ArticleUltrasonics2021
Total attenuation compensation for backscatter coefficient estimation using full angular spatial compounding.
Article in Ultrasonics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Deep-Learning-Driven High Spatial Resolution Attenuation Imaging for Ultrasound Tomography (AI-UT).IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2025Article
- Angular spatial compounding of diffraction corrected images improves ultrasound attenuation measurements.The Journal of the Acoustical Society of America · 2025Article
- In Vivo Validation of an In Situ Calibration Bead as a Reference for Backscatter Coefficient Calculation.Ultrasound in medicine & biology · 2024Article
- Ultrasonic backscatter coefficient estimation in nonlinear regime using an in situ calibration target.The Journal of the Acoustical Society of America · 2022Article
- Reverberation clutter signal suppression in ultrasound attenuation estimation using wavelet-based robust principal component analysis.Physics in medicine and biology · 2022Article
- Identifying and overcoming limitations with in situ calibration beads for quantitative ultrasound.The Journal of the Acoustical Society of America · 2022Article
- Quantitative ultrasound imaging of soft biological tissues: a primer for radiologists and medical physicists.Insights into imaging · 2021Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The backscatter coefficient (BSC) quantifies the frequency-dependent reflectivity of tissues. Accurate estimation of the BSC is only possible with the knowledge of the attenuation coefficient slope (ACS) of the tissues under examination. In this study, the use of attenuation maps constructed using full angular spatial compounding (FASC) is proposed for attenuation compensation when imaging integrated BSCs. Experimental validation of the proposed approach was obtained using two cylindrical physical phantoms with off-centered inclusions having different ACS and BSC values than the background, and in a phantom containing an ex vivo chicken breast sample embedded in an agar matrix. With the phantom data, three different ACS maps were employed for attenuation compensation: (1) a ground truth ACS map constructed using insertion loss techniques, (2) the estimated ACS map using FASC attenuation imaging, and (3) a uniform ACS map with a value of 0.5 dBcm
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Registered trials
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