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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November 14, 2013 03:39PM
I will add that align_epi_anat.py does not reorient from RAI to RPI by default and preserves the original orientation because there is really no need to. There are various "-master_" options that can be used to override the default behavior if you want something different. The AFNI viewer shows the datasets in underlay or overlay as they are stored accommodating for the origin, orientation and voxel sizes. So if an EPI dataset is placed over an anatomical dataset, it's not required that both have the same orientation.

Obliquity is another complication we're considering (oblique/deoblique overlay to match underlay) and might possibly be included in some future version. For now, the standard simple orientation (RAI,LPI,...) is stored separately from the matrix that defines an oblique dataset. The viewer treats the datasets mostly as rectangular datasets for the "orig" view without tilting the dataset one way or the other. With 3dWarp, you can "cardinalize" an oblique dataset or "obliquify" another dataset to match. See this page for more info:

[afni.nimh.nih.gov]
Subject Author Posted

Dealing with oblique datasets

dbliss November 13, 2013 11:50PM

Re: Dealing with oblique datasets

Peter Molfese November 14, 2013 12:12AM

Re: Dealing with oblique datasets

dbliss November 14, 2013 01:24AM

Re: Dealing with oblique datasets

Peter Molfese November 14, 2013 09:06AM

Re: Dealing with oblique datasets

Daniel Glen November 14, 2013 03:39PM

Re: Dealing with oblique datasets

dbliss November 15, 2013 01:27PM

Re: Dealing with oblique datasets

dbliss November 15, 2013 01:40PM

Re: Dealing with oblique datasets

Daniel Glen November 15, 2013 01:52PM

Re: Dealing with oblique datasets

dbliss November 15, 2013 02:01PM

Re: Dealing with oblique datasets

Daniel Glen November 15, 2013 02:44PM

Re: Dealing with oblique datasets

dbliss November 15, 2013 03:10PM

Re: Dealing with oblique datasets

jbteves September 16, 2021 04:35PM

Re: Dealing with oblique datasets

Daniel Glen September 17, 2021 03:03PM