Estimation of K distribution parameters using neural networks.
The K distribution is an accurate model for ultrasonic backscatter. A neural approach is developed to estimate K distribution parameters. Accuracy and consistency of the estimates from simulated K and envelope data compare favorably with other techniques. Neural networks can potentially be used as a complementary technique for tissue characterization.
Wachowiak
Mark P
MP
Computer Science and Engineering Program, University of Louisville, KY 40292, USA. mpwach01@athena.louisville.edu
Smolíková
Renata
R
Zurada
Jacek M
JM
Elmaghraby
Adel S
AS
D003198:Computer Simulation; D015233:Models, Statistical; D016571:Neural Networks, Computer; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D014463:Ultrasonography / Q000379:methods* / Q000706:statistics & numerical data