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Voreen

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Voreen

Overview

Synopsis

Voreen is an open source rapid application development framework for the interactive visualization and analysis of multi-modal volumetric data sets.

Category

Chart Builder Software Open Source

Features

• Out-of-core rendering
• Automated network layout
• SliceViewer supports multi-channel volumes
• Transfer function supports gamma correction
• Quad-buffered stereo rendering
• Scale legend for BoundingBoxRenderer and SliceViewer
• Pong processor

License

Open Source

Price

Free

Pricing

Subscription

Free Trial

Available

Users Size

Small (<50 employees), Medium (50 to 1000 Enterprise (>1001 employees)

Company

Voreen

URL

https://www.uni-muenster.de

What is best?

• Out-of-core rendering
• Automated network layout
• SliceViewer supports multi-channel volumes
• Transfer function supports gamma correction
• Quad-buffered stereo rendering

PAT Rating™

Editor Rating

Aggregated User Rating

Rate Here

Ease of use

7.8

6.3

Features & Functionality

7.6

8.9

Advanced Features

7.6

8.4

Integration

7.7

8.7

Performance

7.7

8.9

Customer Support

7.8

8.0

Implementation

9.3

Renew & Recommend

8.0

Bottom Line

Voreen is an open source rapid application development framework for the interactive visualization and analysis of multi-modal volumetric data sets.

7.7

Editor Rating

8.3

Aggregated User Rating

3 ratings

You have rated this

Voreen (volume rendering engine) is an open source volume visualization library and development platform which allows high frame rates on standard graphics hardware to support interactive volume exploration through the use of GPU-based volume rendering techniques.

Voreen offers features such as direct volume rendering (DVR), ISO surface rendering, maximum intensity projection (MIP), support of different illumination models like Phong reflection model, tone shading, ambient occlusion, Interactive internal and external labeling, flexible combination of image processing operators such as depth darkening, glow, chromadepth and edge detection, Glyph-based visualization of multimodal datasets.

It also offers visualization of time-varying as well as segmented 3D datasets, support for 1D and 2D transfer functions/CLUTs, up to 6 axis aligned clipping planes, editors for 1D and 2D transfer functions, editable lighting and material parameters, distance measurements, support for several volume file formats such as DICOM, TIFF stacks, RAW, interfile and Vevo, preprocessing capabilities such as volume cropping, gradient calculation, downscaling and filtering, high-resolution screenshot and camera animation generation with anti-aliasing and Python scripting for offline image processing and visualization.

Voreen lets users who only want to access a certain visualization simply need to employ the appropriate processors or networks and do not need to care about technical details.

Voreen is written in C++ utilizing the Qt framework and using the OpenGL rendering acceleration API, and is able to achieve high interactive frame rates on consumer graphics hardware. Voreen is platform independent and compiles on Windows, Linux and Mac OS X. Voreen is intended and mostly used for medical applications but any other kind of volume data can be handled such as microscopy and flow data.

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1 Reviews

Leave a Review

Edward
April 14, 2017 at 6:38 pm

Interactive internal and external labeling. Flexible combination of image processing operators.
Company size
Enterprise (>1001)

User Role
Executive
User Industry
Computer
Rating
Ease of use8.9
Features & Functionality8.7
Advanced Features8.9
The Voreen framework consists of a multi-platform C++ library, which can be easily integrated into existing applications, and a Qt-based stand-alone application.
Integration8
Training 8
Customer Support8
Renew & Recommend8

ADDITIONAL INFORMATION
Voreen is an open source rapid application development framework for the interactive visualization and analysis of multi-modal volumetric data sets. It provides GPU-based volume rendering and data analysis techniques and offers high flexibility when developing new analysis workflows in collaboration with domain experts.