author =       {Armin Kanitsar and Thomas Theu{\ss}l and Lukas Mroz and Milo\v s \v Sr\'amek and 
                  Anna Vilanova Bartrol\'\i and Bal\'azs Cs\'ebfalvi and Ji{\v r}{\'{\i}} Hlad{\accent23u}vka and 
                  Dominik Fleischmann and Michael Knapp and Rainer Wegenkittl and Petr Felkel
		  and Stefan Röttger and Stefan Guthe and Werner Purgathofer and Meister Eduard Gröller},
  title =        {{C}hristmas {T}ree {C}ase {S}tudy: {C}omputed {T}omography as a {T}ool for {M}astering {C}omplex {R}eal {W}orld {O}bjects with {A}pplications in {C}omputer {G}raphics},
  booktitle =    {{IEEE} {V}isualization 2002},
  year =         {2002},
  month =        oct,
  pages =        {489--492},
  keywords =     {computed tomography angiography, vessel analysis, curved planar reformation},
  institution =  {Institute of Computer Graphics and Algorithms, Vienna University of Technology},
  url =          {http://www.cg.tuwien.ac.at/research/vis/Miscellaneous/xmt/},
  note =         {human contact: {kanitsar@cg.tuwien.ac.at}},
  abstract =     {We report on using computed tomography (CT) as a model acquisition
		  tool for complex objects in computer graphics. Unlike other modeling
		  and scanning techniques the complexity of the object is irrelevant in
		  CT, which naturally enables to model objects with, for example,
		  concavities, holes, twists or fine surface details. Once the data is
		  scanned, one can apply post-processing techniques for data
		  enhancement, modification or presentation. For demonstration purposes
		  we chose to scan a Christmas tree which exhibits high complexity which
		  is difficult or even impossible to handle with other
		  techniques. However, care has to be taken to achieve good scanning
		  results with CT.  Further, we illustrate post-processing by means
		  of data segmentation and photorealistic as well as non-photorealistic
		  surface and volume rendering techniques.
                  }
}