Grassroots DICOM (GDCM) is an implementation of the DICOM standard designed to be open source so that researchers may access clinical data directly. GDCM includes a file format definition and a network communications protocol, both of which should be extended to provide a full set of tools for a researcher or small medical imaging vendor to interface with an existing medical database.
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Library and program to read the german health insurance card (KVK) and the german electronic health card (eGK) from a certified card reading device on the serial port in Linux with kernel 2.6.x.
pydicom is a pure python package for working with DICOM files. It was made for inspecting and modifying DICOM data in an easy "pythonic" way. The modifications can be written again to a new file. As a pure python package, it should run anywhere python runs without any other requirements.
pydicom is not a DICOM server, and is not primarily about viewing images. It is designed to let you manipulate data elements in DICOM files with python code.
Niftilib is a set of i/o libraries for reading and writing files in the nifti-1 data format. nifti-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images.
Niftilib currently has C, Java, MATLAB, and Python libraries; we plan to add some MATLAB/mex interfaces to the C library in the not too distant future.
Indivo is the original personally controlled health record (PCHR) system. A PCHR enables an individual to own and manage a complete, secure, digital copy of her health and wellness information. Indivo integrates health information across sites of care and over time. Indivo is free and open-source, uses open, unencumbered standards, and is actively deployed in diverse settings, in particular our own Children's Hospital Boston and the Dossia Consortium.
PixelMed Java DICOM Toolkit is a stand-alone DICOM toolkit that implements code for reading and creating DICOM data, DICOM network and file support, a database of DICOM objects, support for display of directories, images, reports and spectra, and DICOM object validation.
The toolkit is a completely new implementation, which does not depend on any other DICOM tools, commercial or free. It does make use of other freely available pure Java tools for compression and XML and database support.
The Image-Guided Surgery Toolkit is a high-level, component-based framework which provides a common functionality for image-guided surgery applications. The framework is a set of high-level components integrated with low-level open source software libraries and application programming interfaces (API) from hardware vendors.
HAPI (HL7 application programming interface; pronounced "happy") is an open-source, object-oriented HL7 2.x parser and encoder for HL7 version 2.x messages written in Java. This project is not affiliated with the HL7 organization; we are just writing some software that conforms to their specification. The project was initiated by University Health Network (a large multi-site teaching hospital in Toronto, Canada).
DICOM# open source project is intented to provide an OO class library for DICOM communication and will be developed purely by C# and running in .NET environment. DICOM# partially rewrites dcm4che open source project in C#.
.Net version of HAPI. Object oriented HL7 2.X parser. This was ported from the original HAPI by Bryan Tripp and University Health Network. HL7 parser/encoder written in Microsoft .Net C#. Can encode/decode both XML and Pi.