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Niftilib

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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.

DataViewer3D (DV3D)

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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.

FrameWork for Software Production Line (FW4SPL)

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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.

ClearCanvas

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Your rating: None Average: 3.6 (41 votes)

ClearCanvas Workstation is our friendly, integrated RIS Client and DICOM PACS viewer. Because it is built on top of our highly extensible application framework, we expect that it will be appropriate not just for radiologists and clinicians, but also researchers who want to build new, cutting edge tools that can be easily "tried out" in a clinical environment. Like our other creations, ClearCanvas Worksation is free and open source.

Feature Highlights

  • Very easy to use, intuitive interface
  • Integration with ClearCanvas RIS

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:

Ruby DICOM

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UBY DICOM is a cross-platform library for handling DICOM files and network communication in the Ruby language. DICOM is a standard that is widely used throughout the world for saving and transmitting image data used in medicine. The library supports reading, editing and writing files as well as querying, retrieving and sending files.

ezDICOM

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Your rating: None Average: 4.1 (7 votes)

ezDICOM is a medical viewer for MRI, CT and ultrasound images. It can read images from Analyze, DICOM, GE Genesis, Interfile, Siemens Magnetom, Siemens Somatom and NEMA formats. It also includes tools for converting medical images from proprietary format.

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.

pydicom

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pydicom is a pure python package for working with DICOM files. It was made for inspecting and modifying DICOM data in an easy "pythonic" way. The modifications can be written again to a new file. As a pure python package, it should run anywhere python runs without any other requirements.

pydicom is not a DICOM server, and is not primarily about viewing images. It is designed to let you manipulate data elements in DICOM files with python code.

ImageJ

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Your rating: None Average: 3.4 (14 votes)

ImageJ is a public domain Java image processing program inspired by NIH Image for the Macintosh. It runs, either as an online applet or as a downloadable application, on any computer with a Java 1.4 or later virtual machine. Downloadable distributions are available for Windows, Mac OS, Mac OS X and Linux.

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