Package | Description |
---|---|
inverters | |
mesd | |
numerics | |
optimizers |
Modifier and Type | Class and Description |
---|---|
class |
BallStickFitter
Fits the Behrens ball and stick model to diffusion-weighted data.
|
class |
DiffDataFitter
Purpose:
Marquardt fitter especially for fitting models to diffusion data.
|
class |
DiffTensorFitter
Purpose:
Non-linear least squares fitter of diffusion tensor to DW-MR data.
|
class |
DiffTensorUnConFitter
Purpose:
Non-linear least squares fitter of diffusion tensor to DW-MR data.
|
class |
TensorModelFitter
Purpose:
General abstract class for a simple-diffusion based model fitter.
|
class |
ThreeTensorAxiSymFitter
Purpose:
Non-linear least squares fitter of a three tensor model with prolate
axisymmetric tensors to DW-MR data.
|
class |
ThreeTensorAxiSymFixMP_Fitter
Purpose:
Non-linear least squares fitter of a three-tensor model to DW-MR data
with fixed mixing parameters and axisymmetric tensors.
|
class |
ThreeTensorCholFitter
Purpose:
Non-linear least squares fitter of a three-tensor model to DW-MR data.
|
class |
ThreeTensorCholFixMP_Fitter
Purpose:
Non-linear least squares fitter of a three-tensor model to DW-MR data
with fixed mixing parameters.
|
class |
ThreeTensorFitter
Purpose:
Non-linear least squares fitter of a three tensor model to DW-MR data.
|
class |
ThreeTensorOneAxiSymFitter
Purpose:
Non-linear least squares fitter of a three tensor model with one prolate
axisymmetric tensor to DW-MR data.
|
class |
ThreeTensorOneAxiSymFixMP_Fitter
Purpose:
Non-linear least squares fitter of a three-tensor model to DW-MR data
with fixed mixing parameters and one axisymmetric tensor.
|
class |
ThreeTensorTwoAxiSymFitter
Purpose:
Non-linear least squares fitter of a three tensor model with two prolate
axisymmetric tensors to DW-MR data.
|
class |
ThreeTensorTwoAxiSymFixMP_Fitter
Purpose:
Non-linear least squares fitter of a three-tensor model to DW-MR data
with fixed mixing parameters and two axisymmetric tensors.
|
class |
TwoTensorAxiSymFitter
Purpose:
Non-linear least squares fitter of a two prolate axisymmetric tensor
model to DW-MR data.
|
class |
TwoTensorAxiSymFixMP_Fitter
Purpose:
Non-linear least squares fitter of a two prolate axisymmetric tensor
model to DW-MR data with fixed mixing parameter.
|
class |
TwoTensorCholFitter
Purpose:
Non-linear least squares fitter of a two tensor model to DW-MR data.
|
class |
TwoTensorCholFixMP_Fitter
Purpose:
Non-linear least squares fitter of a two tensor model to DW-MR data with
fixed mixing parameter.
|
class |
TwoTensorFitter
Purpose:
Non-linear least squares fitter of a two tensor model to DW-MR data.
|
class |
TwoTensorOneAxiSymFitter
Purpose:
Non-linear least squares fitter of a two tensor model with one prolate
axisymmetric tensor to DW-MR data.
|
class |
TwoTensorOneAxiSymFixMP_Fitter
Purpose:
Non-linear least squares fitter of a two tensor model with one prolate
axisymmetric tensor to DW-MR data with fixed mixing parameter.
|
Modifier and Type | Class and Description |
---|---|
class |
MESD_Fitter
Purpose:
Non-linear least squares fitter of the maximum entropy representation of
the spherical deconvolution.
|
Modifier and Type | Class and Description |
---|---|
class |
TwoFibreBipolarWatsonFitter
Purpose:
Fits two Watson distributions to a collection of axes.
|
class |
TwoFibreFixedPropWatsonFitter
Purpose:
Fits two Watson distributions to a collection of axes.
|
class |
TwoFibreWatsonFitter
Purpose:
Fits two Watson distributions to a collection of axes.
|
Modifier and Type | Class and Description |
---|---|
class |
LM_GaussianMinimizer
Purpose:
Levenberg-Marquardt algorithm for minimizing chi-squared
objective function, ie Gaussian noise model, with equal variance on
each measurement.
|
class |
LM_Minimizer |
class |
LM_OffGaussMinimizer
Purpose:
Levenberg-Marquardt algorithm for minimizing chi-squared
objective function with the offset Gaussian noise model, which adds
an expected offset to each measurement from Rician noise bias; see
Jones and Basser MRM 2004; Alexander "Modelling fitting and
sampling..." 2009.
|
class |
LM_RicianMinimizer
Purpose:
Levenberg-Marquardt algorithm for minimizing the log-likelihood
objective function using a Rician noise model assuming equal
underlying variances on the real and imaginary Gaussian models on
each measurement.
|
class |
MarquardtChiSqFitter
Purpose:
Model fitting algorithm using a Levenburg Marquardt algorithm.
|
class |
MarquardtMinimiserTest
Purpose:
Simple test example for Marquardt minimiser class.
|