DTI Estimator

Class: NodeDTIEstimator

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Inputs

Image

Missing description.

Type: Image4DFloat, Required, Single

xps

Missing description.

Type: DataCollection, Required, Single

Mask

Missing description.

Type: Image4DBool, Optional, Single

Outputs

S0

Missing description.

Type: Image4DFloat

MD

Missing description.

Type: Image4DFloat

FA

Missing description.

Type: Image4DFloat

Diffusion Tensor

Missing description.

Type: Image4DFloat

std(S0)

Missing description.

Type: Image4DFloat

std(MD)

Missing description.

Type: Image4DFloat

std(FA)

Missing description.

Type: Image4DFloat

std(Diffusion Tensor)

Missing description.

Type: Image4DFloat

Settings

Settings

PluginID Text

No description available.

Debug Boolean

No description available.

General

device Text

The device on which to put the computation. (cpu, cuda:0, cuda:1, ...)

Batch Size PythonDouble

No description.

Nan value PythonDouble

What to replace nan values with

Compute precision StringList

32 bit precision is faster but may require some regularization.

Uncertainty settings

Uncertainty method StringList

Method used for calculation of standard deviation

Number of samples PythonDouble

Number of samples needed for the sampled based uncertainty.

Discretization Correction

Dediscretization jitter Boolean

No description.

Jitter size PythonDouble

No description.

Prior

Diffusion tensor variance PythonDouble

Prior variance of the diffusion tensor (0 mean not used)

See also

Keywords: