afni.nimh.nih.gov
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:
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
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
| February 09, 2016 01:13PM | |
Well, I just tried 3dAllineate and 3dQwarp on a couple of 2D images (axial slices from the same subject, about 5 mm apart).
3dAllineate on 2D images no longer works
3dQwarp on 2D images worked just fine
I create 2 single slice datasets (slices 55 and 59) via commands like
3dZcutup -keep 55 55 -prefix a55 anat+tlrc
Then I ran
3dQwarp -base a59+tlrc -source a55+tlrc -maxlev 7 -prefix a55_to_a59
and the results were reasonable.
For histology-to-MRI, you might prefer to add the '-nmi' or '-hel' options to use a different cost function than Pearson correlation.
3dAllineate on 2D images no longer works
3dQwarp on 2D images worked just fine
I create 2 single slice datasets (slices 55 and 59) via commands like
3dZcutup -keep 55 55 -prefix a55 anat+tlrc
Then I ran
3dQwarp -base a59+tlrc -source a55+tlrc -maxlev 7 -prefix a55_to_a59
and the results were reasonable.
For histology-to-MRI, you might prefer to add the '-nmi' or '-hel' options to use a different cost function than Pearson correlation.
| Subject | Author | Posted |
|---|---|---|
|
mentekp | February 06, 2016 04:57PM |
|
Bob Cox | February 06, 2016 06:40PM |
|
mentekp | February 08, 2016 08:20AM |
|
Bob Cox | February 08, 2016 06:56PM |
|
Bob Cox | February 09, 2016 01:13PM |
