Displacement field bridge ITK-MONAI #8
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@ntatsisk thanks!! @HastingsGreer please take a look 🙏 |
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…and automatically download test data Signed-off-by: Felix Schnabel <[email protected]>
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I tried to add it into the PR. If you have any feedback, I would highly appreciate it 😄 |
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…and automatically download test data Signed-off-by: Felix Schnabel <[email protected]>
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…and automatically download test data Signed-off-by: Felix Schnabel <[email protected]>
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| return np.asarray(warped_image) | ||
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| def monai_wrap(image_tensor, ddf_tensor): |
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…and automatically download test data Signed-off-by: Felix Schnabel <[email protected]>
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Can this PR also become part of Project-MONAI/MONAI#5897, @Shadow-Devil @wyli?
cc. @thewtex @HastingsGreer
Related to: Project-MONAI/MONAI#4117
One important note: here I am using simple torch tensors as input for the wrapping functions. This is different from the affine bridge PR where MetaTensors where used. This means that there is a difference in the ordering of dimensions because of this line in the MetaTensor creation https://github.com/Project-MONAI/MONAI/blob/50c3f328cb98e4f0c4e6a38a04a98badf0961c18/monai/data/image_reader.py#L393. To be honest, I am not sure if Tensor or MetaTensor is preferable. Let me know what you think is better for the integration in the MONAI codebase.
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xref:
Original affine bridge ITK-MONAI: #6
ITKElastix bridge milestone: InsightSoftwareConsortium/ITKElastix#126