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Medical Imaging Interaction Toolkit (MITK)

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The Medical Imaging Interaction Toolkit (MITK) is a free open-source software system for development of interactive medical image processing software. MITK combines the Insight Toolkit (ITK) and the Visualization Toolkit (VTK) with an application framework. As a toolkit, MITK offers those features that are relevant for the development of interactive medical imaging software covered neither by ITK nor VTK.

Core features of the MITK platform:

    Mayam

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    Your rating: None Average: 1.9 (9 votes)

    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

    MediPy

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    Your rating: None Average: 3.3 (3 votes)

    MediPy is a cross-platform software (Windows, Linux, Mac OS), dedicated to the visualization and processing aspects of medical imaging. It is targeted at both physicians and researchers, being both user-friendly and easy to extend. Physicians will benefit from the pre-programmed tasks (e.g. segmentation, registration, detection of lesions) and the possibility to record new tasks, tailoring the software to each user. The use of standard file formats (Analyze/Nifti, Dicom) allows to load image from many sources, as well as integrate to a PACS.

    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.

    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.

    ParaView

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    ParaView is an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques. The data exploration can be done interactively in 3D or programmatically using ParaView's batch processing capabilities.

    ParaView was developed to analyze extremely large datasets using distributed memory computing resources. It can be run on supercomputers to analyze datasets of terascale as well as on laptops for smaller data.

    ViMeT

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    Your rating: None Average: 2.3 (4 votes)

    Virtual Medical Training (ViMeT) is an object-oriented framework that uses virtual reality to simulate medical training.