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.
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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.
Amide's a Medical Imaging Data Examiner (AMIDE) is a completely free tool for viewing, analysing, and registering volumetric medical imaging data sets. It's been written on top of GTK+ , and runs on any system that supports this toolkit (Linux, Windows, Mac OS X with fink, etc.).
3D medical image platform for visualization and image processing. Segmentation with Levels sets. Surface reconstruction with marching Cubes, texture Mapping and Raycasting, DICOM support.
MRmap is a flexible software tool that enables T1, T2, and T2* mapping from source images of multiple types of pulse sequences (IR-prepared multi-image T1 mapping, Look-Locker/ TOMROP T1 mapping, MOLLI T1 mapping; single- and multi-echo T2/ T2* mapping).
MRmap is a pure research tool and is not intended for any diagnostic or clinical use.
Photograph, manage, view, compare, document healing processes and archive digital pictures fully integrated into doctor's practice systems. Take a photo and immediately see how the picture gets archived to your current patient automatically.
MIView is an OpenGL based medical image viewer that contains useful tools such as a DICOM anonymizer and format conversion utility. MIView can read DICOM, Analyze/Nifti, and raster images, and can write Analyze/Nifti and raster images. It can also read and convert DICOM mosaic images. The main goal of MIView is to provide a platform to load any type of medical image and be able to view and manipulate the image. Volume rendering is the main type of advanced visualization that I'm trying to implement.
A Cross-platform DICOM viewer developed in Java using the dcm4che toolkit. Mayam is still work under progress. The current features are:
- DICOM Listener for Q/R
- DICOM Send
- Local DB for storing study information
- Importing DICOM studies from local disk
- Parsing DicomDir from local disk or CD
- Query compressed studies without decompressing them
- Multiple Studies viewer using Layout,Tab view
The "MITO - Medical Imaging TOolkit" project coagulates a number of activities aimed at defining and implementing an open-source, cross-platform software architecture for advanced Medical Imaging. MITO toolkit makes it possible to fetch radiological information and images stored in a PACS according to the standard format DICOM, then provides the final user with basic functionalities such as 2D-3D visualization (VR, SR, MIP), image segmentation and fusion, ROI. Moreover, MITO provides interaction techniques for manipulating 3D medical data in a virtual environment by 2 DOF input devices.
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.