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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.

Homepage: 
http://gdcm.sourceforge.net

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.

Homepage: 
http://www.openmicroscopy.org/

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.

Homepage: 
http://niftilib.sourceforge.net/

Conquest DICOM software

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Your rating: None Average: 3.5 (21 votes)

Full featured DICOM server based on and heavily extending the public domain UCDMC DICOM code developed by Mark Oskin.

Homepage: 
http://www.xs4all.nl/~ingenium/dicom.html

AMIDE

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Your rating: None Average: 3.8 (11 votes)

Amide's a Medical Imaging Data Examiner (AMIDE) is a completely free tool for viewing, analysing, and registering volumetric medical imaging data sets. It's been written on top of GTK+ , and runs on any system that supports this toolkit (Linux, Windows, Mac OS X with fink, etc.).

Homepage: 
http://amide.sourceforge.net/

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.

Homepage: 
http://xmedcon.sourceforge.net/

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.

Homepage: 
http://www.itk.org/

BioImageXD

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BioImageXD is a free open source software for analysis, processing and 3D rendering of multi dimensional, multi data channel, time series image data from microscopy and other sources.

BioImageXD is a collaborative open source free software project, designed and developed by microscopists, cell biologists and programmers from the Universities of Jyväskylä and Turku in Finland, Max Planck Institute CBG, Dresden, Germany and collaborators worldwide.

Homepage: 
http://www.bioimagexd.net/

DataViewer3D (DV3D)

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Your rating: None Average: 3 (1 vote)

DataViewer3D (DV3D) is a multi-modal imaging data visualization tool offering a cross-platform, open-source solution to simultaneous data overlay visualization requirements of imaging studies.

Homepage: 
https://www.ynic.york.ac.uk/software/dv3d

Medical Exploration Toolkit (METK)

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Your rating: None Average: 1.8 (4 votes)

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

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