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Interactive Illustrative Volume Visualization

Stefan Bruckner

OTHER PUBLICATION: PhD Thesis, Vienna University of Technology, Austria, 2008.

Abstract

Illustrations are essential for the effective communication of complex subjects. Their production, however, is a difficult and expensive task. In recent years, three-dimensional imaging has become a vital tool not only in medical diagnosis and treatment planning, but also in many technical disciplines (e.g., material inspection), biology, and archeology. Modalities such as X-Ray Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) produce high-resolution volumetric scans on a daily basis. It seems counter-intuitive that even though such a wealth of data is available, the production of an illustration should still require a mainly manual and time-consuming process. This thesis is devoted to the computer-assisted generation of illustrations directly from volumetric data using advanced visualization techniques. The concept of a direct volume illustration system is introduced for this purpose. Instead of requiring an additional modeling step, this system allows the designer of an illustration to work directly on the measured data. Abstraction, a key component of traditional illustrations, is used in order to reduce visual clutter, emphasize important structures, and reveal hidden detail. Low-level abstraction techniques are concerned with the appearance of objects and allow flexible artistic shading of structures in volumetric data sets. High-level abstraction techniques control which objects are visible. For this purpose, novel methods for the generation of ghosted and exploded views are introduced. The visualization techniques presented in this thesis employ the features of current graphics hardware to achieve interactive performance. The resulting system allows the generation of expressive illustrations directly from volumetric data with applications in medical training, patient education, and scientific communication.

Published

PhD Thesis

Documents and Links

  • paper
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Additional Media

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BibTeX

@PHDTHESIS{Bruckner-2008-IIV-Thesis,
  author = {Stefan Bruckner},
  title = {Interactive Illustrative Volume Visualization},
  school = {Vienna University of Technology, Austria},
  year = {2008},
  month = apr,
  abstract = {Illustrations are essential for the effective communication of complex
	subjects. Their production, however, is a difficult and expensive
	task. In recent years, three-dimensional imaging has become a vital
	tool not only in medical diagnosis and treatment planning, but also
	in many technical disciplines (e.g., material inspection), biology,
	and archeology. Modalities such as X-Ray Computed Tomography (CT)
	and Magnetic Resonance Imaging (MRI) produce high-resolution volumetric
	scans on a daily basis. It seems counter-intuitive that even though
	such a wealth of data is available, the production of an illustration
	should still require a mainly manual and time-consuming process.
	This thesis is devoted to the computer-assisted generation of illustrations
	directly from volumetric data using advanced visualization techniques.
	The concept of a direct volume illustration system is introduced
	for this purpose. Instead of requiring an additional modeling step,
	this system allows the designer of an illustration to work directly
	on the measured data. Abstraction, a key component of traditional
	illustrations, is used in order to reduce visual clutter, emphasize
	important structures, and reveal hidden detail. Low-level abstraction
	techniques are concerned with the appearance of objects and allow
	flexible artistic shading of structures in volumetric data sets.
	High-level abstraction techniques control which objects are visible.
	For this purpose, novel methods for the generation of ghosted and
	exploded views are introduced. The visualization techniques presented
	in this thesis employ the features of current graphics hardware to
	achieve interactive performance. The resulting system allows the
	generation of expressive illustrations directly from volumetric data
	with applications in medical training, patient education, and scientific
	communication.},
  keywords = {visual analysis, visual exploration, volume data},
  url = {http://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/}
}






 Last Modified: Stefan Bruckner, 2014-08-15