Comparative Visualization for Parameter Studies of Dataset Series

Muhammad Muddassir Malik, Christoph Heinzl, Meister Eduard Gröller
Comparative Visualization for Parameter Studies of Dataset Series
IEEE Transaction on Visualization and Computer Graphics (TVCG), 16(5): 829-840 , September 2010. [image]

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Abstract

This paper proposes comparison and visualization techniques to carry out parameter studies for the special application area of dimensional measurement using 3D X-ray computed tomography (3DCT). A dataset series is generated by scanning a specimen multiple times by varying parameters of an industrial 3DCT device. A high-resolution series is explored using our planar-reformatting-based visualization system. We present a novel multi-image view and an edge explorer for comparing and visualizing gray values and edges of several datasets simultaneously. Visualization results and quantitative data are displayed side by side. Our technique is scalable and generic. It can be effective in various application areas like parameter studies of imaging modalities and dataset artifact detection. For fast data retrieval and convenient usability, we use bricking of the datasets and efficient data structures. We evaluate the applicability of the proposed techniques in collaboration with our company partners.

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BibTeX

@article{malik-2010-cvp,
  title =      "Comparative Visualization for Parameter Studies of Dataset
               Series",
  author =     "Muhammad Muddassir Malik and Christoph Heinzl and Meister
               Eduard Gr{"o}ller",
  year =       "2010",
  abstract =   "This paper proposes comparison and visualization techniques
               to carry out parameter studies for the special application
               area of dimensional measurement using 3D X-ray computed
               tomography (3DCT). A dataset series is generated by scanning
               a specimen multiple times by varying parameters of an
               industrial 3DCT device. A high-resolution series is explored
               using our planar-reformatting-based visualization system. We
               present a novel multi-image view and an edge explorer for
               comparing and visualizing gray values and edges of several
               datasets simultaneously. Visualization results and
               quantitative data are displayed side by side. Our technique
               is scalable and generic. It can be effective in various
               application areas like parameter studies of imaging
               modalities and dataset artifact detection. For fast data
               retrieval and convenient usability, we use bricking of the
               datasets and efficient data structures. We evaluate the
               applicability of the proposed techniques in collaboration
               with our company partners.",
  month =      sep,
  issn =       "1077-2626 ",
  journal =    "IEEE Transaction on Visualization and Computer Graphics
               (TVCG)",
  number =     "5",
  volume =     "16",
  pages =      " 829--840 ",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2010/malik-2010-cvp/",
}