Ultrasound Image Filtering by Anisotropic Diffusion with Numerical Simulation pp. 227–264
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Authors: (Clovis Tauber, Pierre Spiteri, Universite Francois Rabelais, Tours, France, and others)
Abstract: Ultrasound imaging is a widely used method for medical applications. It is noninvasive, real-time and relatively inexpensive. However, compared to other medical imaging methods, it suffers from low signal to noise ratio, the presence of speckle, signal dropouts, and a low contrast. The speckle appears as a multiplicative, locally correlated noise caused
by destructive interference of signals reflected from scatterers within one resolution cell. This phenomenon degrades the resolution of images and makes difficult the detection of their features. Hence, the development of effective noise reduction filters for echographic images is of primary importance in order to i) enhance the image; and ii) facilitate higher level processing such as image segmentation, pattern recognition and motion tracking.
