code: def itk_to_monai_affine(
      image,
      matrix,
      translation,
      center_of_rotation=None,
      reference_image=None,
  ) -> torch.Tensor:
      """
      Converts an ITK affine matrix (2x2 for 2D or 3x3 for 3D matrix and translation vector) to a MONAI affine matrix.
  
      Args:
          image: The ITK image object. This is used to extract the spacing and direction information.
          matrix: The 2x2 or 3x3 ITK affine matrix.
          translation: The 2-element or 3-element ITK affine translation vector.
          center_of_rotation: The center of rotation. If provided, the affine
                              matrix will be adjusted to account for the difference
                              between the center of the image and the center of rotation.
          reference_image: The coordinate space that matrix and translation were defined
                           in respect to. If not supplied, the coordinate space of image
                           is used.
  
      Returns:
          A 4x4 MONAI affine matrix.
      """
  
      _assert_itk_regions_match_array(image)
      ndim = image.ndim
      # If there is a reference image, compute an affine matrix that maps the image space to the
      # reference image space.
      if reference_image:
          reference_affine_matrix = (
              _compute_reference_space_affine_matrix(
                  image, reference_image
              )
          )
      else:
          reference_affine_matrix = torch.eye(
              ndim + 1, dtype=torch.float64
          )
  
      # Create affine matrix that includes translation
      affine_matrix = torch.eye(ndim + 1, dtype=torch.float64)
      affine_matrix[:ndim, :ndim] = torch.tensor(
          matrix, dtype=torch.float64
      )
      affine_matrix[:ndim, ndim] = torch.tensor(
          translation, dtype=torch.float64
      )
  
      # Adjust offset when center of rotation is different from center of the image
      if center_of_rotation:
          offset_matrix, inverse_offset_matrix = _compute_offset_matrix(
              image, center_of_rotation
          )
          affine_matrix = (
              inverse_offset_matrix @ affine_matrix @ offset_matrix
          )
  
      # Adjust direction
      (
          direction_matrix,
          inverse_direction_matrix,
      ) = _compute_direction_matrix(image)
      affine_matrix = (
          inverse_direction_matrix @ affine_matrix @ direction_matrix
      )
  
      # Adjust based on spacing. It is required because MONAI does not update the
      # pixel array according to the spacing after a transformation. For example,
      # a rotation of 90deg for an image with different spacing along the two axis
      # will just rotate the image array by 90deg without also scaling accordingly.
      spacing_matrix, inverse_spacing_matrix = _compute_spacing_matrix(
          image
      )
      affine_matrix = (
          inverse_spacing_matrix @ affine_matrix @ spacing_matrix
      )
  
      return affine_matrix @ reference_affine_matrix
  
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, cast
  import numpy
  import torch
  from monai.config.type_definitions import DtypeLike
  from monai.data import ITKReader, ITKWriter
  from monai.data.meta_tensor import MetaTensor
  from monai.data.utils import orientation_ras_lps
  from monai.transforms import EnsureChannelFirst
  from monai.utils import MetaKeys, SpaceKeys, convert_to_dst_type, optional_import
label_desc: Use image node_id 3 for calling a global function with example usage: itk_to_monai_affine(image, matrix, translation, center_of_rotation, reference_image) and returns: unknown