• DocumentCode
    2110646
  • Title

    Low Resolution Technique for Fast Identification of Carotid Artery in Computed Tomography

  • Author

    Stuerke, Cecil

  • Author_Institution
    Member, IEEE
  • fYear
    2008
  • fDate
    17-20 April 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Just as in human experience, algorithms designed to automatically locate a target within a large picture can benefit from a step back that looks at the big picture. The methodology, shown here, greatly reduces the resolution so that large scale orientation markers can be used. With very large pixels, the processing is very fast, and the results of automated cropping provide a much reduced image for further processing.
  • Keywords
    blood vessels; computerised tomography; feature extraction; medical image processing; automated cropping; automatic target localization; computed tomography; fast carotid artery identification; large scale orientation markers; Algorithm design and analysis; Blood vessels; Carotid arteries; Computed tomography; Crops; Humans; Large-scale systems; Muscles; Neck; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Region 5 Conference, 2008 IEEE
  • Conference_Location
    Kansas City, MO
  • Print_ISBN
    978-1-4244-2076-6
  • Electronic_ISBN
    978-1-4244-2077-3
  • Type

    conf

  • DOI
    10.1109/TPSD.2008.4562762
  • Filename
    4562762