利用 Ballou 法则进行更好的组织分类。

Exploiting Ballou's rule for better tissue classification.

机构信息

Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, P.O. Box 8905, N-7489, Trondheim, Norway.

Department of Informatics, University of Oslo, P.O. Box 1080, NO-0316 Oslo, Norway.

出版信息

J Acoust Soc Am. 2019 Apr;145(4):2103. doi: 10.1121/1.5096533.

DOI:10.1121/1.5096533

PMID:31046352

Abstract

Ultrasound tissue characterization based on the coefficient of nonlinearity, β = 1 + B/2A, has been demonstrated to produce added diagnostic value due to its large variation and sensitivity to tissue structure. However, the parameter has been observed to be significantly correlated to the speed of sound and density. These relationships are analyzed empirically as well as theoretically by developing a pressure-density relation based on a thermodynamic model and the Mie intermolecular potential. The results indicate that for many soft tissues, the coefficient of nonlinearity is largely determined by the isentropic compressibility, κ. Consequently, for tissue characterization, estimating the nonlinear response of the medium, given by β = βκ, appears to be beneficial due to correlated quantities.

摘要

基于非线性系数β=1+B/2A 的超声组织特征分析已被证明能够提供附加的诊断价值，因为其变化较大且对组织结构敏感。然而，该参数与声速和密度有显著的相关性。这些关系通过基于热力学模型和 Mie 分子间势的压力-密度关系进行了理论和经验分析。结果表明，对于许多软组织，非线性系数主要由等熵压缩系数κ决定。因此，对于组织特征分析，由于相关量的存在，估计介质的非线性响应β=βκ似乎是有益的。