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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July 04, 2014 03:12AM
Hi,
I got my anatomical T1 image aligned to my EPI image and then transformed into tlrc space using afni_proc.py. Then I used the tlrc transformed anatomical image to create mask for group analysis.
The group mask was created by averaging all anatomical masks.
I planed to check the quality of tlrc transformation for the group of my subjects (n = 28, and attended 2 sessions separated by a week, so a total of 56 datasets).
An intuitive method I used was opening the average group mask in afni as the underlay and open the TT_N27 template as the overlay to see the overlap.
As I did tlrc transformation by referring the TT_N27, I believed that the averaged group mask should be as same as the TT_N27.
I found my group mask is slightly larger than the TT_N27 template. But I am not sure whether it cause a problem.

Am I right in using this way to evaluate the quality of tlrc transformation?
I attached a picture of the composite of the mask and the TT_N27.
I would appreciate if someone can help me evaluate the quality of tlrc transformation.

lizhuang
Subject Author Posted

checking quality of tlrc transformation

lzhyoung July 04, 2014 03:12AM

Re: checking quality of tlrc transformation

lzhyoung July 04, 2014 03:16AM

Re: checking quality of tlrc transformation

Daniel Glen July 07, 2014 12:27PM