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). 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
Reg-2-3, included in the plastimatch download, is a full-featured
2D-3D rigid registration program. Features include:
- Automatic registration using several cost functions,
including
normalized mutual information (NMI),
normalized correlation (NCC),
mean reciprocal square differences (MRSD),
mean squared difference (MS),
and gradient difference (GD)
- Interactive initialization
- Programmable pre-processing and post-processing
- Regular and irregular regions of interest
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
- 2D-2D registration
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;
information on the National Centers for Biomedical Computing
can be obtained from http://nihroadmap.nih.gov/bioinformatics
- NSF ERC Innovation Award EEC-0946463
For more information:
Documentation:
