Hi ,
I am new to longitudinal processing using freesurfer. I am about to process a big dataset of longitudinal images.
If in the end, I am only interested in norm.mgz file, is there a way I can speed up the processing time of the entire pipeline?
Since norm.mgz gets created in cross sectional processing after canorm steps of autorecon2, would these sequence of commands work for a subject?
1) recon-all -autorecon1 -subjid <tpNid> 2) recon-all -autorecon2 -subjid <tpNid> -gcareg -canorm 3) recon-all -base <templateid> -tp <tp1id> -tp <tp2id> ... -all 4) recon-all -long <tpNid> <templateid> -all
Thanks in advance, Nikhil
Hi Nikhil,
If you are only interested in the norm.mgz you don't need the longitudinal pipeline, because that is designed to give you more reliable segmentations and surfaces.
Simply run 1 and 2 and you have the norm for all subjects / time points. If you want to register them into the same space within each subject, do it manually with mri_robust_template after they are created.
Best, Martin
On 08/29/2013 05:54 AM, Nikhil Pratap Singh wrote:
Hi ,
I am new to longitudinal processing using freesurfer. I am about to process a big dataset of longitudinal images.
If in the end, I am only interested in norm.mgz file, is there a way I can speed up the processing time of the entire pipeline?
Since norm.mgz gets created in cross sectional processing after canorm steps of autorecon2, would these sequence of commands work for a subject?
- recon-all -autorecon1 -subjid <tpNid>
- recon-all -autorecon2 -subjid <tpNid> -gcareg -canorm
- recon-all -base <templateid> -tp <tp1id> -tp <tp2id> ... -all
- recon-all -long <tpNid> <templateid> -all
Thanks in advance, Nikhil
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
freesurfer@nmr.mgh.harvard.edu