Alexey Karimov, Gabriel Mistelbauer, Johanna Schmidt, Peter Mindek, Elisabeth Schmidt, Timur Sharipov, Stefan Bruckner, Eduard Gröller
ViviSection: Skeleton-based Volume Editing
Computer Graphics Forum, 32(3):461-470, June 2013.

Information

  • Publication Type: Journal Paper with Conference Talk
  • Workgroup(s)/Project(s):
  • Date: June 2013
  • Date (from): 17. June 2013
  • Date (to): 21. June 2013
  • Event: Event where a paper is presented
  • Journal: Computer Graphics Forum
  • Lecturer: Alexey Karimov
  • Location: Leipzig, Germany
  • Number: 3
  • Pages (from): 461
  • Pages (to): 470
  • Volume: In a journal; use with "Number"
  • Pages: number of pages

Abstract

Volume segmentation is important in many applications, particularly in the medical domain. Most segmentation techniques, however, work fully automatically only in very restricted scenarios and cumbersome manual editing of the results is a common task. In this paper, we introduce a novel approach for the editing of segmentation results. Our method exploits structural features of the segmented object to enable intuitive and robust correction and verification. We demonstrate that our new approach can significantly increase the segmentation quality even in difficult cases such as in the presence of severe pathologies.

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BibTeX

@article{karimov-2013-vivisection,
  title =      "ViviSection: Skeleton-based Volume Editing",
  author =     "Alexey Karimov and Gabriel Mistelbauer and Johanna Schmidt
               and Peter Mindek and Elisabeth Schmidt and Timur Sharipov
               and Stefan Bruckner and Eduard Gr\"{o}ller",
  year =       "2013",
  abstract =   "Volume segmentation is important in many applications,
               particularly in the medical domain. Most segmentation
               techniques, however, work fully automatically only in very
               restricted scenarios and cumbersome manual editing of the
               results is a common task. In this paper, we introduce a
               novel approach for the editing of segmentation results. Our
               method exploits structural features of the segmented object
               to enable intuitive and robust correction and verification.
               We demonstrate that our new approach can significantly
               increase the segmentation quality even in difficult cases
               such as in the presence of severe pathologies.",
  month =      jun,
  journal =    "Computer Graphics Forum",
  number =     "3",
  volume =     "32",
  pages =      "461--470",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2013/karimov-2013-vivisection/",
}