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. 2018 Mar;40(2):84-96.
doi: 10.1177/0161734617729159. Epub 2017 Sep 25.

Analysis of Two Quantitative Ultrasound Approaches

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Analysis of Two Quantitative Ultrasound Approaches

Pauline Muleki-Seya et al. Ultrason Imaging. 2018 Mar.

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]).

Keywords: Lizzi–Feleppa parameters; QUS parameters; mouse livers; quantitative ultrasound technique.

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Figures

Figure 1
Figure 1
Correlation of LF slope, intercept and midband with ESD and EAC. In red are plotted the best second order polynomial or linear fit. The correlation coefficients against the null hypothesis provided p-values <0.001.
Figure 2
Figure 2
Correlation of LF slope, intercept and midband among each other and correlation between ESD and EAC. In red are plotted the best second order polynomial or linear fit. The correlation coefficients against the null hypothesis provided p-values <0.001.
Figure 3
Figure 3
LF slope, intercept and midband and QUS ESD and EAC as a function of fat percentage. In red is plotted the best linear fit. The correlation coefficients against the null hypothesis provided p-values <0.001.

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