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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October 25, 2021 10:25AM
Hi, Harriet-

I for one can't see these images, because they require a google login. Can you please try attaching them here again?

A general point about alignment; there is only so far that affine alignment---12 degrees of freedom, 3 dimensions of rotation, translation, shear and scale--can go. We generally use affine to align data from one subject to other data of that subject---e.g., an EPI to an anatomical of sub-000. Why might that not provide *exact* alignment? EPIs can be distorted by B0 inhomogeneity and other effects; DWI images (also typically from an EPI sequence) can have even more distortions. Also, EPI images tend to be lower spatial resolution than an antomical, so there is partial voluming and loss of structural detail. Also also, EPI images (and also structural images) can have brightness inhomogeneities (separate from geometric distortion), which change their appearance and potential alignability. Scanning on a different day or in a different scanner can also lead to different distortions/effects. In short, life can be hard sometimes.

So, sometimes higher order alignment is necessary, depending on the data, even for data within the same subject, depending on the degree of alignment you need. But this depends a lot on the data, data quality, goals, etc.

To align data from different subjects (e.g., sub-000 to sub-001 or sub-000 to a template), we would typically recommend using nonlinear alignment, because the degree of expected difference is pretty large.

In all of this, the relative contrast of your data (and presence of inhomogeneities/oddities) can also inform what cost function is used to guide the alignment.

A lot of alignment issues in MRI are discussed here:
[www.youtube.com]

Again, these are just general points, because I cannot see the images you have linked above.

--pt
Subject Author Posted

Cannot get good alignment with align_epi_anat.py or 3dAllineate

hdempseyjones October 18, 2021 12:25AM

Re: Cannot get good alignment with align_epi_anat.py or 3dAllineate

Peter Molfese October 18, 2021 10:39AM

Re: Cannot get good alignment with align_epi_anat.py or 3dAllineate

hdempseyjones October 19, 2021 07:22PM

Re: Cannot get good alignment with align_epi_anat.py or 3dAllineate

Daniel Glen October 18, 2021 01:57PM

Re: Cannot get good alignment with align_epi_anat.py or 3dAllineate

hdempseyjones October 25, 2021 03:29AM

Re: Cannot get good alignment with align_epi_anat.py or 3dAllineate

ptaylor October 25, 2021 10:25AM

Re: Cannot get good alignment with align_epi_anat.py or 3dAllineate Attachments

hdempseyjones October 25, 2021 09:57PM

Re: Cannot get good alignment with align_epi_anat.py or 3dAllineate

ptaylor October 26, 2021 08:23AM

Re: Cannot get good alignment with align_epi_anat.py or 3dAllineate

hdempseyjones November 22, 2021 11:57PM

Re: Cannot get good alignment with align_epi_anat.py or 3dAllineate

Daniel Glen November 23, 2021 10:34AM