DTI Forward Model

Class: NodeDTIForwardModel

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Calculate b-tensor images given a 6-frame diffusion tensor image, an xps and a S0 map. The forward model has the option to use a stretching parameter a:

S(b) = S0 * exp( - (bD)^a )

as described by:

Bennett et al. (2003), Characterization of continuously distributed cortical water diffusion rates with a stretched‐exponential model. Magn. Reson. Med., 50: 727-734.

Inputs

S0

Missing description.

Type: Image4DFloat, Required, Single

Diffusion Tensor

Missing description.

Type: Image4DFloat, Required, Single

xps

Missing description.

Type: DataCollection, Required, Single

Mask

Missing description.

Type: Image4DBool, Optional, Single

Outputs

B-tensor images

Missing description.

Type: Image4DFloat

Settings

Settings

PluginID Text

No description available.

Debug Boolean

No description available.

Default

Stretching param PythonDouble

Use a stretched exponential model for heterogeneic diffusivity as described by Bennet et al. (2003). A stretching parameter of 1 results in no stretching.

See also

Keywords: