ArticleIEEE transactions on ultrasonics, ferroelectrics, and frequency control2018
Low Variance Estimation of Backscatter Quantitative Ultrasound Parameters Using Dynamic Programming.
Article in IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- The Role of Quantitative Ultrasound in Monitoring Neoadjuvant Chemotherapy in Breast Cancer: A Narrative Review.Cancers · 2025Review
- Simultaneous imaging of ultrasonic relative backscatter and attenuation coefficients for quantitative liver steatosis assessment.Scientific reports · 2023Article
- High-Resolution Ultrasound Characterization of Local Scattering in Cancer Tissue.Ultrasound in medicine & biology · 2023Article
- Recent Advances in Attenuation Estimation.Advances in experimental medicine and biology · 2023Article
- Reverberation clutter signal suppression in ultrasound attenuation estimation using wavelet-based robust principal component analysis.Physics in medicine and biology · 2022Article
- Robust Scatterer Number Density Segmentation of Ultrasound Images.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 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
- Total attenuation compensation for backscatter coefficient estimation using full angular spatial compounding.Ultrasonics · 2021Article
- Analytic Global Regularized Backscatter Quantitative Ultrasound.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021Article
- Optimization of Ultrasound Backscatter Spectroscopy to Assess Neurotoxic Effects of Anesthesia in the Newborn Non-human Primate Brain.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
- Estimation of Backscatter Coefficients Using an In Situ Calibration Source.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2020Article
- Frequency dependence of attenuation and backscatter coefficient of ex vivo human lymphedema dermis.Journal of medical ultrasonics (2001) · 2020Article
- Validation of differences in backscatter coefficients among four ultrasound scanners with different beamforming methods.Journal of medical ultrasonics (2001) · 2020Article
- System-Independent Ultrasound Attenuation Coefficient Estimation Using Spectra Normalization.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2019Article
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Authors and funding
4 authors.
Funding
Abstract
One of the main limitations of ultrasound imaging is that image quality and interpretation depend on the skill of the user and the experience of the clinician. Quantitative ultrasound (QUS) methods provide objective, system-independent estimates of tissue properties, such as acoustic attenuation and backscattering properties of tissue, which are valuable as objective tools for both diagnosis and intervention. Accurate and precise estimation of these properties requires correct compensation for intervening tissue attenuation. Prior attempts to estimate intervening-tissue attenuation based on minimizing cost functions that compared backscattered echo data to models have resulted in limited precision and accuracy. To overcome these limitations, in this paper, we incorporate the prior information of piecewise continuity of QUS parameters as a regularization term into our cost function. We further propose to calculate this cost function using dynamic programming (DP), a computationally efficient optimization algorithm that finds the global optimum. Our results on tissue-mimicking phantoms show that DP substantially outperforms a published least squares method in terms of both estimation bias and variance.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.