Difference between revisions of "Modules:PlastimatchLANDWARP"
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** '''Basis function:''' Here you can choose either tps (thin plate splines), or gauss (Gaussian RBF), or wendland (Wendland RBF). | ** '''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. | ** '''RBF radius:''' Here you can choose the radius of RBF. | ||
− | ** '''Stiffness:''' Here you can choose the regularization | + | ** '''Stiffness:''' Here you can choose the regularization parameter. |
** '''Default Pixel Value:''' Here you can choose the value for pixels with unknown value. | ** '''Default Pixel Value:''' Here you can choose the value for pixels with unknown value. | ||
== Development == | == Development == | ||
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===References=== | ===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. | * 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 | + | * N. Shusharina, G. Sharp "Landmark-based image registration with analytic regularization", IEEE Trans. Med. Imag., submitted, 2011. |
Revision as of 22:36, 14 February 2011
Home < Modules:PlastimatchLANDWARPReturn to Slicer 3.6 Documentation
Plastimatch > Landmark-based Registartion
General Information
Module Type & Category
Type: CLI
Category: Plastimatch
Authors, Collaborators & Contact
- Authors: See COPYRIGHT.TXT contained within the package
- Contact: Nadya Shusharina, Department of Radiation Oncology, Massachusetts General Hospital (nshsuharina@partners.org)
- Web page: http://plastimatch.org
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:
- both local and global registration
- 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
Usage
Tutorials
Quick Tour of Features and Use
DevelopmentNotes from the Developer(s)Developer-oriented documentation is found on the plastimatch web site: http://plastimatch.org DependenciesThis module has no dependencies. TestsPlastimatch features approximately 100 test cases. Known bugsUsability issuesPlease report usability issues to the bug tracker. Source code & documentationWe recommended to download the latest source code from subversion: Documentation: More InformationAbout plastimatchPlastimatch is an open source software for deformable image registration. It is designed for high-performance volumetric registration of medical images, such as X-ray computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET). Software features include:
Plastimatch also features two handy utilities which are not directly related to image registration:
AcknowledgmentNational Institutes of Health Progetto Rocca Foundation References
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