Title :
Modeling the ultrasound backscattered signal using α-stable distributions
Author :
Petropulu, Athina P. ; Wang, Roy ; Piccoli, K.
Author_Institution :
Dept. of Comput. Eng., Drexel Univ., Philadelphia, PA, USA
Abstract :
The tissue is modeled as a collection of point scatterers embedded in a uniform medium. Drawing parallels from the modeling of radar returns we show that under certain assumptions the backscattered ultrasound rf signal follows a symmetric α-stable distribution. The parameter α is shown to be related to the tissue density and attenuation. Based on real breast data we verify the theoretically derived model, and demonstrate that model parameters can be used to track tissue structure changes inside the tissue
Keywords :
Gaussian distribution; backscatter; biomedical ultrasonics; medical signal processing; ultrasonic scattering; α-stable distributions; embedded point scatterers; radar return modeling; real breast data; tissue attenuation; tissue density; tissue modeling; tissue structure changes; tumor areas; ultrasound backscattered signal modeling; Attenuation; Filtering; Gaussian distribution; Noise level; Nonlinear filters; Probability distribution; Radar scattering; Tail; Ultrasonic imaging; Ultrasonic transducers;
Conference_Titel :
Ultrasonics Symposium, 1996. Proceedings., 1996 IEEE
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-3615-1
DOI :
10.1109/ULTSYM.1996.584182