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| + | Moved to https://github.com/slicerrt/slicerrt |
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| − | {{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
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| − | {{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
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| − | Acknowledgments:
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| − | This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by ... <br>
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| − | Author:Greg Sharp<br>
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| − | Contributors: Jean-Christophe Fillion-Robin ({{collaborator|name|kitware}})<br>
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| − | Contact: Greg Sharp, <email>gcsharp@partners.org</email><br>
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| − | Website: http://plastimatch.org/<br>
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| − | License: [http://forge.abcd.harvard.edu/gf/project/plastimatch/scmsvn/?action=browse&path=%2F*checkout*%2Fplastimatch%2Ftrunk%2Fsrc%2Fplastimatch%2FLICENSE.TXT&revision=2388 BSD]
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| − | {{documentation/{{documentation/version}}/module-introduction-end}}
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| − | {{documentation/{{documentation/version}}/extension-section|Extension Description}}
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| − | 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:
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| − | *B-spline method for deformable image registration (GPU and multicore accelerated)
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| − | *Demons method for deformable image registration (GPU accelerated)
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| − | *ITK-based algorithms for translation, rigid, affine, demons, and B-spline registration
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| − | *Pipelined, multi-stage registration framework with seamless conversion between most algorithms and transform types
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| − | *Landmark-based deformable registration using thin-plate splines for global registration
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| − | *Landmark-based deformable registration using radial basis functions for local corrections
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| − | *Broad support for 3D image file formats (using ITK), including DICOM, Nifti, NRRD, MetaImage, and Analyze
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| − | *DICOM and DICOM-RT import and export
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| − | *XiO import and export
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| − | {{documentation/{{documentation/version}}/extension-section|Modules}}
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| − | *[[Documentation/{{documentation/version}}/Modules/PlmBSplineDeformableRegistration|Plastimatch Automatic deformable image registration]]
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| − | *[[Documentation/{{documentation/version}}/Modules/PlmDICOMRTImport|Plastimatch DICOM-RT import]]
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| − | *[[Documentation/{{documentation/version}}/Modules/PlmDICOMRTExport|Plastimatch DICOM-RT export]]
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| − | *[[Documentation/{{documentation/version}}/Modules/PlmDoseComparison|Plastimatch Dose Comparison]]
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| − | *[[Documentation/{{documentation/version}}/Modules/PlmDoseVolumeHistogram|Plastimatch Dose Volume Histogram]]
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| − | *[[Documentation/{{documentation/version}}/Modules/PlmLANDWARP|Plastimatch LANDWARP Landmark]]
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| − | {{documentation/{{documentation/version}}/extension-section|Use Cases}}
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| − | [http://plastimatch.org/data_sources.html Sample data] to use with modules.
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| − | <gallery widths="200px" perrow="4">
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| − | Image:plastimatch_dicomrt_ss.png|DICOM-RT Structure Set
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| − | Image:plastimatch_dicomrt_dose.png|DICOM-RT Dose
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| − | Image:plastimatch_image_1.png|Before Registration
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| − | Image:plastimatch_image_2.png|After Registration
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| − | Image:before_reg.png|Before Registration
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| − | Image:after_reg.png|After Registration
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| − | </gallery>
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| − | {{documentation/{{documentation/version}}/extension-section|Tutorials}}
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| − | Image:plastimatch_tutorial_ppt.png|[http://forge.abcd.harvard.edu/gf/download/frsrelease/110/1023/3D_Slicer_Plastimatch_Registration_Tutorial.ppt Download tutorial]
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| − | Image:plastimatch_tutorial_data.png|[http://forge.abcd.harvard.edu/gf/download/frsrelease/85/1004/rider-lung-images.tar.gz Download tutorial data]
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| − | Image:plastimatch_dicomrt_tutorial_ppt.png|[http://forge.abcd.harvard.edu/gf/download/frsrelease/110/1568/3D_Slicer_Plastimatch_DICOM_RT_Tutorial_2010_12_28.pdf Download tutorial (PDF)]
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| − | Image:plastimatch_dicomrt_ss.png|[http://forge.abcd.harvard.edu/gf/download/frsrelease/85/934/chest-phantom-dicomrt-xio-4.33.02.tar.gz (Download tutorial data)]
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| − | Image:3D_Slicer_Plastimatch_Landmark_Registration_Tutorial.png|[http://forge.abcd.harvard.edu/gf/download/frsrelease/110/1622/3D_Slicer_Plastimatch_Landmark_Registration_Tutorial.ppt Download tutorial]
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| − | Image:fixed.png|[http://forge.abcd.harvard.edu/gf/download/frsrelease/85/1619/synthetic_img.zip Download tutorial data]
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| − | </gallery>
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| − | {{documentation/{{documentation/version}}/extension-section|Similar Extensions}}
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| − | N/A
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| − | {{documentation/{{documentation/version}}/extension-section|References}}
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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.
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| − | * 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.
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| − | * 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.
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| − | * 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.
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| − | * N. Shusharina, G. Sharp "Landmark-based image registration with analytic regularization", IEEE Trans. Med. Imag., submitted, 2011.
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| − | {{documentation/{{documentation/version}}/extension-section|Information for Developers}}
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| − | {{documentation/{{documentation/version}}/extension-developerinfo}}
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