• DocumentCode
    1815416
  • Title

    Sketch initialized Snakes for rapid, accurate and repeatable interactive medical image segmentation

  • Author

    McInerney, T. ; Sharif, M. R Akhavan

  • Author_Institution
    Dept. of Comput. Sci., Ryerson Univ., Toronto, Ont.
  • fYear
    2006
  • fDate
    6-9 April 2006
  • Firstpage
    398
  • Lastpage
    401
  • Abstract
    We combine a pen and pressure-sensitive tablet input device, and a sketch-based user initialization process, with a general subdivision-curve Snake to create an intuitive, fast, accurate, interactive model-based segmentation method. Using the pen input device, the Snake is quickly and precisely initialized with a series of sketch lines such that it is extremely close to the position and shape of the target object boundary, making the Snake´s task much simpler and hence more likely to succeed in noisy images with minimal user editing. The user may also use pen pressure levels to easily impart knowledge of object edge strength to the model, and the low degree-of-freedom subdivision curve Snake provides powerful control and editing capabilities. We apply our Snake to the segmentation of several 2D medical images
  • Keywords
    biomedical MRI; diagnostic radiography; image segmentation; medical image processing; 2D medical images; MR imaging; X-ray imaging; interactive medical image segmentation; low degree-of-freedom subdivision curve Snake; noisy images; object edge strength; pen input device; pen pressure levels; pressure-sensitive tablet input device; sketch initialized Snakes; sketch-based user initialization process; Automatic control; Biomedical imaging; Computer science; Deformable models; Image segmentation; Medical control systems; Noise shaping; Power system modeling; Pressure control; Shape control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    0-7803-9576-X
  • Type

    conf

  • DOI
    10.1109/ISBI.2006.1624937
  • Filename
    1624937