Abstract
The soft tissue attenuation is an interesting parameter from medical point
of view, because the value of attenuation coefficient is often related to
the state of the tissue. Thus, the imaging of the attenuation coefficient
distribution within the tissue could be a useful tool for ultrasonic
medical diagnosis. The method of attenuation estimation based on tracking
of the mean frequency changes in a backscattered signal is presented in
this paper. The attenuation estimates are characterized by high variance
due to stochastic character of the backscattered ultrasonic signal and
some special methods must be added to data processing to improve the
resulting images. The following paper presents the application of Spatial
Compounding (SC), Frequency Compounding (FC) and the combination of both.
The resulting parametric images are compared by means of root-mean-square
errors. The results show that combined SC and FC techniques significantly
improve the quality and accuracy of parametric images of attenuation
distribution.
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