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OpenSourcePACS

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Your rating: None Average: 4 (21 votes)

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.

MITO - Medical Imaging TOolkit

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Your rating: None Average: 4.5 (4 votes)

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.

Open Source Picture Archiving and Communication System (OSPACS)

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Your rating: None Average: 3.6 (19 votes)

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.

TutatiX

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Your rating: None Average: 3.5 (2 votes)

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.

RT_Image

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Your rating: None Average: 3.7 (3 votes)

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.

V3D-Viewer

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Your rating: None Average: 4 (2 votes)

V3D-Viewer is a DICOM and "Philips V3D 3DRA" Medical Volume Viewer based on .NET and the VTK library. With marching cubes, 3d planes and (3D texture) volume rendering, including histogram transparency and intensity curve selection tool.

Xebra

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Your rating: None Average: 3.2 (13 votes)

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.

iRad

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Your rating: None Average: 3 (1 vote)

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.

AMIDE

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Your rating: None Average: 3.4 (8 votes)

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.).

MITK 3M3

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Your rating: None Average: 4 (2 votes)

MITK 3M3 is a free and user-friendly application which ensures effective and efficient work, analysis, and visualization of radiological image data.

MITK 3M3 gives you access to the latest algorithms and methods from research. The cooperation between the German Cancer Research Center (DKFZ) and mint medical allows for a rapid transfer of leading-edge research topics, including diffusion imaging and automated segmentation techniques. MITK 3M3 will be constantly extended with the addition of new software modules to bring the latest research work to your computer.

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