Variance Comparison for Volumetric Industrial CT Data

Information

• Publication Type: Technical Report
• Workgroup(s)/Project(s):
  • Visualization Group
• Date: December 2007
• Number: TR-186-2-07-12
• Keywords: Comparison, Variance

Abstract

This paper proposes a novel technique for the direct comparison of a surface model with the corresponding industrial CT volume. We do not require the generation of a mesh from the CT scan and instead perform comparison directly with the raw volume dataset. Our technique uses the information from the surface model to locate corresponding points in the CT dataset. We then compute various comparison metrics to perform distance analysis and normal analysis. The metrics are presented to the user both visually as well as quantitatively. The comparison techniques are divided into two groups namely global comparison techniques and local comparison techniques. The global techniques color code the datasets to provide an overview, while the local techniques can be used for a localized examination and for determining precise information about the deviation between datasets.

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BibTeX

@techreport{TR-186-2-07-12,
  title =      "Variance Comparison for Volumetric Industrial CT Data",
  author =     "Muhammad Muddassir Malik and Christoph Heinzl and Eduard
               Gr\"{o}ller",
  year =       "2007",
  abstract =   "This paper proposes a novel technique for the direct
               comparison of a surface model with the corresponding
               industrial CT volume. We do not require the generation of a
               mesh from the CT scan and instead perform comparison
               directly with the raw volume dataset. Our technique uses the
               information from the   surface model to locate corresponding
               points in the CT dataset. We then compute various comparison
               metrics to perform distance analysis and normal analysis.
               The metrics are presented to the user both visually as well
               as quantitatively. The comparison techniques are divided
               into two groups namely global comparison techniques and
               local comparison techniques. The global techniques color
               code the datasets to provide an overview, while the local
               techniques can be used for a localized examination and for
               determining precise information about the deviation between
               datasets.",
  month =      dec,
  number =     "TR-186-2-07-12",
  address =    "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria",
  institution = "Institute of Computer Graphics and Algorithms, Vienna
               University of Technology ",
  note =       "human contact: technical-report@cg.tuwien.ac.at",
  keywords =   "Comparison, Variance",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-12/",
}