Parameter estimation of generalized backscatter models using entropy maximization

被引：0

作者：

Smolíková, R ^{[1
]}

Wachowiak, MP ^{[1
]}

Zurada, JM ^{[1
]}

机构：

[1] John P Robarts Res Inst, Imaging Labs, London, ON N6A 5K8, Canada

来源：

MEDICAL IMAGING 2003: ULTRASONIC IMAGING AND SIGNAL PROCESSING | 2003年 / 5035卷

关键词：

ultrasonography; backscatter; parameter estimation; entropy maximization; generalized K distribution; generalized Nakagami distribution;

D O I：

10.1117/12.479954

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：480 / 490

页数：11

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