Difference between revisions of "Documentation/Nightly/Extensions/Plastimatch"
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*[[Documentation/{{documentation/version}}/Modules/PlmBSplineDeformableRegistration|Plastimatch Automatic deformable image registration]] | *[[Documentation/{{documentation/version}}/Modules/PlmBSplineDeformableRegistration|Plastimatch Automatic deformable image registration]] | ||
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*[[Documentation/{{documentation/version}}/Modules/PlmLANDWARP|Plastimatch LANDWARP Landmark]] | *[[Documentation/{{documentation/version}}/Modules/PlmLANDWARP|Plastimatch LANDWARP Landmark]] | ||
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| − | + | File:Plastimatch tutorial ppt.png|[https://sourceforge.net/projects/plastimatch/files/Sample%20Data/3D_Slicer_Plastimatch_Registration_2015_12_29.pdf/download Download tutorial] | |
| − | + | File:Plastimatch tutorial data.png|[https://sourceforge.net/projects/plastimatch/files/Sample%20Data/rider-lung-images.tar.gz/download Download tutorial data] | |
| − | + | File:3D Slicer Plastimatch Landmark Registration Tutorial.png|[https://sourceforge.net/projects/plastimatch/files/Sample%20Data/3D_Slicer_Plastimatch_Landmark_Registration_Tutorial.ppt/download Download tutorial] | |
| − | + | File:Fixed.png|[https://sourceforge.net/projects/plastimatch/files/Sample%20Data/landwarp-tutorial-images.zip/download Download tutorial data] | |
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| − | * G Sharp, N Kandasamy, H Singh, M Folkert, "GPU-based streaming architectures for fast cone-beam CT image reconstruction and demons deformable registration," Physics in Medicine and Biology, 52(19), pp 5771-83, 2007. | + | |
| − | * V Boldea, G Sharp, SB Jiang, D Sarrut, "4D-CT lung motion estimation with deformable registration: Quantification of motion nonlinearity and hysteresis," Medical Physics, 33(3), pp 1008-18, 2008. | + | *G Sharp, N Kandasamy, H Singh, M Folkert, "GPU-based streaming architectures for fast cone-beam CT image reconstruction and demons deformable registration," Physics in Medicine and Biology, 52(19), pp 5771-83, 2007. |
| − | * Z Wu, E Rietzel, V Boldea, D Sarrut, G Sharp, "Evaluation of deformable registration of patient lung 4DCT with sub-anatomical region segmentations," Medical Physics, 35(2), pp 775-81, 2008. | + | *V Boldea, G Sharp, SB Jiang, D Sarrut, "4D-CT lung motion estimation with deformable registration: Quantification of motion nonlinearity and hysteresis," Medical Physics, 33(3), pp 1008-18, 2008. |
| − | * 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. | + | *Z Wu, E Rietzel, V Boldea, D Sarrut, G Sharp, "Evaluation of deformable registration of patient lung 4DCT with sub-anatomical region segmentations," Medical Physics, 35(2), pp 775-81, 2008. |
| − | * N. Shusharina, G. Sharp "Landmark-based image registration with analytic regularization", IEEE Trans. Med. Imag., submitted, 2011. | + | *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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Latest revision as of 18:56, 18 February 2022
Home < Documentation < Nightly < Extensions < Plastimatch
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For the latest Slicer documentation, visit the read-the-docs. |
Introduction and Acknowledgements
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Acknowledgments:
This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by ... | |||
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Extension Description
Plastimatch is an open source software for image computation. Our main focus is 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:
- B-spline method for deformable image registration (GPU and multicore accelerated)
- Demons method for deformable image registration (GPU accelerated)
- ITK-based algorithms for translation, rigid, affine, demons, and B-spline registration
- Pipelined, multi-stage registration framework with seamless conversion between most algorithms and transform types
- Landmark-based deformable registration using thin-plate splines for global registration
- Landmark-based deformable registration using radial basis functions for local corrections
- Broad support for 3D image file formats (using ITK), including DICOM, Nifti, NRRD, MetaImage, and Analyze
- DICOM and DICOM-RT import and export
- XiO import and export
Modules
Use Cases
Sample data to use with modules.
DICOM-RT Structure Set
DICOM-RT Dose
Before Registration
After Registration
Before Registration
After Registration
Tutorials
Similar Extensions
N/A
References
- G Sharp, N Kandasamy, H Singh, M Folkert, "GPU-based streaming architectures for fast cone-beam CT image reconstruction and demons deformable registration," Physics in Medicine and Biology, 52(19), pp 5771-83, 2007.
- V Boldea, G Sharp, SB Jiang, D Sarrut, "4D-CT lung motion estimation with deformable registration: Quantification of motion nonlinearity and hysteresis," Medical Physics, 33(3), pp 1008-18, 2008.
- Z Wu, E Rietzel, V Boldea, D Sarrut, G Sharp, "Evaluation of deformable registration of patient lung 4DCT with sub-anatomical region segmentations," Medical Physics, 35(2), pp 775-81, 2008.
- 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.
Information for Developers
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Section under construction. |
