Parameter estimation of generalized backscatter models using entropy maximization

Renata Smolikova; Mark P. Wachowiak; Jacek M. Zurada

doi:10.1117/12.479954

23 May 2003 Parameter estimation of generalized backscatter models using entropy maximization

Renata Smolikova, Mark P. Wachowiak, Jacek M. Zurada

Proceedings Volume 5035, Medical Imaging 2003: Ultrasonic Imaging and Signal Processing; (2003) https://doi.org/10.1117/12.479954
Event: Medical Imaging 2003, 2003, San Diego, California, United States

Abstract

This paper presents parameter estimation of general ultrasound backscatter models, such as the generalized Nakagami and generalized K distributions, via entropy maximization. Parameters of these distributions are related to scatterer density and regularity, and therefore accurate parameter estimation techniques are needed. Parameter estimation based on entropy maximization shows promising results in terms of accuracy for simulated K data and high goodness-of-fit values for the two general backscatter models, especially for the generalized Nakagami distribution.

Citation Download Citation

Renata Smolikova, Mark P. Wachowiak, and Jacek M. Zurada "Parameter estimation of generalized backscatter models using entropy maximization", Proc. SPIE 5035, Medical Imaging 2003: Ultrasonic Imaging and Signal Processing, (23 May 2003); https://doi.org/10.1117/12.479954

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