• DocumentCode
    1947709
  • Title

    Contour extraction in prostate ultrasound images using the wavelet transform and snakes

  • Author

    Zhao, Fangwei ; Desilva, Christopher J S

  • Author_Institution
    Centre for Intelligent Inf. Process. Syst., Western Australia Univ., Nedlands, WA, Australia
  • Volume
    3
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2641
  • Abstract
    It is extremely difficult to locate the contour of the prostate in B-scan ultrasound images automatically by computer because of low resolution and high noise levels. In this paper we present a semi-automatic prostate contour extraction scheme, which is based on the wavelet transform and active-contour models, or snakes. The ultrasound image is first decomposed into edge maps at different resolutions via the wavelet transform. Seed points are found in the coarsest edge map by examining the maxima along the radial profiles which emanate from an anchor point selected manually. These seed points are used to initialize a snake, which will evolve across the edge maps at different resolutions and eventually converge to the contour of the prostate.
  • Keywords
    biological organs; biomedical ultrasonics; edge detection; image resolution; medical image processing; physiological models; wavelet transforms; B-scan ultrasound images; automatic contour location; coarsest edge map; contour extraction in prostate ultrasound images; edge maps; medical diagnostic imaging; prostate contour convergence; seed points; snake initialization; ultrasound image decomposition; Active contours; Australia; Discrete wavelet transforms; Image edge detection; Image resolution; Noise level; Spline; Ultrasonic imaging; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7211-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2001.1017325
  • Filename
    1017325