Documentation/4.6/Extensions/Plastimatch

From Slicer Wiki
Revision as of 07:13, 7 November 2016 by UpdateBot (talk | contribs) (Nightly -> 4.6)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to: navigation, search
Home < Documentation < 4.6 < Extensions < Plastimatch


For the latest Slicer documentation, visit the read-the-docs.



Introduction and Acknowledgements

Acknowledgments: This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by ...
Author:Greg Sharp
Contributors: Jean-Christophe Fillion-Robin (Kitware)
Contact: Greg Sharp, <email>gcsharp@partners.org</email>
Website: http://plastimatch.org/
License: BSD

National Alliance for Medical Image Computing (NA-MIC)  


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.

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