Improved Ultrasound Attenuation Coefficient Estimation Using Spectral Normalization on Local Interference-Free Single-Scatterer Power Spectrum

TL;DR

This paper introduces an enhanced ultrasound attenuation coefficient estimation method that employs spectral normalization to reduce oscillations caused by interference, leading to more accurate liver fat quantification.

Contribution

The study presents a novel spectral normalization approach integrated with the reference frequency method to improve ACE accuracy by mitigating interference effects.

Findings

Reduced oscillations in decay curves

Improved ACE accuracy in simulations

Potential for better liver fat quantification

Abstract

Ultrasound attenuation coefficient estimation (ACE) can be utilized to quantify liver fat content, offering significant diagnostic potential in addressing the growing global public health issue of non-alcoholic fatty liver and other chronic liver diseases. Among ACE methods, the reference frequency method (RFM) proposed recently possesses the advantages of being system-independent and not requiring reference phantom. However, the presence of large oscillations in frequency power ratio decay curves leads to unstable ACE results with RFM, originating from noise as well as constructive and destructive interference in the backscattered signal's power spectrum. To address this issue, we propose an improved RFM version where a single-scatterer power spectrum estimator is incorporated to restore interference free single-scatterer power spectrum, thereby reducing oscillations in the frequency power ratio decay curves and greatly improving the accuracy of ACE.