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Proceedings Paper

Parameter estimation of generalized backscatter models using entropy maximization
Author(s): Renata Smolikova; Mark P. Wachowiak; Jacek M. Zurada
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Paper 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.

Paper Details

Date Published: 23 May 2003
PDF: 11 pages
Proc. SPIE 5035, Medical Imaging 2003: Ultrasonic Imaging and Signal Processing, (23 May 2003); doi: 10.1117/12.479954
Show Author Affiliations
Renata Smolikova, Univ. of Louisville (United States)
Mark P. Wachowiak, Univ. of Louisville (United States)
Jacek M. Zurada, Univ. of Louisville (United States)

Published in SPIE Proceedings Vol. 5035:
Medical Imaging 2003: Ultrasonic Imaging and Signal Processing
William F. Walker; Michael F. Insana, Editor(s)

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