VTK
Free software system for 3D computer graphics, image processing and visualization
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Through Digital image processing, Java (programming language) and Python (programming language)
VTK is distributed under the GNU-approved and FSF-approved BSD 3-clause License.
Functionality
VTK consists of a C++ class library and several interpreted interface layers including Tcl/Tk, Java, and Python. The toolkit is created and supported by the Kitware team. VTK supports various visualization algorithms including: scalar, vector, tensor, texture, and volumetric methods; and advanced modeling techniques such as: implicit modeling, polygon reduction, mesh smoothing, cutting, contouring, and Delaunay triangulation. VTK has an information visualization framework, has a suite of 3D interaction widgets, supports parallel processing, and integrates with various databases and GUI toolkits such as Qt and Tk. VTK is cross-platform and runs on Linux, Windows, Mac and Unix platforms. The core of VTK is implemented as a C++ toolkit, requiring users to build applications by combining various objects into an application. The system also supports automated wrapping of the C++ core into Python, Java and Tcl, so that VTK applications may also be written using these programming languages.
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History
VTK was initially created in 1993 as companion software to the book The Visualization Toolkit: An Object-Oriented Approach to 3D Graphics. The book and software were written by three researchers (Will Schroeder, Ken Martin and Bill Lorensen) on their own time and with permission from General Electric (thus the ownership of the software resided with, and continues to reside with, the authors). After the core of VTK was written, users and developers around the world began to improve and apply the system to real-world problems.
With the founding of Kitware, the VTK community grew rapidly, and toolkit usage expanded into academic, research and commercial applications. A number of major companies and organizations, such as Sandia National Laboratories, Livermore National Laboratory, Los Alamos National Laboratory funded the development of VTK and even developed a number of VTK modules themselves. VTK forms the core of the 3DSlicer biomedical computing application, and numerous research papers at IEEE Visualization and other conferences based on VTK have appeared. VTK has been used on a large 1024-processor computer at the Los Alamos National Laboratory to process nearly a Petabyte of data.
Later VTK was expanded to support the ingestion, processing and display of informatics data. This work was supported by Sandia National Laboratories under the 'Titan' project.
Criticism
In 2013, a survey paper on visualization for radiotherapy noticed that while VTK is a powerful and widely known toolkit, it lacked a number of important features, such as multivolume rendering, had no support of proprietary CUDA from NVidia, no support of out-of-core rendering and no native support for visualization of time-dependent volumetric data.
However, since 2013 there have been improvements such as VTK-m which can speed-up and parallelize certain computationally intensive tasks using libraries like Sandia's Kokkos. VTK is also used in the visualization pipeline of radiological imaging software such as MEDInria or Starviewer which perform multi-volume (also called fusion) and time-dependent (also called phase) visualizations.