code: def crop(vol, mins, maxs):
      """Crops the input volume.
  
      Parameters
      ----------
      vol : ndarray
          Volume to crop.
      mins : array
          Array containing minimum index of each dimension.
      maxs : array
          Array containing maximum index of each dimension.
  
      Returns
      -------
      vol : ndarray
          The cropped volume.
      """
      return vol[tuple(slice(i, j) for i, j in zip(mins, maxs))]
  
file_path: dipy/dipy/segment/mask.py
imports: from warnings import warn
  import numpy
  from dipy.reconst.dti import fractional_anisotropy, color_fa
  from scipy.ndimage import median_filter
  from scipy.ndimage import binary_dilation, generate_binary_structure
label_desc: Use image node_id 4 for calling a global function with example usage: crop(vol, mins, maxs) and returns: vol