• DocumentCode
    2654099
  • Title

    CEASAR: a smooth, accurate and robust centerline extraction algorithm

  • Author

    Bitter, Ingmar ; Sato, Mie ; Bender, Michael ; McDonnell, Kevin T. ; Kaufman, Arie ; Wan, Ming

  • Author_Institution
    Dept. of Comput. Sci., State Univ. of New York, Stony Brook, NY, USA
  • fYear
    2000
  • fDate
    13-13 Oct. 2000
  • Firstpage
    45
  • Lastpage
    52
  • Abstract
    We present CEASAR, a centerline extraction algorithm that delivers smooth, accurate and robust results. Centerlines are needed for accurate measurements of length along winding tubular structures. Centerlines are also required in automatic virtual navigation through human organs, such as the colon or the aorta, as they are used to control movement and orientation of the virtual camera. We introduce a concise but general definition of a centerline, and provide an algorithm that finds the centerline accurately and rapidly. Our algorithm is provably correct for general geometries. Our solution is fully automatic, which frees the user from having to engage in data preprocessing. For a number of test datasets, we show the smooth and accurate centerlines computed by our CEASAR algorithm on a single 194 MHz MIPS R10000 CPU within five minutes.
  • Keywords
    image segmentation; length measurement; medical image processing; CEASAR algorithm; aorta; automatic virtual navigation; colon; data preprocessing; human organs; length measurements; robust centerline extraction algorithm; virtual camera; winding tubular structures; Automatic control; Cameras; Colon; Data preprocessing; Geometry; Humans; Length measurement; Navigation; Robustness; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visualization 2000. Proceedings
  • Conference_Location
    Salt Lake City, UT, USA
  • Print_ISBN
    0-7803-6478-3
  • Type

    conf

  • DOI
    10.1109/VISUAL.2000.885675
  • Filename
    885675