ImageVis3D is a new volume rendering program developed by the NIH/NCRR Center for Integrative Biomedical Computing (CIBC). The main design goals of ImageVis3D are: scalability, simplicity and interactivity.Simplicity is achieved with a new user interface that gives an unprecedented level of flexibility (as shown in the images).
Scalability and interactivity for ImageVis3D mean that both on a notebook computer as well as on a high end graphics workstation, the user can interactively explore terabyte sized data sets. Finally, the open source nature as well as the strict component-by-component design allow developers not only to extend ImageVis3D itself but also reuse parts of it, such as the rendering core. This rendering core for instance is planned to replace the volume rendering subsystems in many applications at the SCI Institute and with our collaborators.
ImageVis3D is an Open Source software project that is principally funded through the SCI Institute's NIH/NCRR CIBC Center and the DOE VACET. Please use the following acknowledgment and send us references to any publications, presentations, or successful funding applications that make use of ImageVis3D software or accompanying data sets.
Note: ImageVis3D should run on practically any modern PC or Mac. It requires a graphics card that supports OpenGL 2.0, or version 1.4 with extensions supporting GLSL shaders. To our best knowledge, nearly all graphics cards fulfill that requirement. With some older cards, you may be required to use the "Slice based" renderer (the default) instead of the ray casting renderer (which has better quality).
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What's New in This Release: [ read full changelog ]
· The default lighting parameters were improved.
· The histogram that backs the 1D transfer function editor was anti-aliased, and it is now easier to see the boundary (min/max) values in the same histogram.
· More intelligent quantization is performed when there are 'flag' data sets which somehow ended up as floating point.
· Memory is reused if a single data set is opened multiple times.
· Normals can now be read from PLY files.
· Histogram scale parameters are saved per-dataset.
· The clip plane state is copied when cloning windows.
· A bug with loading transfer function libraries on Mac and Linux was fixed.
· Visual Studio 2010 support was added.
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