• DocumentCode
    2501515
  • Title

    3D Slicer as a tool for interactive brain tumor segmentation

  • Author

    Kikinis, Ron ; Pieper, Steve

  • Author_Institution
    Harvard Med. Sch., Brigham & Women´´s Hosp., Boston, MA, USA
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    6982
  • Lastpage
    6984
  • Abstract
    User interaction is required for reliable segmentation of brain tumors in clinical practice and in clinical research. By incorporating current research tools, 3D Slicer provides a set of interactive, easy to use tools that can be efficiently used for this purpose. One of the modules of 3D Slicer is an interactive editor tool, which contains a variety of interactive segmentation effects. Use of these effects for fast and reproducible segmentation of a single glioblastoma from magnetic resonance imaging data is demonstrated. The innovation in this work lies not in the algorithm, but in the accessibility of the algorithm because of its integration into a software platform that is practical for research in a clinical setting.
  • Keywords
    biomedical MRI; brain; cancer; image segmentation; medical image processing; tumours; 3D slicer; glioblastoma; interactive brain tumor segmentation; interactive editor tool; magnetic resonance imaging; software platform; Image segmentation; Neurosurgery; Software; Software algorithms; Solids; Three dimensional displays; Tumors; Algorithms; Automation; Brain; Brain Neoplasms; Computer Graphics; Computers; Glioblastoma; Humans; Image Processing, Computer-Assisted; Imaging, Three-Dimensional; Software; User-Computer Interface;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6091765
  • Filename
    6091765