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  

|
May 02, 2016 04:44PM
Hi, Cesar-

Well, align_epi_anat.py will build you a 3dAllineate command and run it. If you look at the history in the HEAD file of the output data sets after using align_epi_anat.py, you will see it. It is a wrapper in that sense-- it will include some default choices you might find useful.

I will quote the top of the 3dAllineate help:
NOTES: For most 3D image registration purposes, we now recommend that you
=====  use Daniel Glen's script align_epi_anat.py (which, despite its name,
       can do many more registration problems than EPI-to-T1-weighted).
  -->> In particular, using 3dAllineate with the 'lpc' cost functional
       (to align EPI and T1-weighted volumes) requires using a '-weight'
       volume to get good results, and the align_epi_anat.py script will
       automagically generate such a weight dataset that works well for
       EPI-to-structural alignment.
  -->> This script can also be used for other alignment purposes, such
       as T1-weighted alignment between field strengths using the
       '-lpa' cost functional.  Investigate align_epi_anat.py to
       see if it will do what you need -- you might make your life
       a little easier and nicer and happier and more tranquil.
  -->> Also, if/when you ask for registration help on the AFNI
       message board, we'll probably start by recommending that you
       try align_epi_anat.py if you haven't already done so.

So, whichever way you go, the '-lpa' cost function is likely a good place to start; to minimize smoothing when applying the warp, you might also want to look at including '-final wsinc5'

--pt
Subject Author Posted

align EPI to EPI with minimal interpolation and no motion correction

Cesar Caballero Gaudes May 02, 2016 04:16PM

Re: align EPI to EPI with minimal interpolation and no motion correction

ptaylor May 02, 2016 04:44PM

Re: align EPI to EPI with minimal interpolation and no motion correction

ptaylor May 02, 2016 04:47PM

Re: align EPI to EPI with minimal interpolation and no motion correction

Daniel Glen May 02, 2016 04:50PM

Re: align EPI to EPI with minimal interpolation and no motion correction

Daniel Glen May 02, 2016 04:46PM