High-order statistic for mean scatterer spacing estimation for human tissues characterization

Acoustical Science and Technology

Abdelhafid Kaddour²  Bachir Bouhadef²  Mohamed Faouzi Belbachir²  Jean Michel Rouvaen¹ 

[1] IEMN (UMR 8520 CNRS), Departement OAE, Universite de Valenciennes;University of Science and Technology of Oran Mohamed Boudiaf (USTO-MB)

关键词: Tissue characterization;    Ultrasound backscattered signal;    Signal processing;    Cumulants;   

DOI  :  10.1250/ast.32.1

学科分类：声学和超声波

来源: Acoustical Society of Japan

【 摘 要 】

References(24)The mean scatterer spacing (MSS) has been identified as an important parameter for characterizing human tissues presenting a semi-regular lattice texture. Most of the work in this area involves the uses of an estimated power spectrum density (PSD) of an autoregressive (AR) model to deduce the MSS from backscattered ultrasonic signals. In this paper, we propose a new method of MSS estimation using the third and fourth-order cumulants, named here TFOCs, of the AR parametric model. The results obtained by this new method is compared with those obtained using PSD.

【 授权许可】

Unknown