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XMedCon

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Your rating: None Average: 1.9 (7 votes)

The project stands for Medical Image Conversion. Released under the (L)GPL licence, it comes with the full C-source code of the library, a flexible command-line utility and a neat graphical front-end using the Gtk+ toolkit. The supported formats are: Acr/Nema 2.0, Analyze (SPM), Concorde/µPET, DICOM 3.0, CTI ECAT 6/7, NIfTI-1, InterFile3.3 and PNG or Gif87a/89a.

Insight Segmentation and Registration Toolkit (ITK)

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Your rating: None Average: 3.2 (5 votes)

ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both.

FieldTrip

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Your rating: None Average: 1 (8 votes)

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.

Ginkgo CADx

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Your rating: None Average: 3.8 (6 votes)

Ginkgo CADx project started in 2009 with the aim to create an interactive, universal, homogeneous, open-source and cross-platform CADX environment.

Ginkgo is built over a huge amount of advanced technologies providing full abstraction of complex tasks as:

Brainstorm

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Your rating: None Average: 1 (18 votes)

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.

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.

Dicom3tools

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Your rating: None Average: 4.2 (5 votes)

"Command line utilities for creating, modifying, dumping and validating files of DICOM attributes, and conversion of proprietary image formats to DICOM. Can handle older ACR/NEMA format data, and some proprietary versions of that such as SPI."

OMERO

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Your rating: None Average: 5 (2 votes)

OMERO is client-server software for visualisation, management and analysis of biological microscope images.

From the microscope to publication, OMERO handles all your images in a secure central repository. You can view, organise, analyse and share your data from anywhere you have internet access. Work with your images from a desktop app (Windows, Mac or Linux), from the web or from 3rd party software.

Grassroots DICOM (GDCM)

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Your rating: None Average: 3.7 (11 votes)

Grassroots DICOM (GDCM) is an implementation of the DICOM standard designed to be open source so that researchers may access clinical data directly. GDCM includes a file format definition and a network communications protocol, both of which should be extended to provide a full set of tools for a researcher or small medical imaging vendor to interface with an existing medical database.

Niftilib

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Your rating: None Average: 3 (3 votes)

Niftilib is a set of i/o libraries for reading and writing files in the nifti-1 data format. nifti-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images.

Niftilib currently has C, Java, MATLAB, and Python libraries; we plan to add some MATLAB/mex interfaces to the C library in the not too distant future.

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