AFNI Message Board

Dear AFNI users-

We are very pleased to announce that the new AFNI Message Board framework is up! Please join us at:

https://discuss.afni.nimh.nih.gov

Existing user accounts have been migrated, so returning users can login by requesting a password reset. New users can create accounts, as well, through a standard account creation process. Please note that these setup emails might initially go to spam folders (esp. for NIH users!), so please check those locations in the beginning.

The current Message Board discussion threads have been migrated to the new framework. The current Message Board will remain visible, but read-only, for a little while.

Sincerely, AFNI HQ

History of AFNI updates  

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June 01, 2017 01:08PM
I suspect the differences would be quite small. Typically EPI images are collected in the axial plane and anatomical (T1) are collected in the sagittal plane. My experience is that in general one does not get noticeable improvement by doing alignment to the in-session anatomical vs. another anatomical of the same subject. There are exceptions to this, but using an average anatomical or template anatomical should work just as well if not better for your purposes.

You can certainly use AFNI to align two anatomicals and then average them together. You could use align_epi_anat.py with the -dset flags.

The process that I take is to use Freesurfer, which allows you to either average two T1s together (recon-all with two input flags) or to do a longitudinal model that will make a template from the two scans.
Subject Author Posted

Using tlrc block in afni_proc.py for inter-session alignment?

erin May 31, 2017 04:29PM

Re: Using tlrc block in afni_proc.py for inter-session alignment?

Peter Molfese May 31, 2017 04:44PM

Re: Using tlrc block in afni_proc.py for inter-session alignment?

erin June 01, 2017 12:08PM

Re: Using tlrc block in afni_proc.py for inter-session alignment?

Peter Molfese June 01, 2017 01:08PM

Re: Using tlrc block in afni_proc.py for inter-session alignment?

erin June 01, 2017 01:33PM