D²VR High-Quality Volume Rendering of Projection-based Volumetric Data

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• Publication Type: Master Thesis
• First Supervisor: Grimm, Gröller

@mastersthesis\{rautek-2005-dvr,
  title =      "D²VR High-Quality Volume Rendering of Projection-based
               Volumetric Data",
  author =     "Peter Rautek",
  year =       "2005",
  abstract =   "Volume rendering techniques are conventionally classified
               into two categories represented by direct and indirect
               methods. Indirect methods require to transform the initial
               volumetric model into an intermediate geometrical model in
               order to efficiently visualize it. In contrast, direct
               volume-rendering (DVR) methods can directly process the
               volumetric data. Modern 3D scanning technologies, like CT or
               MRI, usually provide data as a set of samples on rectilinear
               grid points, which are computed from the measured
               projections by discrete tomographic reconstruction.
               Therefore the set of these reconstructed samples can already
               be considered as an intermediate volume representation. In
               this diploma thesis a new paradigm for direct direct volume
               rendering (D2VR) is introduced, which does not even require
               a rectilinear grid, since it is based on an immediate
               processing of the measured projections. Arbitrary samples
               for ray casting are reconstructed from the projections by
               using the Filtered Back-Projection algorithm. The method
               presented in this thesis removes an unnecessary and lossy
               resampling step from the classical volume rendering
               pipeline. Thus, it provides much higher accuracy than
               traditional grid-based resampling techniques do. Furthermore
               a novel high-quality gradient estimation scheme, which is
               also based on the Filtered Back-Projection algorithm is
               presented. Finally we introduce a hierarchical space
               partitioning approach for projection-based volumetric data,
               which is used to accelerate D²VR.",
  address =    "Favoritenstrasse 9-11/186, A-1040 Vienna, Austria",
  school =     "Institute of Computer Graphics and Algorithms, Vienna
               University of Technology",
  URL =        "http://www.cg.tuwien.ac.at/research/publications/2005/rautek-2005-dvr/",
}