docstr: MONAI seems to have different behavior in the borders of the image than ITK.
  This helper function sets the border of the ITK image as 0 (padding but keeping
  the same image size) in order to allow numerical comparison between the
  result from resampling with ITK/Elastix and resampling with MONAI.
  To use: image[:] = remove_border(image)
  Args:
      image: The ITK image to be padded.
  
  Returns:
      The padded array of data.
code: def remove_border(self, image):
      """
      MONAI seems to have different behavior in the borders of the image than ITK.
      This helper function sets the border of the ITK image as 0 (padding but keeping
      the same image size) in order to allow numerical comparison between the
      result from resampling with ITK/Elastix and resampling with MONAI.
      To use: image[:] = remove_border(image)
      Args:
          image: The ITK image to be padded.
  
      Returns:
          The padded array of data.
      """
      return np.pad(
          image[1:-1, 1:-1, 1:-1]
          if image.ndim == 3
          else image[1:-1, 1:-1],
          pad_width=1,
      )
  
imports: from __future__ import annotations
  import itertools
  import os
  import tempfile
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  import monai
  import monai.transforms
  from monai.apps import download_url
  from monai.data import ITKReader
  from monai.data.itk_torch_bridge import get_itk_image_center, itk_image_to_metatensor, itk_to_monai_affine, metatensor_to_itk_image, monai_to_itk_affine, monai_to_itk_ddf
  from monai.networks.blocks import Warp
  from monai.transforms import Affine
  from monai.utils import optional_import, set_determinism
  from tests.utils import assert_allclose, skip_if_downloading_fails, skip_if_quick, test_is_quick, testing_data_config
label_desc: Use image node_id 6 for calling the TestITKTorchAffineMatrixBridge obj's underlying member method code with example usage: obj.remove_border(image) and returns: np