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 _______________________________________________ HCP-Users mailing list [email protected] http://lists.humanconnectome.org/mailman/listinfo/hcp-users
