ISE

Class: NodeInducedSusceptibilityEffect

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Produces the induced susceptibility effect for the supplied magnetic susceptibility map in form of the local B0-field, distorted image and distortion field. The input values are the image matrix together with the magnetic susceptibility map and patient mask.

Example Workflows

Induced susceptibility example

Inputs

Image

The image to be destorted due to the susceptibility effect.

Type: Image4DFloat, Required, Single

Susceptibility

The susceptibility map that generates a B0-field determening how Image will be destorted.

Type: Image4DFloat, Required, Single

Mask

Confine the distortion calculation to the region defined in the Mask.

Type: Image4DBool, Required, Single

Outputs

Local B0

The susceptiblity induced B0 field in units of Tesla.

Type: Image4DFloat

Distorted Image

The resulting distorted version of the input Image.

Type: Image4DFloat

Distortion Field

The distortion field in mm.

Type: Image4DVector3

Distortion Field Shifted

The distortion field in mm with the bulk avarege distortion removed.

Type: Image4DVector3

Settings

B0 Number

The field strength (T) of the B0-field

Lorenz Correction Boolean

Applies the Lorentz sphere correction

Positive Shift X Boolean

Sets the direction of the x-gradient in relation to the image matrix

Positive Shift Y Boolean

Sets the direction of the y-gradient in relation to the image matrix

Positive Shift Z Boolean

Sets the direction of the z-gradient in relation to the image matrix

Bandwidth X (Hz/Voxel) Number

The applied bandwidth (frequency encoding) in the X-direction given in Hz/Voxel

Bandwidth Y (Hz/Voxel) Number

The applied bandwidth (frequency encoding) in the Y-direction given in Hz/Voxel

Bandwidth Z (Hz/Voxel) Number

The applied bandwidth (read out) in the Z-direction given in Hz/Voxel

Gyromagnetic Ratio (Hz/T) Number

The gyromagnetic ratio to use. Typically this is the default value for protons of 42.57e+6 Hz/T

References

  1. J A Lundman, M Bylund, A Garpebring, C Thellenberg Karlsson, T Nyholm. Patient-induced susceptibility effects simulation in magnetic resonance imaging. Physics and Imaging in Radiation Oncology. (2017) DOI: 10.1016/j.phro.2017.02.004
  2. “The Insight Segmentation and Registration Toolkit” www.itk.org

See also

Keywords: