An Advanced Data Structure for Large Medical Datasets

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

@mastersthesis\{hartmann-2005-adv,
  title =      "An Advanced Data Structure for Large Medical Datasets",
  author =     "Alexander Hartmann",
  year =       "2005",
  abstract =   "The size of volumetric data acquired from computed
               tomography scanning devices is steadily increasing, which
               often makes it impractical to store the whole data in
               physical memory. Therefore, e±cient data structures are re-
               quired. In this thesis several data structures are examined
               in respect to application for computed
               tomography-angiography. In particular, memory consumption
               and performance of visualization are addressed.
               Additionally, a data structure based on adaptive meshes is
               implemented. This data struc- ture can leverage resources
               where they are needed. In order to generate the adaptive
               meshes, two di®erent algorithms are explained and compared
               to each other. The most common visualization techniques for
               angiography are described.",
  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/hartmann-2005-adv/",
}