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X-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing (TPAMI 2023)

License: Apache License 2.0

Python 100.00%
groupwise-registration image-segmentation information-theory maximum-likelihood medical-image-registration python probabilistic-graphical-models statistical-modelling mutual-information deformable-registration

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x-metric's Issues

Group-wise Registration of 3D T1 Brain MRI scans

Hi @xzluo97 ,

Thank you for the great work and kindly sharing the code.

I am now trying to run the group-wise registration (FFD or SVF) on a set of three T1 brain 3D MRIs (.nii.gz file), and save the final displacement field.

If I want to use XCoRegUN and XCoRegGT (both without segmentation), how should I start?

I am a bit lost in the code and don't know where to modify, could you give me some hints/guidances?

Thanks a lot!

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