View source for Documentation/4.1/Modules/PlmLANDWARP

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{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
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Extension: [[Documentation/{{documentation/version}}/Extensions/Plastimatch|Plastimatch]]<br>
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
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Webpage: [http://www.plastimatch.org www.plastimatch.org]<br>
Author: Greg Sharp (Department of Radiation Oncology, Massachusetts General Hospital)<br>
Contributor1: Julien Finet ({{collaborator|name|kitware}})<br>
Contact: Greg Sharp, <email>gcsharp@partners.org</email><br>
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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


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|[[Image:before_reg.png|thumb|280px|Before Registration]]
|[[Image:after_reg.png|thumb|280px|After Registration]]
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|[[Image:3D_Slicer_Plastimatch_Landmark_Registration_Tutorial.png|thumb|280px|[http://forge.abcd.harvard.edu/gf/download/frsrelease/110/1622/3D_Slicer_Plastimatch_Landmark_Registration_Tutorial.ppt Download tutorial]]]
|[[Image:fixed.png|thumb|230px|[http://forge.abcd.harvard.edu/gf/download/frsrelease/85/1619/synthetic_img.zip Download tutorial data]]]
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* '''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.
|[[Image:plastimatch_landmark_gui.png|thumb|280px|User Interface]]
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{{documentation/{{documentation/version}}/module-section|Similar Modules}}
*[[Documentation/{{documentation/version}}/Modules/PlmBSplineDeformableRegistration|Plastimatch Automatic deformable image registration]]
*[[Documentation/{{documentation/version}}/Modules/PlmDICOMRTImport|Plastimatch DICOM-RT import]]
*[[Documentation/{{documentation/version}}/Modules/PlmDICOMRTExport|Plastimatch DICOM-RT export]]
*[[Documentation/{{documentation/version}}/Modules/PlmDoseComparison|Plastimatch Dose Comparison]]
*[[Documentation/{{documentation/version}}/Modules/PlmDoseVolumeHistogram|Plastimatch Dose Volume Histogram]]
*[[Documentation/{{documentation/version}}/Modules/PlmSyntheticImageGeneration|Plastimatch Synthetic Image Generation]]
*[[Documentation/{{documentation/version}}/Modules/PlmThreshBox|Plastimatch Threshold in a box]]
*[[Documentation/{{documentation/version}}/Modules/PlmXFORMWARP|Plastimatch XFORMWARP]]

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{{documentation/{{documentation/version}}/module-section|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.

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