ArticleIEEE transactions on ultrasonics, ferroelectrics, and frequency control2019
System-Independent Ultrasound Attenuation Coefficient Estimation Using Spectra Normalization.
Article in IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Correlation of ultrasound attenuation with proton density fat fraction across multiple organs in healthy volunteers.Medical physics · 2026Article
- Assessment of Early Breast Cancer Response to Chemotherapy with Ultrasound Radiomics.Diagnostics (Basel, Switzerland) · 2026Article
- Ultrasound Attenuation Coefficient as a Biomarker of Hepatic Steatosis: State of the Art and Software Evaluation.Journal of clinical medicine · 2026Review
- Ultrafast power Doppler imaging for RV myocardial perfusion assessment: histopathologic correlation andEuropean heart journal. Imaging methods and practice · 2026Article
- Fat Content Quantification with US Attenuation Coefficient: Phantom Correlation with MRI Proton Density Fat Fraction.Diagnostics (Basel, Switzerland) · 2025Article
- 3D multiparametric ultrasound imaging of steatotic liver disease in a study with male rats.Nature communications · 2025Article
- Developments in Ultrasound-Based Imaging for Prostate Cancer Detection.The Prostate · 2025Review
- 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
- Spectral-based Quantitative Ultrasound Imaging Processing Techniques: Comparisons of RF Versus IQ Approaches.Ultrasonic imaging · 2024Article
- Recent Advances in Attenuation Estimation.Advances in experimental medicine and biology · 2023Article
- Improved Ultrasound Attenuation Estimation with Non-uniform Structure Detection and Removal.Ultrasound in medicine & biology · 2022Article
- Reverberation clutter signal suppression in ultrasound attenuation estimation using wavelet-based robust principal component analysis.Physics in medicine and biology · 2022Article
- Quantitative ultrasound imaging of soft biological tissues: a primer for radiologists and medical physicists.Insights into imaging · 2021Review
- Noise Suppression for Ultrasound Attenuation Coefficient Estimation Based on Spectrum Normalization.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021Article
- Analytic Global Regularized Backscatter Quantitative Ultrasound.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021Article
- Liraglutide reduces attenuation coefficient as a measure of hepatic steatosis during 16 weeks' treatment in nondiabetic obese patients: A pilot trial.JGH open : an open access journal of gastroenterology and hepatology · 2021Article
- Ultrasound Attenuation Estimation in Harmonic Imaging for Robust Fatty Liver Detection.Ultrasound in medicine & biology · 2020Article
- Regularized Estimation of Effective Scatterer Size and Acoustic Concentration Quantitative Ultrasound Parameters Using Dynamic ProgrammingAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020Article
- Texture Analysis on Ultrasound: The Effect of Time Gain Compensation on Histogram Metrics and Gray-Level Matrices.Journal of medical physicsArticle
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5 authors.
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Abstract
Ultrasound attenuation coefficient estimation (ACE) has diagnostic potential for clinical applications such as differentiating tumors and quantifying fat content in the liver. The two commonly used ACE methods in the ultrasound array imaging system are the spectral shift method and the reference-phantom-based methods. The spectra shift method estimates the central frequency downshift along depth, whereas the reference-phantom-based methods use a well-calibrated phantom to cancel system dependent effects in attenuation estimation. In this study, we propose a novel system-independent ACE technique based on spectra normalization of different frequencies. This technique does not require a reference phantom for normalization. The power of each frequency component is normalized by the power of an adjacent frequency component in the spectrum to cancel system-dependent effects, such as focusing and time gain compensation (TGC). This method is referred to as the reference frequency method (RFM), and its performance has been evaluated in phantoms and in vivo liver studies. The RFM technique can be applied to various transducer geometries (e.g., linear or curved arrays) with different beam patterns (e.g., focused or unfocused).
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