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

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) o...

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Bibliographic Details
Main Authors: Fangwei Zhao, deSilva, C.J.S.
Format: Conference Proceeding
Language:English
Subjects:
Australia
Fourier transforms
Image analysis
Image edge detection
Image processing
Image resolution
Laplace equations
Low pass filters
Prostate cancer
Ultrasonic imaging
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Description
Summary: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.
ISSN:1094-687X
1558-4615
DOI:10.1109/IEMBS.1998.745557