DTI Forward Model

Class: NodeDTIForwardModel

Node Icon

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:

\[ \begin{equation} S(b) = S0 * e^{-(bD)^a } \end{equation} \]

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

Image reprosenting the S0 signal.

Type: Image4DFloat, Required, Single

Diffusion Tensor

Image representing the 6 channel Diffusion Tensor.

Type: Image4DFloat, Required, Single

xps

Metadata structure

Type: DataCollection, Required, Single

Mask

Binary mask defining the voxels that should be included in the calculations.

Type: Image4DBool, Optional, Single

Outputs

B-tensor images

Resulting B-tensor image.

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:

Copyright © 2022, NONPI Medical AB