code: def create_image():
      # Load a coronal slice from a T1-weighted MRI
      fname = get_fnames("t1_coronal_slice")
      single_slice = np.load(fname)
  
      # Stack a few copies to form a 3D volume
      nslices = 5
      image = np.zeros(shape=single_slice.shape + (nslices,))
      image[..., :nslices] = single_slice[..., None]
      return image
  
file_path: dipy/dipy/segment/tests/test_mrf.py
imports: import numpy
  import numpy.testing
  from dipy.data import get_fnames
  from dipy.sims.voxel import add_noise
  from dipy.segment.mrf import ConstantObservationModel, IteratedConditionalModes
  from dipy.segment.tissue import TissueClassifierHMRF
  from dipy.testing.decorators import set_random_number_generator
label_desc: Use image node_id 1 for calling a global function with example usage: create_image() and returns: image