DicomBrowser is an application for inspecting and modifying DICOM metadata in many files at once. A single imaging session can produce thousands of DICOM files; DicomBrowser allows users to view and edit a whole session—or even multiple sessions—at once. Users can save the original or modified files to disk, or send them across a network to a DICOM C-STORE service class provider, such as a PACS or an XNAT.
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The purpose of the dicom4j platform is to provide java components related to the Dicom Standard. For those purpose, the platform is based on 4 areas:
- framework: framework which implements the standards
- toolkit: offer ways to easily develop software based on the framework
- plugins: end-user components which adress commons needs you can find in most dicom applications
- apps: stand alone applications for end-user or tests purpose
Kradview is a GPLed viewer of images obtained for some different sources: X-ray, NMR and DICOM-compatible imaging devices that runs on free operating systems. Its aim is a easy to use DICOM viewer with instant rendering of images, no matter the size and the zoom of the DICOM image. It covers the "let's see the the X-ray image" need of the medical professional.
HL7 file viewer, in tree-view format, with associated segment/field documentation. The latest release now includes editing, at all levels in the tree-view, e.g segment, field or component values. Purpose is for testing and bug-tracing HL7 communications.
REMITT is a revolutionary medical information translation and transmission system, which is primarily used for preparing and submitting medical billing data.
REMITT works independent of any specific electronic medical record (EMR) or practice management (PM) system, and can interface with any EMR or PM system which implements its application programming interface (API). The first system to do so has been FreeMED.
Currently Supported Formats
- ANSI NSF X12 837 Professional
Currently Supported Output Types
"ODIN is a C++ software framework to develop, simulate and run magnetic resonance sequences on different platforms."
The Medical Imaging Interaction Toolkit (MITK) is a free open-source software system for development of interactive medical image processing software. MITK combines the Insight Toolkit (ITK) and the Visualization Toolkit (VTK) with an application framework. As a toolkit, MITK offers those features that are relevant for the development of interactive medical imaging software covered neither by ITK nor VTK.
Core features of the MITK platform:
MediPy is a cross-platform software (Windows, Linux, Mac OS), dedicated to the visualization and processing aspects of medical imaging. It is targeted at both physicians and researchers, being both user-friendly and easy to extend. Physicians will benefit from the pre-programmed tasks (e.g. segmentation, registration, detection of lesions) and the possibility to record new tasks, tailoring the software to each user. The use of standard file formats (Analyze/Nifti, Dicom) allows to load image from many sources, as well as integrate to a PACS.
MITK 3M3 is a free and user-friendly application which ensures effective and efficient work, analysis, and visualization of radiological image data.
MITK 3M3 gives you access to the latest algorithms and methods from research. The cooperation between the German Cancer Research Center (DKFZ) and mint medical allows for a rapid transfer of leading-edge research topics, including diffusion imaging and automated segmentation techniques. MITK 3M3 will be constantly extended with the addition of new software modules to bring the latest research work to your computer.
The complexity of cellular networks is an outstanding challenge for documentation, visualisation and mathematical modelling. In this project, we develop a new way to describe these networks that minimises the combinatorial complexity and allows an automatic visualisation and export of mathematical (ODE/rulebased) models.
- Automatic visualiztion with Cytoscape.
- Automatic generation of rule based models for BioNetGen.
- Storage of biological facts that can be used for modelling.