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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January 13, 2022 11:36PM
That is what we tend to do, stay close to the original voxel size. When processed with afni_proc.py, the output is (by default, at least) isotropic based on the minimum voxel dimension, truncated to 3 significant bits. Here, 3mm is already truncated, and would be used for the result.

Going from 3mm^3 to 1mm^3 is a factor of 27 in data storage, that would make a big difference. Using 3mm would not be as pretty, but it would be more honest to the data, in some sense.

- rick
Subject Author Posted

file size after using @auto_tlrc

xiyuezh January 13, 2022 06:22PM

Re: file size after using @auto_tlrc

rick reynolds January 13, 2022 08:27PM

Re: file size after using @auto_tlrc

xiyuezh January 13, 2022 10:29PM

Re: file size after using @auto_tlrc

rick reynolds January 13, 2022 11:36PM

Re: file size after using @auto_tlrc

xiyuezh January 14, 2022 01:03PM