From Slicer Wiki
Jump to: navigation, search
Home < Modules:PlastimatchDICOMRT

Return to Slicer 3.6 Documentation

Plastimatch > DICOM-RT Import

DICOM-RT Structure Set

General Information

Module Type & Category

Type: CLI

Category: Plastimatch

Authors, Collaborators & Contact

  • Authors: See AUTHORS.TXT contained within the package
  • Contact: Greg Sharp, Department of Radiation Oncology, Massachusetts General Hospital (
  • Web page:

Module Description

This is the DICOM / DICOM-RT import module. It allows you to select a directory containing DICOM-RT structure sets and/or dose, which it will convert into 3D Slicer labelmap and/or scalar image. This module also loads the DICOM CT image without requiring the need to use the Slicer volume import wizard.

Note: In a Slicer, a labelmap voxel can only belong to one structure. However, DICOM-RT allows a region to belong to any number of strucutres. Therefore, importing DICOM-RT structure sets as Slicer labelmaps will usually result in a loss of data. This module uses a "last structure wins" strategy for assigning labels to overlapping volumes.

Note: Because DICOM-RT structures are specified as polylines, there is a small loss of fidelity when they are converted into rasterized volumes.



Quick Tour of Features and Use

  • Input/Output panel:
    • Input DICOM directory: Here you choose any file in the directory which contains the DICOM-RT data.
    • Reference Volume (to set size): This is an optional field. But if your dicom directory does not contain a CT, it is required. Here you choose any loaded volume. The import module will create a labelmap at the same resolution and pixel spacing as the reference volume that you choose here.
    • Output Image: Here you choose where to put the output CT image. Unless you want to replace an existing volume, you should choose "Create New Volume".
    • Output Labelmap: Here you choose where to put the output DICOM-RT structure set labelmap. Unless you want to replace an existing volume, you should choose "Create New Volume".
    • Output Dose Image: Here you choose where to put the output DICOM-RT dose image. Unless you want to replace an existing volume, you should choose "Create New Volume".
User Interface


Notes from the Developer(s)

Developer-oriented documentation is found on the plastimatch web site:


This module has no dependencies.


Plastimatch features approximately 100 test cases.

Known bugs

Usability issues

Please report usability issues to the bug tracker.

Source code & documentation

We recommended to download the latest source code from subversion:


More Information

About plastimatch

Plastimatch is an open source software for deformable image registration. It is designed for 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 DicomRT import and export
  • XiO import and export
  • Plugins for 3D Slicer

Plastimatch also features two 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)


National Institutes of Health
NIH / NCI 6-PO1 CA 21239
Federal share of program income earned by MGH on C06CA059267

Progetto Rocca Foundation
A collaboration between MIT and Politecnico di Milano


  • 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.