def __init__(self, model, model_params):
""" Initialize a FreeWaterTensorFit class instance.
Since the free water tensor model is an extension of DTI, class
instance is defined as subclass of the TensorFit from dti.py
Parameters
----------
model : FreeWaterTensorModel Class instance
Class instance containing the free water tensor model for the fit
model_params : ndarray (x, y, z, 13) or (n, 13)
All parameters estimated from the free water tensor model.
Parameters are ordered as follows:
1) Three diffusion tensor's eigenvalues
2) Three lines of the eigenvector matrix each containing the
first, second and third coordinates of the eigenvector
3) The volume fraction of the free water compartment
References
----------
.. [1] Henriques, R.N., Rokem, A., Garyfallidis, E., St-Jean, S.,
Peterson E.T., Correia, M.M., 2017. [Re] Optimization of a free
water elimination two-compartment model for diffusion tensor
imaging. ReScience volume 3, issue 1, article number 2
"""
TensorFit.__init__(self, model, model_params)
def __init__(self, model, model_params):
""" Initialize a FreeWaterTensorFit class instance.
Since the free water tensor model is an extension of DTI, class
instance is defined as subclass of the TensorFit from dti.py
Parameters
----------
model : FreeWaterTensorModel Class instance
Class instance containing the free water tensor model for the fit
model_params : ndarray (x, y, z, 13) or (n, 13)
All parameters estimated from the free water tensor model.
Parameters are ordered as follows:
1) Three diffusion tensor's eigenvalues
2) Three lines of the eigenvector matrix each containing the
first, second and third coordinates of the eigenvector
3) The volume fraction of the free water compartment
"""
TensorFit.__init__(self, model, model_params)
def __init__(self, model, model_params):
""" Initialize a FreeWaterTensorFit class instance.
Since the free water tensor model is an extension of DTI, class
instance is defined as subclass of the TensorFit from dti.py
Parameters
----------
model : FreeWaterTensorModel Class instance
Class instance containing the free water tensor model for the fit
model_params : ndarray (x, y, z, 13) or (n, 13)
All parameters estimated from the free water tensor model.
Parameters are ordered as follows:
1) Three diffusion tensor's eigenvalues
2) Three lines of the eigenvector matrix each containing the
first, second and third coordinates of the eigenvector
3) The volume fraction of the free water compartment
"""
TensorFit.__init__(self, model, model_params)
def __init__(self, model, model_params):
""" Initialize a DiffusionKurtosisFit class instance.
Since DKI is an extension of DTI, class instance is defined as subclass
of the TensorFit from dti.py
Parameters
----------
model : DiffusionKurtosisModel Class instance
Class instance containing the Diffusion Kurtosis Model for the fit
model_params : ndarray (x, y, z, 27) or (n, 27)
All parameters estimated from the diffusion kurtosis model.
Parameters are ordered as follow:
1) Three diffusion tensor's eingenvalues
2) Three lines of the eigenvector matrix each containing the
first, second and third coordinates of the eigenvector
3) Fifteen elements of the kurtosis tensor
"""
TensorFit.__init__(self, model, model_params)
def __init__(self, model, model_params):
""" Initialize a DiffusionKurtosisFit class instance.
Since DKI is an extension of DTI, class instance is defined as subclass
of the TensorFit from dti.py
Parameters
----------
model : DiffusionKurtosisModel Class instance
Class instance containing the Diffusion Kurtosis Model for the fit
model_params : ndarray (x, y, z, 27) or (n, 27)
All parameters estimated from the diffusion kurtosis model.
Parameters are ordered as follow:
1) Three diffusion tensor's eingenvalues
2) Three lines of the eigenvector matrix each containing the
first, second and third coordinates of the eigenvector
3) Fifteen elements of the kurtosis tensor
"""
TensorFit.__init__(self, model, model_params)
