itk_dreg.reduce_dfield.transform¶

Module Contents¶

Functions¶

collection_to_deformation_field_transform

Compose multiple input displacement fields into one transform.

Data¶

logger

Utility methods to aid distributed registration using ITK Python, ITKElastix, and Dask.

API¶

itk_dreg.reduce_dfield.transform.logger¶

‘getLogger(…)’

Utility methods to aid distributed registration using ITK Python, ITKElastix, and Dask.

itk_dreg.reduce_dfield.transform.collection_to_deformation_field_transform(transform_collection: itk_dreg.reduce_dfield.transform_collection.TransformCollection, reference_image: itk.Image, initial_transform: itk_dreg.base.itk_typing.TransformType, scale_factors: List[float]) → itk.DisplacementFieldTransform[itk.D, 3]¶

Compose multiple input displacement fields into one transform.

Follows the same algorithm as itkTransformToDisplacementFieldFilter, but is compatible with the Python TransformCollection implementation.

Assumptions:

  • input physical regions cover output physical region

  • domain overlap is handled in TransformCollection

Parameters:

  • transform_collection – The TransformCollection to discretely sample into an itk.DisplacementFieldTransform output.

  • reference_image – The image to reference to apply spatial metadata to the output displacement field image.

  • initial_transform – The initial transform to apply to the reference image to get appropriate initial positioning for the displacement field image.

  • scale_factors – The desired scale factors to reduce or increase the size of the displacement field image grid relative to the reference image.

Returns:

An itk.DisplacementFieldTransform discretizing the input collection of transforms. May be applied in sequence after initial_transform to map from an input to an output image domain.