• DocumentCode
    2560246
  • Title

    Use of the Laplacian of Gaussian operator in prostate ultrasound image processing

  • Author

    Fangwei Zhao ; Desilva, Christopher J S

  • Author_Institution
    Centre for Intelligent Inf. Processing Syst., Western Australia Univ., Nedlands, WA, Australia
  • Volume
    2
  • fYear
    1998
  • fDate
    29 Oct-1 Nov 1998
  • Firstpage
    812
  • Abstract
    In computer analysis of prostate ultrasound images, detection of the contour of the prostate is difficult because of the ultrasound images´ low resolution and high level of noise. The authors present a method for extracting the contour of the prostate employing the Laplacian of Gaussian (LoG) or Marr-Hildreth operator, the Gaussian kernel of which acts as a low pass filter eliminating the high frequency noise. LoG operators of various sizes have been tried on the ultrasound images and the results are encouraging
  • Keywords
    Laplace transforms; biological organs; biomedical ultrasonics; edge detection; medical image processing; Gaussian kernel; Laplacian of Gaussian operator; Marr-Hildreth operator; contour detection; high frequency noise elimination; high noise level images; low pass filter; low resolution images; medical diagnostic imaging; prostate ultrasound image processing; Australia; Fourier transforms; Image analysis; Image edge detection; Image processing; Image resolution; Laplace equations; Low pass filters; Prostate cancer; Ultrasonic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
  • Conference_Location
    Hong Kong
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-5164-9
  • Type

    conf

  • DOI
    10.1109/IEMBS.1998.745557
  • Filename
    745557