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.
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OpenSourcePACS is a free, open source image referral, archiving, routing and viewing system. It adds functionality beyond conventional PACS by integrating wet read functions, implemented through DICOM Presentation State and Structured Reporting standards.
In its first release, OpenSourcePACS delivers a complete wet read system, enabling an imaging clinic or hospital to offer its services over the web to physicians within or outside the institution. In future releases, we hope to incorporate more RIS (dictation, transcription, and reporting) functionality.
Open Source Picture Archiving and Communication System (OSPACS) for storing and displaying medical image files. This is currently been used by the Institute of Women's Health (University College London) to archive ultrasound images from the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS) and aims to store more than 100,000 DICOM files.
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
RT_Image is an application developed in the Department of Radiation Oncology and MIPS at Stanford University. Coded in the Interactive Data Language (IDL, ITT Visual Information Solutions), RT_Image was originally designed in 2003 to generate radiotherapy target volumes from positron emission tomography (PET) datasets. It has since evolved to embody a variety of tools for visualizing, quantitating, and segmenting three-dimensional images.
Stratos viewer is a web based utility to examine DICOM medical images through a web browser.
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.
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.