code: def get_lowres_axis(new_spacing):
      axis = np.where(max(new_spacing) / np.array(new_spacing) == 1)[0]
      return axis
  
imports: import pickle
  import os
  import numpy
  from collections import OrderedDict
  from scipy.ndimage.interpolation import map_coordinates
  from multiprocessing.pool import Pool
  from skimage.transform import resize
  from .image_crop import get_case_identifier_from_npz, ImageCropper
  from .path_utils import join_paths
label_desc: Use image node_id 3 for calling a global function with example usage: get_lowres_axis(new_spacing) and returns: axis