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vsoch / nidmviewer

NIDM Results Viewer
http://vsoch.github.io/nidmviewer/
BSD 3-Clause "New" or "Revised" License
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Viewing images not in MNI space #15

Open cmaumet opened 8 years ago

cmaumet commented 8 years ago

This issue is open to discuss which behaviour should be implemented for the nidmviewer in the presence of images that are not in MNI space. See for example: http://neurovault.org/collections/1435/fsl_ds008_sub-01.nidm

One possibility would be to check in the NIDM file if the space is MNI or not and then issue a warning if images are in subject space?

@vsoch, @chrisfilo: do you have any thoughts?

chrisgorgo commented 8 years ago

Ideally first level results (like the example you linked to) would be in the MNI space or they would include each participant T1 volume (that could be used to overlay on top as well as transform the results to MNI). Otherwise it's hard to even imagine how this data could be reused.

We had people sharing single subject results and they were in the MNI space

On Wed, Jun 15, 2016 at 7:38 AM, Camille Maumet notifications@github.com wrote:

This issue is open to discuss which behaviour should be implemented for the nidmviewer in the presence of images that are not in MNI space. See for example: http://neurovault.org/collections/1435/fsl_ds008_sub-01.nidm

One possibility would be to check in the NIDM file if the space is MNI or not and then issue a warning if images are in subject space?

@vsoch https://github.com/vsoch, @chrisfilo https://github.com/chrisfilo: do you have any thoughts?

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/vsoch/nidmviewer/issues/15, or mute the thread https://github.com/notifications/unsubscribe/AAOkp_WJ5HwCvpRfrDzowHMIhY9wZYpIks5qL-Q7gaJpZM4I2RBf .

vsoch commented 8 years ago

+1. I'm hesitant to enforce that the viewer only be able to handle MNI, because I see no reason the person couldn't show non MNI and provide their own anatomical. It would be best to enforce results in MNI, or have this level of filtering happen in NeuroVault before we hit the viewer.