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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.

    FrameWork for Software Production Line (FW4SPL)

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    Your rating: None Average: 3 (3 votes)

    FW4SPL is a component-oriented architecture with the notion of role-based programming. FW4SPL consists of a set of cross-platform C++ libraries. For now, FW4SPL focuses on the problem of medical images processing and visualization.

    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.

    DeVIDE

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    Your rating: None Average: 3.5 (2 votes)

    DeVIDE, or the Delft Visualisation and Image processing Development Environment, is a cross-platform software framework for the rapid prototyping, testing and deployment of visualisation and image processing algorithms. The software was developed within the Visualisation group. DeVIDE's primary (and currently only) front-end is a data-flow boxes-and-lines network editor. In this regard, it is very similar to AVS, OpenDX, Khoros or VISSION. DeVIDE integrates functionality from libraries such as VTK, ITK, GDCM, DCMTK, numpy and matplotlib. It is being very actively developed.

    Ogles2

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    Ogles2 is an interactive slice and volume visualization and analysis tool based on Open Inventor / Coin3D. Ogles2 allows for reproducing the workflow of frame based stereotactic neurosurgery. In the long run it strives for being an open source stereotactic planning and analysis system. Ogles2 is NOT APPROVED FOR CLINICAL USE.

    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.

    Visualization Toolkit (VTK)

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    Your rating: None Average: 2 (4 votes)

    The Visualization Toolkit (VTK) is an open-source, freely available software system for 3D computer graphics, image processing, and visualization. It consists of a C++ class library and several interpreted interface layers including Tcl/Tk, Java, and Python. VTK supports a wide variety of visualization algorithms including scalar, vector, tensor, texture, and volumetric methods, as well as advanced modeling techniques such as implicit modeling, polygon reduction, mesh smoothing, cutting, contouring, and Delaunay triangulation.

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