Documentation/4.2/Modules/PlmLANDWARP

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Introduction and Acknowledgements

Extension: Plastimatch Acknowledgments: An Ira J Spiro translational research grant (2009) NIH / NCI 6-PO1 CA 21239 The Federal share of program income earned by MGH on C06CA059267 Progetto Rocca Foundation – A collaboration between MIT and Politecnico di Milano The National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant 2-U54-EB005149; information on the National Centers for Biomedical Computing can be obtained from http://nihroadmap.nih.gov/bioinformatics NSF ERC Innovation Award EEC-0946463 Webpage: www.plastimatch.org Author: Greg Sharp (Department of Radiation Oncology, Massachusetts General Hospital) Contributor1: Julien Finet (Kitware) Contact: Greg Sharp, <email>gcsharp@partners.org</email>

Kitware, Inc.   National Alliance for Medical Image Computing (NA-MIC)

Module Description

This is the plastimatch landmark-based deformable image registration module. The intended application of this method is rapid, interactive correction of registration failures with a small number of mouse clicks. Compared to other landmark-based methods, the plastimatch registration method might offer:

1. both local and global registration
2. regularization of the deformation field

Examples of how this module is being used:

• Intra-subject registration for adaptive radiotherapy
• Inter-subject registration for automatic segmentation

Important note: This module does not show up for Slicer 4.2 on Mac

Use Cases

Before Registration

After Registration

Tutorials

Download tutorial

Download tutorial data

Panels and their use

Input/Output panel: Fixed Volume: Here you choose the "fixed image", which is the reference image. Moving Volume: Here you choose the "moving image", which will be warped to match the fixed image. Output Volume: Here you choose where to put the warped image. You can replace an existing image in the scene, or create a new image. Basis function: Here you can choose either tps (thin plate splines), or gauss (Gaussian RBF), or wendland (Wendland RBF). RBF radius: Here you can choose the radius of RBF. Number of clusters: Here you can choose the number of landmark clusters. Stiffness: Here you can choose the regularization parameter. Default Pixel Value: Here you can choose the value for pixels with unknown value.

User Interface

Similar Modules

• Plastimatch Automatic deformable image registration
• Plastimatch DICOM-RT import
• Plastimatch DICOM-RT export
• Plastimatch Dose Comparison
• Plastimatch Dose Volume Histogram
• Plastimatch Synthetic Image Generation
• Plastimatch Threshold in a box
• Plastimatch XFORMWARP

References

• G Sharp et al. "Plastimatch - An open source software suite for radiotherapy image processing," Proceedings of the XVIth International Conference on the use of Computers in Radiotherapy, May, 2010.
• N. Shusharina, G. Sharp "Landmark-based image registration with analytic regularization", IEEE Trans. Med. Imag., submitted, 2011.