Documentation/Nightly/Extensions/ScatteredTransform

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Introduction and Acknowledgements

Extension: ScatteredTransform Acknowledgments: G. R. Joldes has been funded by Raine Medical Research Foundation through a Raine Priming Grant. Author: G. R. Joldes

Module Description

Creates a BSpline transform from a displacement field defined at scattered points by using the Multi-level BSpline interpolation algorithm.

Use Cases

1. Create a B-Spline transform based on two sets of fiducials.

2. Create a B-Spline transform based on two sets of points read from files. These files can contain the initial and deform configurations for a biomechanics-based FEM or mesh-free registration. The resulting B-Spline transform can be used to warp 3D images, a process which is very time consuming if spatial interpolation is performed using the mesh [1].

Brain shift computed using a biomechanics based brain model and FEM. The deformed high resolution pre-operative image (left) is compared to the intra-operative image (right). The pre-operative image has been warped using the B-Spline obtained by applying ScatteredTransform to the original and deformed mesh nodal positions.

A section through the brain computational model used to predict the brain shift, showing the ventricles (green) and tumor (red).

Panels and their use

Module UI

Advanced parameters

• Initial landmarks:

References

1. Joldes GR, Wittek A, Warfield SK, Miller K (2012) "Performing Brain Image Warping Using the Deformation Field Predicted by a Biomechanical Model." In: Nielsen PMF, Miller K, Wittek A, editors. Computational Biomechanics for Medicine: Deformation and Flow: Springer New York. pp. 89-96.