You are here

Project Wizard

You can use the category filters given on the right sidebar to narrow down your search results.

Vurtigo

Rating: 
Your rating: None Average: 3 (3 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.

ezDICOM

Rating: 
Your rating: None Average: 4 (6 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.

Ginkgo CADx

Rating: 
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:

Oviyam

Rating: 
Your rating: None Average: 3.7 (7 votes)

Oviyam is a web based DICOM Viewer. Using standard DICOM protocols patient lists can be queried, particular series or studies retrieved and be displayed as JPEG images in your browser. Oviyam will work with any DICOM server that supports WADO (Web Access to DICOM Persistent Objects).

Oviyam is a free download and is pre-packaged for deployment with JBoss.
The source is triple licensed under MPL 1.1/GPL 2.0/LGPL 2.1.

Oviyam is built using the dcm4che toolkit and script.aculo.us framework.

Charrua DICOM Toolkit

Rating: 
Your rating: None Average: 3 (2 votes)

DICOM basic constructs used to create the tools at CharruaSoft.com. Its C++ code is a re-interpretation of the original UCDMC library by Mark Oskin. It tries to be much simpler and compact, also uses many Borland VCL specific structures.

Dicom Widow

Rating: 
Your rating: None Average: 2.5 (4 votes)

WIndows Dicom Open Viewer, is a simple viewer for DICOM medical images, to be used especially on removable devices (such as Patient CDs). It is partially based on ezDICOM sources.

DicomBrowser

Rating: 
Your rating: None Average: 4.5 (2 votes)

DicomBrowser is an application for inspecting and modifying DICOM metadata in many files at once. A single imaging session can produce thousands of DICOM files; DicomBrowser allows users to view and edit a whole session—or even multiple sessions—at once. Users can save the original or modified files to disk, or send them across a network to a DICOM C-STORE service class provider, such as a PACS or an XNAT.

ImageJ

Rating: 
Your rating: None Average: 3.5 (11 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.

DataViewer3D (DV3D)

Rating: 
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.

MIView

Rating: 
Your rating: None Average: 2.1 (7 votes)

MIView is an OpenGL based medical image viewer that contains useful tools such as a DICOM anonymizer and format conversion utility. MIView can read DICOM, Analyze/Nifti, and raster images, and can write Analyze/Nifti and raster images. It can also read and convert DICOM mosaic images. The main goal of MIView is to provide a platform to load any type of medical image and be able to view and manipulate the image. Volume rendering is the main type of advanced visualization that I'm trying to implement.

Pages