Estimation of K distribution parameters using neural networks.

Mark P Wachowiak; Renata Smolíková; Jacek M Zurada; Adel S Elmaghraby

doi:10.1109/tbme.2002.1001977

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Estimation of K distribution parameters using neural networks.

Mark P Wachowiak·Renata Smolíková·Jacek M Zurada·Adel S Elmaghraby

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Abstract

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.

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Computer Simulation Models, Statistical Neural Networks, Computer Reproducibility of Results Signal Processing, Computer-Assisted Ultrasonography Comparative Study Journal Article Research Support, Non-U.S. Gov't

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Mark P Wachowiak, Renata Smolíková, Jacek M Zurada, Adel S Elmaghraby. 2002. Estimation of K distribution parameters using neural networks.. https://doi.org/10.1109/tbme.2002.1001977

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