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

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...

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Bibliographic Details
Published in2023 IEEE International Ultrasonics Symposium (IUS) pp. 1 - 3
Main Authors Liu, Kun-Lin, Chen, Yu-Heng, Wang, Chiao-Yin, Tsui, Po-Hsiang, Li, Meng-Lin
Format Conference Proceeding
LanguageEnglish
Published IEEE 03.09.2023
Subjects
Attenuation
Attenuation coefficient estimation
Estimation
fatty liver
Frequency estimation
Interference
Liver diseases
Phantoms
power spectrum estimation
spectral normalization
Ultrasonic imaging
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Summary: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 signals' 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.
ISSN:1948-5727
DOI:10.1109/IUS51837.2023.10306816