class_docstr: Class for fitting the Diffusion Kurtosis Model
docstr: Return the 15 independent elements of the kurtosis tensor as an array
docstr_tok: ["Return","the","15","independent","elements","of","the","kurtosis","tensor","as","an","array"]
code: def kt(self):
      """
      Return the 15 independent elements of the kurtosis tensor as an array
      """
      return self.model_params[..., 12:27]
  
imports: import numpy
  import warnings
  import scipy.optimize
  import dipy.core.sphere
  from dipy.reconst.multi_voxel import multi_voxel_fit
  from dipy.reconst.dti import TensorFit, mean_diffusivity, from_lower_triangular, lower_triangular, decompose_tensor, MIN_POSITIVE_SIGNAL, nlls_fit_tensor, restore_fit_tensor
  from dipy.reconst.utils import dki_design_matrix
  from dipy.reconst.recspeed import local_maxima
  from dipy.reconst.base import ReconstModel
  from dipy.core.ndindex import ndindex
  from dipy.core.geometry import sphere2cart, cart2sphere, perpendicular_directions
  from dipy.core.optimize import PositiveDefiniteLeastSquares
  from dipy.data import get_sphere, get_fnames, load_sdp_constraints
  from dipy.reconst.vec_val_sum import vec_val_vect
  from dipy.core.gradients import check_multi_b
label_desc: Use image node_id 2 for calling the DiffusionKurtosisFit obj's underlying member method code with example usage: obj.kt() and returns: self