DocumentCode :
774357
Title :
Oriented Speckle Reducing Anisotropic Diffusion
Author :
Krissian, Karl ; Westin, Carl-Fredrik ; Kikinis, Ron ; Vosburgh, Kirby G.
Volume :
16
Issue :
5
fYear :
2007
fDate :
5/1/2007 12:00:00 AM
Firstpage :
1412
Lastpage :
1424
Abstract :
Ultrasound imaging systems provide the clinician with noninvasive, low-cost, and real-time images that can help them in diagnosis, planning, and therapy. However, although the human eye is able to derive the meaningful information from these images, automatic processing is very difficult due to noise and artifacts present in the image. The speckle reducing anisotropic diffusion filter was recently proposed to adapt the anisotropic diffusion filter to the characteristics of the speckle noise present in the ultrasound images and to facilitate automatic processing of images. We analyze the properties of the numerical scheme associated with this filter, using a semi-explicit scheme. We then extend the filter to a matrix anisotropic diffusion, allowing different levels of filtering across the image contours and in the principal curvature directions. We also show a relation between the local directional variance of the image intensity and the local geometry of the image, which can justify the choice of the gradient and the principal curvature directions as a basis for the diffusion matrix. Finally, different filtering techniques are compared on a 2-D synthetic image with two different levels of multiplicative noise and on a 3-D synthetic image of a Y-junction, and the new filter is applied on a 3-D real ultrasound image of the liver
Keywords :
biomedical ultrasonics; filtering theory; image denoising; speckle; ultrasonic imaging; 2-D synthetic image; 3-D synthetic image; automatic image processing; image intensity local directional variance; matrix anisotropic diffusion; speckle noise; speckle reducing anisotropic diffusion filter; ultrasound imaging systems; Anisotropic magnetoresistance; Filtering; Filters; Geometry; Humans; Medical treatment; Noise reduction; Real time systems; Speckle; Ultrasonic imaging; Anisotropic diffusion; filtering; local statistics; speckle; ultrasound;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2007.891803
Filename :
4154795
Link To Document :
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