Documentation/Nightly/Extensions/IASEM

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Introduction and Acknowledgements

Acknowledgments: Author: Bradley Lowekamp Contact: Bradley Lowekamp <email>blowekamp@mail.nih.gov</email> License:

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

• Plastimatch Automatic deformable image registration
• Plastimatch DICOM-RT import
• Plastimatch LANDWARP Landmark

Use Cases

Sample data to use with modules.

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  DICOM-RT Structure Set

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  DICOM-RT Dose

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  Before Registration

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  After Registration

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  Before Registration

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  After Registration

Tutorials

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  Download tutorial

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  Download tutorial data

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  Download tutorial (PDF)

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  (Download tutorial data)

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  Download tutorial

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  Download tutorial data

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.