ArticleUltrasound in medicine & biology2020
Ultrasound Attenuation Estimation in Harmonic Imaging for Robust Fatty Liver Detection.
Article in Ultrasound in medicine & biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Simultaneous grading diagnosis of liver fibrosis, inflammation, and steatosis using multimodal quantitative ultrasound and artificial intelligence framework.Medical & biological engineering & computing · 2026Article
- Clutter-Generating Phantom Material. Part II: Utilization in the Comparison of Conventional and Regularized Ultrasound Attenuation Estimation.Ultrasound in medicine & biology · 2025Article
- Novel Quantitative Liver Steatosis Assessment Method With Ultrasound Harmonic Imaging.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2025Article
- Contrast-Enhanced Sonography of the Liver: How to Avoid Artifacts.Diagnostics (Basel, Switzerland) · 2024Review
- Multiparametric ultrasound imaging for early-stage steatosis: Comparison with magnetic resonance imaging-based proton density fat fraction.Medical physics · 2024Article
- Improved Ultrasound Attenuation Estimation with Non-uniform Structure Detection and Removal.Ultrasound in medicine & biology · 2022Article
- Disease-Specific Imaging Utilizing Support Vector Machine Classification of H-Scan Parameters: Assessment of Steatosis in a Rat Model.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2022Article
- H-scan trajectories indicate the progression of specific diseases.Medical physics · 2021Article
- Noise Suppression for Ultrasound Attenuation Coefficient Estimation Based on Spectrum Normalization.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Accurate detection of liver steatosis is important for liver disease management. Ultrasound attenuation coefficient estimation (ACE) has great potential in quantifying liver fat content. The commonly used ACE methods (e.g., spectral shift methods, reference phantom methods) assume linear tissue response to ultrasound and were developed in fundamental imaging. However, fundamental imaging may be vulnerable to reverberation clutters introduced by the body wall. The clutters superimposed on liver echoes may bias the attenuation estimation. Here we propose a new ACE technique, the reference frequency method (RFM), in harmonic imaging to mitigate the reverberation bias. The accuracy of harmonic RFM was validated through a phantom study. In a pilot patient study, harmonic RFM performed more robustly in vivo compared with fundamental RFM, illustrating the potential of ACE in harmonic imaging.
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Registered trials
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