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
Link To Document :
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