Matt McCormick

Large scale registration support coming via https://github.com/InsightSoftwareConsortium/itk-dreg.

itk-widgets has support for large-scale images via NGFF. See: https://github.com/InsightSoftwareConsortium/itkwidgets/blob/main/examples/integrations/zarr/OME-NGFF-Brainstem-MRI.ipynb

Hi @Svdvoort , Thanks for the report and nice reproducible test. I tried with Python 3.7, ITKElastix `main` as of today, and I could not reproduce the crash. Could you...

@Svdvoort thanks for testing and the feedback. It sounds like we have an issue similar to https://github.com/SuperElastix/elastix/pull/714 CC @N-Dekker @stefanklein

xref #137

With `itk.Transform` support, we can use `itk.TransformMeshFilter` CC: @N-Dekker

We should target a notebook for this with the transform support of [elastix 5.1.0](https://github.com/SuperElastix/elastix/releases/tag/5.1.0) / ITKElastix 0.16.0.

@N-Dekker

> For the transformix executable, "-threads" is certainly a useful option. However, when using ITKElastix with the itk Python wrapping, doesn't itk support calling itk::MultiThreaderBase::SetGlobalMaximumNumberOfThreads directly in Python? @N-Dekker in...

Hi @stefanklein , Yes, I agree, the flexibility of Elastix helps its adoption. To be clear, I am not suggesting that we do not add the ability to set the...