placement.  Your approach is probably fine if it is 
producing nice results for you.  If you wish, you could send us the diff so 
that we could look into incorporating it.

Peace,

Matt.

From: 
<[email protected]<mailto:[email protected]>>
 on behalf of Antonin Skoch <[email protected]<mailto:[email protected]>>
Date: Monday, October 31, 2016 at 11:44 AM
To: "[email protected]<mailto:[email protected]>" 
<[email protected]<mailto:[email protected]>>
Subject: [HCP-Users] FreeSurferPipeline.sh with FreeSurfer dev version (-hires 
option)

Dear experts,

I was wondering, why do you run in FreeSurferPipeline the recon-all with 
downsampled 1mm3 data?

It is due to the fact that you do not want to rely on development version of 
FreeSurfer which only enables reconstruction of high resolution data (via -cm 
or -hires option)? Isn't it a bit step backward for subcortical analysis to do 
the subcortical recon with 1mm resolution?

Since I really needed subcortical segmentation in high resolution (for 
Hippocampal subfields modelling) but wanted to capitalize on HCP pipeline added 
values, I tried to modify FreeSurferPipeline scripts to use FreeSurfer dev 
version.

I used mris_make_surfaces from HCP verion of FreeSurfer, other binaries and 
scripts are from dev version. I had to make only several minor changes in 
FreeSurferHiResWhite and FreeSurferHiResPial: I only needed to slightly modify 
parameter format of mri_surf2surf to accomodate expectation of dev version of 
mri_surf2surf and acknowledge the fact that recon-all -white in dev version 
does not make ?h.white files, but ?h.white.preaparc and aseg.presurf instead of 
aseg.

I ran my data by my modified "full-hires" pipeline and the results seem 
reasonable.

Do you see any potential pitfalls with this approach?

Regards,

Antonin Skoch



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