docstr: Computes the microscopic fractional anisotropy from the mean signal
  diffusional kurtosis parameters assuming the 2-compartmental spherical
  mean technique model [1]_, [2]_
  
  Returns
  -------
  smt2uFA : ndarray
      Microscopic fractional anisotropy computed by converting MSDKI to
      SMT2.
  
  Notes
  -----
  Computes the intrinsic diffusivity using equation 10 of [1]_
  
  References
  ----------
  .. [1] Neto Henriques R, Jespersen SN, Shemesh N (2019). Microscopic
         anisotropy misestimation in spherical‐mean single diffusion
         encoding MRI. Magnetic Resonance in Medicine (In press).
         doi: 10.1002/mrm.27606
  .. [2] Kaden E, Kelm ND, Carson RP, et al. (2016) Multi‐compartment
         microscopic diffusion imaging. Neuroimage 139:346–359.
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code: def smt2uFA(self):
      r"""
      Computes the microscopic fractional anisotropy from the mean signal
      diffusional kurtosis parameters assuming the 2-compartmental spherical
      mean technique model [1]_, [2]_
  
      Returns
      -------
      smt2uFA : ndarray
          Microscopic fractional anisotropy computed by converting MSDKI to
          SMT2.
  
      Notes
      -----
      Computes the intrinsic diffusivity using equation 10 of [1]_
  
      References
      ----------
      .. [1] Neto Henriques R, Jespersen SN, Shemesh N (2019). Microscopic
             anisotropy misestimation in spherical‐mean single diffusion
             encoding MRI. Magnetic Resonance in Medicine (In press).
             doi: 10.1002/mrm.27606
      .. [2] Kaden E, Kelm ND, Carson RP, et al. (2016) Multi‐compartment
             microscopic diffusion imaging. Neuroimage 139:346–359.
      """
      fe = 1 - self.smt2f
      num = 3 * (1 - 2 * fe**2 + fe**3)
      den = 3 + 2 * fe**3 + 4 * fe**4
      return np.sqrt(num / den)
  
imports: import numpy
  import scipy.optimize
  from dipy.core.gradients import check_multi_b, unique_bvals_magnitude, round_bvals
  from dipy.reconst.base import ReconstModel
  from dipy.reconst.dti import MIN_POSITIVE_SIGNAL
  from dipy.core.ndindex import ndindex
  from dipy.core.onetime import auto_attr
label_desc: Use image node_id 8 for calling the MeanDiffusionKurtosisFit obj's underlying member method code with example usage: obj.smt2uFA() and returns: np