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Medical Exploration Toolkit (METK)

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The MedicalExplorationToolkit (METK) was designed for loading, visualizing and exploring segmented medical data sets. It is a framework of several modules in MeVisLab, a development environment for medical image processing and visualization.

  • Case Management: Load and save whole cases of segmented structures e.g. for surgery planning, educational training or intra operative visualization.
  • Basic Visualization in 2D and 3D: Visualize segmented structures in multiple manner e.g. iso surface rendering, stippling, hatching, silhouettes, volume rendering, 2d overlays.
Homepage: 
http://www.metk.net

FieldTrip

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FieldTrip is a Matlab software toolbox for MEG and EEG analysis that is being developed at the Centre for Cognitive Neuroimaging of the Donders Institute for Brain, Cognition and Behaviour together with collaborating institutes. The development of FieldTrip is currently by funding from the BrainGain and the Human Connectome projects.

Homepage: 
http://fieldtrip.fcdonders.nl/

ctapi-mkt

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Your rating: None Average: 2 (5 votes)

Library and program to read the german health insurance card (KVK) and the german electronic health card (eGK) from a certified card reading device on the serial port in Linux with kernel 2.6.x.

Homepage: 
http://sourceforge.net/projects/ctapi-mkt/

Brainstorm

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Brainstorm is a collaborative open-source Matlab application dedicated to magnetoencephalography (MEG) and electroencephalography(EEG) data visualization, processing and cortical source estimation.
The intention is to make a comprehensive set of tools available to the scientific community involved in MEG/EEG experimental research.
For physicians and researchers, the interest of this software package resides in its rich and intuitive graphic interface, which does not require any programming knowledge.

Homepage: 
http://neuroimage.usc.edu/brainstorm

GT.M

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Your rating: None Average: 3.3 (3 votes)

GT.M is a FOSS (AGPL v3) implementation of M (also known as MUMPS), a combination of a procedural programming language well integrated with a hierarchical key-value database engine. M is widely used in enterprise scale healthcare applications and application suites, such as the VistA implementations. GT.M scales up to very large databases (the largest production sites have aggregate databases to several TB) and thousands of concurrent users.

Homepage: 
http://fisglobal.com/Products/TechnologyPlatforms/GTM/index.htm

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.

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

FreeB

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Your rating: None Average: 3 (6 votes)

FreeB was the first GPL Medical Billing Engine. FreeB supports the HCFA 1500 and X12 837p 4010a formats. FreeB 2.0 (PHP) is developed by Uversa Inc. and SynSeer. FreeB 1.0 (Perl) is still used by the OpenEMR project.

Homepage: 
http://freeb.org/

iRad

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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.

Homepage: 
http://irad.sourceforge.net/

The R Project for Statistical Computing

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Your rating: None Average: 3 (4 votes)

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R."

Homepage: 
http://www.r-project.org/

BioSig

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BioSig is an open source software library for biomedical signal processing, featuring for example the analysis of biosignals such as the electroencephalogram (EEG), electrocorticogram (ECoG), electrocardiogram (ECG), electrooculogram (EOG), electromyogram (EMG), respiration, and so on. Major application areas are: Neuroinformatics, brain-computer interfaces, neurophysiology, psychology, cardiovascular systems and sleep research. The aim of the BioSig project is to foster research in biomedical signal processing by providing open source software tools for many different applications.

Homepage: 
http://biosig.sourceforge.net/

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