ewoksndreg.intensities.simpleitk_backend.SitkOptimizerIntensityMapping#

class ewoksndreg.intensities.simpleitk_backend.SitkOptimizerIntensityMapping(transfo_type, metric=SitkMetricType.MeanSquares, optimizer=SitkOptimizerType.LBFGSB, order=1, mask=None, pyramid_levels=1, mesh_size=None, sampling=None, sampling_percentage=0.5, **kw)[source]#

Bases: IntensityMapping

Parameters:

  • transfo_type (TransformationType)

  • metric (SitkMetricType)

  • optimizer (SitkOptimizerType)

  • order (int)

  • mask (Optional[ndarray])

  • pyramid_levels (int)

  • mesh_size (Optional[tuple])

  • sampling (Optional[Literal['random', 'regular']])

  • sampling_percentage (int)

class RegistryId(name, backend)#

Bases: NamedTuple

backend: str#

Alias for field number 1

count(value, /)#

Return number of occurrences of value.

classmethod factory(value)#
Parameters:

value (Union[RegistryId, str, Tuple[str, str]])

index(value, start=0, stop=9223372036854775807, /)#

Return first index of value.

Raises ValueError if the value is not present.

name: str#

Alias for field number 0

SUPPORTED_TRANSFORMATIONS: List[str] = ['translation', 'rigid', 'similarity', 'affine', 'bspline', 'displacement_field']#
calculate(from_image, to_image)[source]#
Parameters:

  • from_image (ndarray)

  • to_image (ndarray)

Return type:

SimpleITKTransformation

classmethod get_subclass(registry_id)#
Parameters:

registry_id (Union[RegistryId, str, Tuple[str, str]])

Return type:

Type[Registered]

classmethod get_subclass_id()#
Return type:

Optional[RegistryId]

classmethod get_subclass_ids()#
Return type:

List[RegistryId]

classmethod get_subclass_items()#
Return type:

List[Tuple[str, Type[Registered]]]

classmethod get_subclasses()#
Return type:

List[Type[Registered]]

identity(dimension=2)[source]#
Parameters:

dimension (int)

Return type:

SimpleITKTransformation

property transformation_type: TransformationType#