• DocumentCode
    3427253
  • Title

    Automated segmentation of computed tomography images

  • Author

    Senseney, Justin ; Hemler, Paul F. ; McAuliffe, Matthew J.

  • Author_Institution
    BIRSS, Nat. Institutes of Health, Bethesda, MD, USA
  • fYear
    2009
  • fDate
    2-5 Aug. 2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    An image analysis, visualization, and segmentation system has been developed to assist researchers participating in a world-wide imaging study led by the National Institute on Aging to determine risk factors contributing to chronic osteoarthritis. The system provides a sophisticated but simple to use interface that directs the segmentation of muscle, fat, and other tissues of interest in thigh and abdomen computed tomography images.
  • Keywords
    computerised tomography; image segmentation; medical image processing; muscle; chronic osteoarthritis; computed tomography images; fat; image analysis; image segmentation; muscle; visualization; Aging; Computed tomography; Computer science; Image analysis; Image segmentation; Information technology; Muscles; Osteoarthritis; Thigh; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 2009. CBMS 2009. 22nd IEEE International Symposium on
  • Conference_Location
    Albuquerque, NM
  • ISSN
    1063-7125
  • Print_ISBN
    978-1-4244-4879-1
  • Electronic_ISBN
    1063-7125
  • Type

    conf

  • DOI
    10.1109/CBMS.2009.5255342
  • Filename
    5255342
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3427253