@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.",
pdf = "pdfs/Bruckner-2008-IIV-Thesis.pdf",
images = "images/Bruckner-2008-IIV-Thesis.jpg",
thumbnails = "images/Bruckner-2008-IIV-Thesis.png",
affiliation = "tuwien",
keywords = "visual analysis, visual exploration, volume data",
url = "//www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/"
}