DocumentCode
1554131
Title
Ultrasonic tissue characterization using a generalized Nakagami model
Author
Shankar, Mohana P.
Author_Institution
Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
Volume
48
Issue
6
fYear
2001
Firstpage
1716
Lastpage
1720
Abstract
The statistics of the backscattered ultrasonic echo from tissue have been described using Rayleigh, K, and Nakagami distributions. The Nakagami and K distributions, each with two parameters, can model the envelope reasonably well. However, a three-parameter distribution is likely to match the envelope of the backscattered echo much better than these two-parameter distributions. Starting with the Nakagami distribution and including an additional parameter to account for the tails of the density function, a generalized Nakagami distribution has been derived. Computer simulation of A-scans and analysis of data collected from tissue-mimicking phantoms show that the generalized Nakagami distribution fits the statistics of the echo of the envelope better than the Nakagami distribution. The parameters of the generalized Nakagami distribution appear to be far more sensitive to the scattering conditions than the parameters of the Nakagami distribution.
Keywords
backscatter; bioacoustics; biological tissues; biomedical ultrasonics; probability; ultrasonic scattering; backscattered ultrasonic echo statistics; computer simulation; density function; generalized Nakagami distribution; polygamma functions; three-parameter distribution; tissue-mimicking phantoms; ultrasonic tissue characterization; Computer simulation; Data analysis; Density functional theory; Imaging phantoms; Nakagami distribution; Probability distribution; Rayleigh scattering; Scattering parameters; Statistical analysis; Statistical distributions; Models, Theoretical; Phantoms, Imaging; Tissue Distribution; Ultrasonics;
fLanguage
English
Journal_Title
Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
Publisher
ieee
ISSN
0885-3010
Type
jour
DOI
10.1109/58.971725
Filename
971725
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