jlpv is a Java Light PACS Viewer application useful for review series or images from DICOM data retrieved from the DCM4CHEE PACS system. It also uses ImageJ as a rendering engine or viewer. This project is in a early stage.
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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.
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.
Droid Dicom Viewer is a DICOM Viewer for the Android platform.
Droid Dicom Viewer implements a part of the DICOM standard. It reads DICOM images that are coded on 8 bits and 16 bits. It supports only grayscale not compressed DICOM files. It parses implicit and explicit (little endian and big endian) value representation (VR).
Dicoogle PACS is a distributed medical image system and offers the following features:
Stratos viewer is a web based utility to examine DICOM medical images through a web browser.
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.
Xebra is an open source, cross-platform, thin client and server for web-based distribution and clinical review of medical imaging results. Xebra is based on the latest open industry standards including JPEG2000, WADO and IHE XDS-I.
Oviyam is a web based DICOM Viewer. Using standard DICOM protocols patient lists can be queried, particular series or studies retrieved and be displayed as JPEG images in your browser. Oviyam will work with any DICOM server that supports WADO (Web Access to DICOM Persistent Objects).
Oviyam is a free download and is pre-packaged for deployment with JBoss.
The source is triple licensed under MPL 1.1/GPL 2.0/LGPL 2.1.
Oviyam is built using the dcm4che toolkit and script.aculo.us framework.