Difference between revisions of "Documentation/Nightly/Extensions/MSLesionTrack"
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| − | This work | + | This work was partially funded by CAPES and CNPq, a Brazillian Agencies. Information on CAPES can be obtained on the [http://www.capes.gov.br/ CAPES website] and [http://www.cnpq.br/ CNPq website] <br> |
| − | + | Author:Antonio Carlos da S. Senra Filho, CSIM Laboratory (University of Sao Paulo, Department of Computing and Mathematics)<br> | |
| − | + | Contact: Antonio Carlos da S. Senra Filho, <email>acsenrafilho@usp.br</email><br> | |
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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: | 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: | ||
Revision as of 22:33, 22 April 2016
Home < Documentation < Nightly < Extensions < MSLesionTrack
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For the latest Slicer documentation, visit the read-the-docs. |
Introduction and Acknowledgements
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Acknowledgments:
This work was partially funded by CAPES and CNPq, a Brazillian Agencies. Information on CAPES can be obtained on the CAPES website and CNPq website | |||||||||
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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
- Plastimatch Automatic deformable image registration
- Plastimatch DICOM-RT import
- Plastimatch LANDWARP Landmark
Use Cases
Sample data to use with modules.
DICOM-RT Structure Set
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.
Information for Developers
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Section under construction. |
