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Availability of all pairwise transformation files for human templates #161
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Hi @synchon! Thanks for your interest. The pairwise transformations have been part of the vision for templateflow, but have fallen by the wayside with nobody really making it a priority to get them done. We have some code for performing the registrations (undoubtedly out-of-date and needing some updating): https://github.com/templateflow/registration-framework/ My main concern is that I don't know that we have a solid QC mechanism to validate the registrations. The current registration framework uses ANTs SyN registration, though MMORF might be worth a look. Anyway, I think overall we're interested in including this, and I would be interested in your thoughts on QC and registration frameworks. |
This would indeed be a very desirable issue to solve. Let me know if somebody is willing to work on this - over the next year we need to look at this in more detail anyway, so I'd love to discuss how to solve this with high quality. Joern |
Hi @effigies ! Apologies for the delayed response.
That is indeed a problem we have as well and for now have relied on manual validations to make sure the registrations are correct. You can find our current transformation files here: https://gin.g-node.org/juaml/human-template-xfms .
We've also relied on ANTs SyN registration similar to https://github.com/templateflow/registration-framework/ . MMORF does look very interesting, thanks for sharing! In general, I find registrations by ANTs good enough given but have to admit that I'm not an expert in it.
We've been planning to validate the transformation files using https://github.com/afids/afids-data/tree/main and I'm curious what you think about it. Apart from this, my knowledge of QC is limited, but really interested to know if there are better alternatives. |
Hi, thanks for the amazing package! For junifer (a package I help maintain), we require the pairwise transformation files for the human template spaces (some of them are already there :D) to convert between spaces and compute features of interest. Is this something that has been planned? If not, will it be possible to have it included here if we compute the required pairwise transformation files? Thanks!
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