Class: NodeStructApplyTransform

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Transforms structures with the connected transformix parameters. Existing initial transforms are ignored. NB: See details regarding deformable transforms under Settings - Fixed to Moving.

Example workflows



The transformix parameters to be applied.

Type: TransformixParameter, Required, Single


The structure set which should be transformed.

Type: RTStructCollection, Required, Single


An image reference which specifies at what slice locations the contours should be generated. If a reference is not supplied, the polygon points are still transformed, but the contours may not be coplanar.

Type: Image4DFloat, Optional, Single



The transformed structure set.

Type: RTStructCollection



Fixed to Moving Boolean

By default this node will transform the structure points from the moving image space to the fixed, set this to perform the transformation from the fixed image space to the moving. NB: This setting will only have effect on linear transforms, i.e. translation, rigid and affine transforms, since the inverse of a deformable registration can only be obtained through an optimization. To perform a moving to fixed deformable structure transform, either first invert the deformation field using the method specified in the elastix manual, or perform the inverse deformable registration.

Deformable Structure Generation

Min Polygon Area (mm2) Number

The minimum polygon area that will be generated after a deformable transform of the structure set. Smaller structures will be disregarded.


Decimate Points Boolean

If set the number of points in the result will be reduced.

Iterations Integer

Set the maximum number of iterations for polygon reduction.

Stopping Criteria Number

The maximum area the parallelogram can have for a point to be removed in mm2. See Reduce.

Reference Image

Image Type Selection

The type of image to get information from.

Values: Mask, Image, Complex, Vector


1. S. Klein, M. Staring, K. Murphy, M.A. Viergever, J.P.W. Pluim, "elastix: a toolbox for intensity based medical image registration", IEEE Transactions on Medical Imaging, vol. 29, no. 1, pp. 196 - 205, January 2010.

2. D.P. Shamonin, E.E. Bron, B.P.F. Lelieveldt, M. Smits, S. Klein and M. Staring, "Fast Parallel Image Registration on CPU and GPU for Diagnostic Classification of Alzheimer’s Disease", Frontiers in Neuroinformatics, vol. 7, no. 50, pp. 1-15, January 2014.

3. "The Insight Segmentation and Registration Toolkit"

See also