Welcome to plastimatch

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).

Getting started

Software features include:

  • B-spline method for deformable image registration (GPU and multicore accelerated)

  • Analytic regularization for B-spline registration

  • Landmark penalty function for B-spline registration

  • 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

  • Tools for converting and manipulating vector fields and other geometric transforms

  • 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

  • Plugin to 3D Slicer

Plastimatch also features other handy utilities which are not directly related to image registration:

  • FDK cone-beam CT reconstruction (GPU and multicore accelerated)

  • Digitally reconstructed radiograph (DRR) generation (GPU and multicore accelerated)

  • A DICOM screen capture utility “Mondoshot”

Plastimatch lacks the following:

  • Landmark-based rigid registration

  • Viscous fluid registration

  • FEM registration

  • Surface matching registration

Reg-2-3 is no longer included in the plastimatch download. Please see <https://www.open-radart.org/cms/index.php/sorry> or <https://gitlab.com/plastimatch/reg-2-3>

Acknowledgments:

  • An Ira J Spiro translational research grant (2009)

  • NIH / NCI 6-P01CA21239

  • The Federal share of program income earned by MGH on C06CA059267

  • Progetto Rocca Foundation – A collaboration between MIT and Politecnico di Milano

  • The National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant 2-U54-EB005149

  • NSF ERC Innovation Award EEC-0946463

  • NSF / CISE 1642345

  • NSF / SMOR 1662852

  • Hardware grant from NVIDIA Corporation

For more information:

Documentation: