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ImageJ

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Your rating: None Average: 3.6 (9 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.

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.

Java Light PACS Viewer (jlpv)

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Your rating: None Average: 1.7 (3 votes)

jlpv is a Java Light PACS Viewer application useful for review series or images from DICOM data retrieved from the DCM4CHEE PACS system. It also uses ImageJ as a rendering engine or viewer. This project is in a early stage.

V3D-Viewer

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Your rating: None Average: 4 (2 votes)

V3D-Viewer is a DICOM and "Philips V3D 3DRA" Medical Volume Viewer based on .NET and the VTK library. With marching cubes, 3d planes and (3D texture) volume rendering, including histogram transparency and intensity curve selection tool.

Kradview

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Kradview is a GPLed viewer of images obtained for some different sources: X-ray, NMR and DICOM-compatible imaging devices that runs on free operating systems. Its aim is a easy to use DICOM viewer with instant rendering of images, no matter the size and the zoom of the DICOM image. It covers the "let's see the the X-ray image" need of the medical professional.

iRad

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Your rating: None Average: 3 (1 vote)

Rad is a DICOM workstation written in Cocoa for MacOSX. Using QuickTime, OpenGL, and open source databases iRad aims to provide an easy and efficient way to review medical images from CT, MRI, ultrasound, and other DICOM sources such as angiography.

MITK 3M3

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Your rating: None Average: 4 (2 votes)

MITK 3M3 is a free and user-friendly application which ensures effective and efficient work, analysis, and visualization of radiological image data.

MITK 3M3 gives you access to the latest algorithms and methods from research. The cooperation between the German Cancer Research Center (DKFZ) and mint medical allows for a rapid transfer of leading-edge research topics, including diffusion imaging and automated segmentation techniques. MITK 3M3 will be constantly extended with the addition of new software modules to bring the latest research work to your computer.

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.

Droid Dicom Viewer

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Your rating: None Average: 4 (5 votes)

Droid Dicom Viewer is a DICOM Viewer for the Android platform.

Droid Dicom Viewer implements a part of the DICOM standard. It reads DICOM images that are coded on 8 bits and 16 bits. It supports only grayscale not compressed DICOM files. It parses implicit and explicit (little endian and big endian) value representation (VR).

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