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soupault avatar soupault commented on July 16, 2024 1

@alfonmedela This is currently not implemented, but I will consider it high-priority in my next iteration with the code. Or... You are always welcome to submit a PR. 🙂

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alfonmedela avatar alfonmedela commented on July 16, 2024

Did you find a solution to this @cabaker7 ? I am having the same problem and I can't find a straightforward way to solve it

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Iamlearn avatar Iamlearn commented on July 16, 2024

Hello, I have the same problem. Have you solved it?

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philippe2toulouse avatar philippe2toulouse commented on July 16, 2024

I also have the same problem. Have you been able to implement it?
thks :-)

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FakerAmine avatar FakerAmine commented on July 16, 2024

Any solution ? I used pyelastix to register two medical images, i wanna reproduce the same transformation on their respective masks(for segmentation purposes) , i cant find a way to exploit the resulting field to do so.

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manuel-lincbiotech avatar manuel-lincbiotech commented on July 16, 2024

Hello,
@FakerAmine I think it might be possible to use the field and pass it somehow to another library like SimpleITK to generate a deformation field. However, I'm not sure how to do it, for the time being when I apply the deformation in this way the result is far from the expected, could be related to how the axes are defined. Not sure. Could also be other libraries to work with the numpy array directly, maybe scipy has something to work with this?
I was working based on this with SimpleITK in case it is useful: SimpleITK/SimpleITK#1285
If anyone can figure it out please share. I'll do the same.

Thanks

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FakerAmine avatar FakerAmine commented on July 16, 2024

@manuel-lincbiotech Thank you ! I will try doing that !

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fabiopk avatar fabiopk commented on July 16, 2024

Hello,

@FakerAmine, got any positive results using the SimpleITK route?
I am facing the same issue right now.

Thanks

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basicskywards avatar basicskywards commented on July 16, 2024

Any solution ? I used pyelastix to register two medical images, i wanna reproduce the same transformation on their respective masks(for segmentation purposes) , i cant find a way to exploit the resulting field to do so.

pyelastix is really great for registration. But I solved the same problem as you mentioned using ANTsPy. You can follow this example for more information https://github.com/ANTsX/ANTsPy/blob/master/tutorials/concatenateRegistrations.ipynb

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