code: def apply_ants_transform_to_image(transform, image, reference, interpolation='linear'):
      
      return transform.apply_to_image(image, reference, interpolation)
docs: Apply transform to an image
  
      ANTsR function: `applyAntsrTransformToImage`
  
      Arguments
      ---------
      image : ANTsImage
          image to which the transform will be applied
  
      reference : ANTsImage
          reference image
  
      interpolation : string
          type of interpolation to use
  
      Returns
      -------
      list : transformed vector
  
      Example
      -------
      >>> import ants
      >>> img = ants.image_read(ants.get_ants_data("r16")).clone('float')
      >>> tx = ants.new_ants_transform(dimension=2)
      >>> tx.set_parameters((0.9,0,0,1.1,10,11))
      >>> img2 = tx.apply_to_image(img, img)