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MITK 3M3

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Your rating: None Average: 4 (3 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.

Homepage: 
http://www.mint-medical.de/productssolutions/mitk3m3/mitk3m3/

Medical Imaging Interaction Toolkit (MITK)

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Your rating: None Average: 4.8 (12 votes)

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:

Homepage: 
http://www.mitk.org

EEG-Holter

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EEG-Holter is designed for analysis of long-term EEG - Holter. Java developed, it supports medical and logbook anotations, epileptic events data, graphics and EDF files.

Homepage: 
http://sourceforge.net/projects/eegholter/

MRmap

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Your rating: None Average: 3.2 (14 votes)

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.

Homepage: 
http://sourceforge.net/projects/mrmap/

C# ECG Toolkit

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Your rating: None Average: 2.5 (17 votes)

C# ECG Toolkit is an open source software toolkit to convert, view and print electrocardiograms. The toolkit is developed using C# .NET 1.1 & 2.0. Support for ECG formats: SCP-ECG, DICOM and HL7 aECG.

Homepage: 
http://sourceforge.net/projects/ecgtoolkit-cs/

dicompyler

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Your rating: None Average: 3.8 (9 votes)

dicompyler is an extensible, fully open source radiation therapy research platform based on the DICOM standard. It also functions as a cross-platform viewer for DICOM and DICOM RT objects. dicompyler is written in Python and is built on pydicom, wxPython, PIL, and matplotlib and runs on Windows, Mac OS X and Linux.

Homepage: 
http://code.google.com/p/dicompyler/

IDRT - Integrated Data Repository Toolkit

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i2b2 has turned out to be a very valuable component for secondary use of routine clinical data. Its pragmatic database schema allows merging of data from heterogeneous data sources, and the intuitive user interface enables easy querying and powerful processing. However, it's a component rather than a complete solution: The user is facing several barriers when integrating i2b2 into the operational workflow.

Homepage: 
http://idrt.imise.uni-leipzig.de/IDRT-II

ParaView

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Your rating: None Average: 4 (1 vote)

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.

Homepage: 
http://www.paraview.org/

Visualization Toolkit (VTK)

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Your rating: None Average: 2.3 (6 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.

Homepage: 
http://www.vtk.org/

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