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RT_Image

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Your rating: None Average: 3.7 (3 votes)

RT_Image is an application developed in the Department of Radiation Oncology and MIPS at Stanford University. Coded in the Interactive Data Language (IDL, ITT Visual Information Solutions), RT_Image was originally designed in 2003 to generate radiotherapy target volumes from positron emission tomography (PET) datasets. It has since evolved to embody a variety of tools for visualizing, quantitating, and segmenting three-dimensional images.

C# ECG Toolkit

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Your rating: None Average: 2.6 (16 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.

Vurtigo

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Your rating: None Average: 3 (2 votes)

Vurtigo is a four-dimensional (3D + time) real-time visualization software for guiding cardiovascular interventions. It is designed to be part of a pipeline that can connect it to a magnetic resonance imaging (MRI) scanner, actively tracked catheters, and navigational devices.

Written in C++ under the GNU Lesser General Public License v2.1, Vurtigo features a plug-in based architecture, allowing developers to extend the software using an interface to manipulate objects within Vurtigo. The software runs on Win32, Linux and Mac OS X.

AMIDE

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Your rating: None Average: 3.4 (8 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.).

Mayam

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Your rating: None Average: 1.9 (9 votes)

A Cross-platform DICOM viewer developed in Java using the dcm4che toolkit. Mayam is still work under progress. The current features are:

  • DICOM Listener for Q/R
  • DICOM Send
  • Local DB for storing study information
  • Importing DICOM studies from local disk
  • Parsing DicomDir from local disk or CD
  • Query compressed studies without decompressing them
  • Multiple Studies viewer using Layout,Tab view

MediPy

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Your rating: None Average: 3.3 (3 votes)

MediPy is a cross-platform software (Windows, Linux, Mac OS), dedicated to the visualization and processing aspects of medical imaging. It is targeted at both physicians and researchers, being both user-friendly and easy to extend. Physicians will benefit from the pre-programmed tasks (e.g. segmentation, registration, detection of lesions) and the possibility to record new tasks, tailoring the software to each user. The use of standard file formats (Analyze/Nifti, Dicom) allows to load image from many sources, as well as integrate to a PACS.

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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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.

Medical Imaging Interaction Toolkit (MITK)

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Your rating: None Average: 5 (11 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:

    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.

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