dicompyler is an extensible open source radiation therapy research platform based on the DICOM standard. It also functions as a cross-platform DICOM RT viewer.

dicompyler is written in Python and is built on a number of technologies including: pydicom, wxPython, PIL, and matplotlib and runs on Windows, Mac OS X and Linux.

Take a tour of dicompyler by checking out some screenshots or download your own copy today.

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Downloads:

Google has deprecated downloads via Google Code, downloads are available through Google Drive:

Version 0.4.2: Windows | Mac | Source | Test Data

Latest News:

July 15th, 2014 - dicompyler 0.4.2 Released

• New Features:
  
  • Added Quick DICOM Import plugin
    
  • Plugins can now access the 2D View drawing canvas
    
  • Plugins can now be enabled/disabled
    
  • DICOM data can now be loaded via command line argument or dragging and dropping a folder on the dicompyler icon on the Windows version
    
  • Added persistence of the window size and position
    
• Many bug fixes

For additional changes, please see the release notes.

September 23rd, 2013 - dicompyler used as part of the National Radiation Oncology Registry

• Technology from dicompyler has been implemented as part of ASTRO/ROI's National Radiation Oncology Registry (NROR). Please see poster 2764 presented at the 2013 ASTRO Annual Meeting.

Please see the News archive for older news.

Major Features of dicompyler:

• Import CT/MR/PET Images, DICOM RT structure set, RT dose and RT plan files
  
• Extensible plugin system with included plugins:
  
  • 2D image viewer with dose and structure overlay
    
  • Dose volume histogram viewer with the ability to analyze DVH parameters
    
  • DICOM data tree viewer
    
  • Patient anonymizer
    For upcoming features, see the project roadmap.

System Requirements:

• Windows 2000/XP/Vista/7 (32-bit)
  
• Windows XP/Vista/7 (64-bit) - coming soon
  
• Mac OS X 10.5 - 10.9 (Intel 32-bit)
  
• Linux - via a package from PyPI or a Debian package (courtesy of debian-med)

If you are interested in building from source, please check out the build instructions.

Getting Help:

• As a starting point, please read the FAQ as it answers the most commonly asked questions about dicompyler.

Citing dicompyler:

• If you need to cite dicompyler as a reference in your publication, please use the following citation:
  
  • A Panchal and R Keyes. "SU-GG-T-260: dicompyler: An Open Source Radiation Therapy Research Platform with a Plugin Architecture" Med. Phys. 37, 3245 , 2010.
    
• You can view the original poster (SU-GG-T-260) which was presented at the AAPM 2010 Annual Meeting. The reference in Medical Physics can be accessed via http://dx.doi.org/10.1118/1.3468652