Analysis of Two Quantitative Ultrasound Approaches

Abstract

There are two well-known ultrasonic approaches to extract sets of quantitative parameters: Lizzi-Feleppa (LF) parameters: slope, intercept, and midband; and quantitative ultrasound (QUS)-derived parameters: effective scatterer diameter (ESD) and effective acoustic concentration (EAC). In this study, the relation between the LF and QUS-derived parameters is studied theoretically and experimentally on ex vivo mouse livers. As expected from the theory, LF slope is correlated to ESD ([Formula: see text]), and from experimental data, LF midband is correlated to EAC ([Formula: see text]). However, LF intercept is not correlated to ESD ([Formula: see text]) nor EAC ([Formula: see text]). The unexpected correlation observed between LF slope and EAC ([Formula: see text]) results likely from the high correlation between ESD and EAC due to the inversion process. For a liver fat percentage estimation, an important potential medical application, the parameters presenting the better correlation are EAC ([Formula: see text]) and LF midband ([Formula: see text]).

Toward cancer characterization using light backscattering spectroscopy and quantitative ultrasound

“…This approach extracts the Lizzi-Feleppa (LF) parameters: the slope, the intercept and the midband. 19 Once again, the analysis of these parameters can lead to tissue classification.…”

Multimodality quantitative ultrasound envelope statistics imaging based support vector machines for characterizing tissue scatterer distribution patterns: Methods and application in detecting microwave-induced thermal lesions

“…In the context of QUS, tissue microstructures can be characterized by extracting quantitative parameters connected with acoustic scatterers from ultrasound backscattered signals, as opposed to the commonly used B-mode ultrasound which is qualitative. The QUS parameters frequently used in ultrasound tissue characterization include backscatter coefficient [1] , [2] , [4] , [6] , acoustic attenuation [1] , [2] , [4] , speed of sound [4] , [5] , envelope statistics [1] , [2] , [3] , [4] , [6] , [7] , [8] , [9] , [10] , [11] , Lizzi–Feleppa spectral parameters [1] , [2] , [12] , [13] , [14] , mean scatterer spacing [15] , [16] , [17] , scatterer number densities [18] , [19] , and scatterer sizes [7] , [20] , [21] .…”

Multiplexed Ultrasound Imaging Using Spectral Analysis on Gas Vesicles

“…MBF signal of one pixel can be defined by taking the median value of the linear regression curve of MBF signals within cut‐off frequencies (dashed lines in Figure 1b). [ 1a,4 ] MBF considers the slope and intensity of echo spectrum.…”