Enhancing Visualization with Real-Time Frequency-based Transfer Functions

Erald Vuçini, Daniel Patel, Meister Eduard Gröller
Enhancing Visualization with Real-Time Frequency-based Transfer Functions
In Proceedings of IS&T/SPIE Conference on Visualization and Data Analysis, pages 78680L-1-78680L-12. January 2011.
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Abstract

Transfer functions have a crucial role in the understanding and visualization of 3D data. While research has scrutinized the possible uses of one and multi-dimensional transfer functions in the spatial domain, to our knowledge, no attempt has been done to explore transfer functions in the frequency domain. In this work we propose transfer functions for the purpose of frequency analysis and visualization of 3D data. Frequency-based transfer functions offer the possibility to discriminate signals, composed from different frequencies, to analyze problems related to signal processing, and to help understanding the link between the modulation of specific frequencies and their impact on the spatial domain. We demonstrate the strength of frequency-based transfer functions by applying them to medical CT, ultrasound and MRI data, physics data as well as synthetic seismic data. The interactive design of complex filters for feature enhancement can be a useful addition to conventional classification techniques.

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@inproceedings{vucini-2011,
  title =      "Enhancing Visualization with Real-Time Frequency-based
               Transfer Functions",
  author =     "Erald  Vu{\c c}ini and Daniel Patel and Meister Eduard
               Gr{\"o}ller",
  year =       "2011",
  abstract =   "Transfer functions have a crucial role in the understanding
               and visualization of 3D data. While research has scrutinized
               the possible uses of one and multi-dimensional transfer
               functions in the spatial domain, to our knowledge, no
               attempt has been done to explore transfer functions in the
               frequency domain. In this work we propose transfer functions
               for the purpose of frequency analysis and visualization of
               3D data. Frequency-based transfer functions offer the
               possibility to discriminate signals, composed from different
               frequencies, to analyze problems related to signal
               processing, and to help understanding the link between the
               modulation of specific frequencies and their impact on the
               spatial domain. We demonstrate the strength of
               frequency-based transfer functions by applying them to
               medical CT, ultrasound and MRI data, physics data as well as
               synthetic seismic data. The interactive design of complex
               filters for feature enhancement can be a useful addition to
               conventional classification techniques.",
  pages =      "78680L-1--78680L-12",
  month =      jan,
  organization = "IS&T/SPIE",
  booktitle =  "Proceedings of IS&T/SPIE Conference on Visualization and
               Data Analysis",
  isbn =       "978-0-8194-8405-5",
  series =     "7868",
  location =   "San Francisco, USA",
  keywords =   "Real Time, Data Enhancement, Frequency Analysis, Transfer
               Function, Volume Rendering",
  URL =        "http://www.cg.tuwien.ac.at/research/publications/2011/vucini-2011/",
}