Full featured free PACS based on ctn or dcm4chee, dcmtk and mysql, with remote accessiom using apache and perl available for Linux in Debian packaging format for i386, amd64 and Mac OS darwin i386 and ppc.
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Full featured DICOM server based on and heavily extending the public domain UCDMC DICOM code developed by Mark Oskin.
Ginkgo CADx project started in 2009 with the aim to create an interactive, universal, homogeneous, open-source and cross-platform CADX environment.
Ginkgo is built over a huge amount of advanced technologies providing full abstraction of complex tasks as:
TutatiX it's a Dicom Viewer written in python. TutatiX try to be a guide to known how Dicom works and how to develop an application. The must important part of TutatiX it's the documentation that must be detailed and easy to understand.
Rad is a DICOM workstation written in Cocoa for MacOSX. Using QuickTime, OpenGL, and open source databases iRad aims to provide an easy and efficient way to review medical images from CT, MRI, ultrasound, and other DICOM sources such as angiography.
OMERO is client-server software for visualisation, management and analysis of biological microscope images.
From the microscope to publication, OMERO handles all your images in a secure central repository. You can view, organise, analyse and share your data from anywhere you have internet access. Work with your images from a desktop app (Windows, Mac or Linux), from the web or from 3rd party software.
Orthanc aims at providing a simple, yet powerful standalone DICOM server. Orthanc can turn any computer running Windows or Linux into a DICOM store (in other words, a mini-PACS system). Its architecture is lightweight, meaning that no complex database administration is required, nor the installation of third-party dependencies.
Spectroscopic Image Visualization and Computing (SIVIC) is an open-source, standards-based software framework and application suite for processing and visualization of DICOM MR Spectroscopy data. Through the use of DICOM, SIVIC aims to facilitate the application of MRS in medical imaging studies.