1. Cross-Platform Ubiquitous Volume Rendering Using Programmable Shaders in VTK for Scientific and Medical Visualization
- Author
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Aashish Chaudhary, Allison Vacanti, Marcus D. Hanwell, Lisa Sobierajski Avila, William J. Schroeder, Sankhesh Jhaveri, Alvaro Sanchez, and Ken Martin
- Subjects
Diagnostic Imaging ,Computer science ,Graphics hardware ,OpenGL ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Graphics processing unit ,02 engineering and technology ,Rendering (computer graphics) ,Computer graphics ,Data visualization ,Computer graphics (images) ,Image Interpretation, Computer-Assisted ,Computer Graphics ,Image Processing, Computer-Assisted ,0202 electrical engineering, electronic engineering, information engineering ,Humans ,Shader ,ComputingMethodologies_COMPUTERGRAPHICS ,business.industry ,Torso ,020207 software engineering ,Volume rendering ,Computer Graphics and Computer-Aided Design ,Visualization ,Polygon ,business ,Clipping (computer graphics) ,Tooth ,Algorithms ,Software - Abstract
The visualization toolkit (VTK) is a popular cross-platform, open source toolkit for scientific and medical data visualization, processing, and analysis. It supports a wide variety of data formats, algorithms, and rendering techniques for both polygonal and volumetric data. In particular, VTK's volume rendering module has long provided a comprehensive set of features such as plane clipping, color and opacity transfer functions, lighting, and other controls needed for visualization. However, due to VTK's legacy OpenGL backend and its reliance on a deprecated API, the system did not take advantage of the latest improvements in graphics hardware or the flexibility of a programmable pipeline. Additionally, this dependence on an antiquated pipeline posed restrictions when running on emerging computing platforms, thereby limiting its overall applicability. In response to these shortcomings, the VTK community developed a new and improved volume rendering module, which not only provides a modern graphics processing unit-based implementation, but also augments its capabilities with new features such as fast volume clipping, gradient-magnitude-based opacity modulation, render to texture, and hardware-based volume picking.
- Published
- 2019
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