ENH: Add ngff-zarr multi-resolution registration example#375
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ENH: Add ngff-zarr multi-resolution registration example#375
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Add Example 23 demonstrating a workflow that combines ngff-zarr multi-resolution image pyramids with ITKElastix registration: - Convert ITK images to ngff-zarr Multiscales via to_multiscales - Register at a coarse resolution (rigid + affine + bspline) - Convert Elastix results to itk.CompositeTransform - Apply the transform at full resolution in parallel using dask.array.map_blocks with itk.resample_image_filter Uses itk_image_to_ngff_image and ngff_image_to_itk_image to bridge between ITK and ngff-zarr data representations.
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@thewtex Please do By the way, what does "9566-example-demonstr" mean? |
N-Dekker
reviewed
Mar 9, 2026
| "source": [ | ||
| "import itk\n", | ||
| "import numpy as np\n", | ||
| "import dask.array as da\n", |
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Should dask be added to "requirements.txt"? Or maybe just dask-core?
N-Dekker
reviewed
Mar 9, 2026
| "source": [ | ||
| "## Load Images\n", | ||
| "\n", | ||
| "We load the fixed and moving 2D CT head images as ITK float images, which are required by Elastix." |
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Is it still required to use float images?
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Add Example 23 demonstrating a workflow that combines ngff-zarr multi-resolution image pyramids with ITKElastix registration:
Uses itk_image_to_ngff_image and ngff_image_to_itk_image to bridge between ITK and ngff-zarr data representations.