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Estimation of K distribution parameters using neural networks

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4 Author(s)
Wachowiak, M.P. ; Comput. Sci. & Eng. Program, Louisville Univ., KY, USA ; Smolikova, R. ; Zurada, J.M. ; Elmaghraby, A.S.

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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Biomedical Engineering, IEEE Transactions on  (Volume:49 ,  Issue: 6 )