Drishti
From Wikipedia, the free encyclopedia
| Drishti | |
|---|---|
| Image:Drishti-screenshot.gif Drishti User Interface Image:Drishti-tooth.gif Volumetric view of a tooth in Drishti showing 2D transfer function capabilities | |
| Author | Ajay Limaye |
| Developer | ANU Vizlab |
| Latest release | 0.1.8 |
| OS | Unix/Linux, Mac OS X, Microsoft Windows |
| Genre | Scientific visualization, Interactive visualization |
| License | GNU General Public License Version 2 |
| Website | sf.anu.edu.au/Vizlab/drishti |
"The central idea about Drishti is that the scientists should be able to use it for exploring volumetric datasets as well as use it in presentations."
It has been used by the CSIRO for a number of purposes, such as volumetric visualisation of various computer tomography datasets. ANU Physics department, along with the author of the software, have used it for, amongst other things, the analysis of immiscible flow in massive 3D systems[1]. Further uses will be presented at APAC '07 [2].
[edit] Features
Image:Drishti-aneurism.png
Volumetric view of an aneurism in Drishti
Image:Drishti-streamlines.gif
Streamlines in Drishti
Drishti provides a number of features that would otherwise require several proprietary volume visualisation programs or that are simply not available together in other software:
- volume rendering: drawing a scalar function defined over a volumetric region of space with some translucent appearance so that the interior of the dataset can be observed.
- 2D Transfer functions (or Lookup tables): In addition to, or instead of thresholding, Drishti allows the user to apply transfer functions across "density" or "value" as well as gradient.
- clipping: removing some spatial region from a dataset.
- Streamlines
- Masking
- Brick Animations
- Realtime animation and movie export with:
- camera choreography (camera position, pan, rotation, zoom, etc.)
- transfer-function choreography
- time series choreography
- sub-volume choreography
- Importing DICOM image stack in addition to the current raw and processed (netCDF) volume file formats.
- Tensor visualization using superellipsoids
- Network (Graph) visualization
- Remap facility for remapping 16/32 bit volumes to 8 bit volumes
- Cropping and scaling facility for image stacks
- Cropping and scaling facility for RAW volumes
- Saving movies from the program
[edit] References
- ^ http://nf.apac.edu.au/annual_reports/2005/data/project_reports/Knackstedt_M_A_w09.html
- ^ http://www.apac.edu.au/apac07/pages/program/workshopforumdetails.htm

