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ClearCanvas

Rating: 
Your rating: None Average: 3.6 (41 votes)

ClearCanvas Workstation is our friendly, integrated RIS Client and DICOM PACS viewer. Because it is built on top of our highly extensible application framework, we expect that it will be appropriate not just for radiologists and clinicians, but also researchers who want to build new, cutting edge tools that can be easily "tried out" in a clinical environment. Like our other creations, ClearCanvas Worksation is free and open source.

Feature Highlights

  • Very easy to use, intuitive interface
  • Integration with ClearCanvas RIS
Homepage: 
http://www.clearcanvas.ca/

Xphile

Rating: 
Your rating: None Average: 3.2 (23 votes)

Xphile is a free, open source radiology teaching library system for Mac OS X. The project is an effort to create an easily accessed local solution for storing and categorising radiology images and descriptions. Xphile requires a minimum of Mac OS X 10.4.

  • Store images exported from your PACS system
  • Drag and drop cases directly from OsiriX
  • Browse by system, pathology and region
  • Make smart and simple albums
  • Create Keynote presentations
  • Query, import to and export from MIRC sites
Homepage: 
http://homepage.mac.com/d2p/xphile/

MARiS

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Your rating: None Average: 3 (11 votes)

The MARiS Project goal is to realize a package suite for Radiological Workflow using Open Source tools and technologies in according with IHE guidelines. The architecture of the single packages is based on the concept of IHE actor: this is very useful to develope a system that is an ensamble of single pieces that cooperate together using IHE profiles.

Homepage: 
http://sourceforge.net/projects/maris/

Librehealth Radiology

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Your rating: None Average: 2.8 (10 votes)

Vision

The Radiology module aims at adding capabilities of a Radiology Information system (RIS) into LibreHealth Toolkit.

Objectives

Develop a module capable of manage information in a radiology department.

Homepage: 
http://librehealth.io/projects/lh-radiology/

OnkoDICOM

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Your rating: None Average: 3.5 (2 votes)

OnkoDICOM was created with Radiation Oncologists to allow Radiation Oncologists to do research on DICOM standard image sets (DICOM-RT, CT, MRI, PET) using open source technologies, such as pydicom, dicompyler-core, PySide6, PIL, and matplotlib. OnkoDICOM is cross platform, open source software, and welcomes contributions from the wider community via GitHub .

Homepage: 
https://onkodicom.com.au/
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