Difference between revisions of "Documentation/Nightly/Extensions/ScatteredTransform"

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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.
 
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.
  
 
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Revision as of 04:35, 3 March 2017

Home < Documentation < Nightly < Extensions < ScatteredTransform

For the stable Slicer documentation, visit the 4.10 page.

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].

Input T1 Image
Brain mask as contour
Brain surface

Panels and their use

Module UI

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.