ArticleUltrasound in medicine & biology2018
Power Spectrum Consistency among Systems and Transducers.
Article in Ultrasound in medicine & biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Clutter-Generating Phantom Material. Part II: Utilization in the Comparison of Conventional and Regularized Ultrasound Attenuation Estimation.Ultrasound in medicine & biology · 2025Article
- Recent Advances in Attenuation Estimation.Advances in experimental medicine and biology · 2023Article
- Pulse-Echo Quantitative US Biomarkers for Liver Steatosis: Toward Technical Standardization.Radiology · 2022Review
- Challenges of conducting quantitative ultrasound with a multimodal optical imaging system.Physics in medicine and biology · 2021Article
- Inter-platform reproducibility of ultrasonic attenuation and backscatter coefficients in assessing NAFLD.European radiology · 2019Article
- A Quantitative Ultrasound-Based Multi-Parameter Classifier for Breast Masses.Ultrasound in medicine & biology · 2019Article
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Authors and funding
6 authors.
Funding
Abstract
Use of the reference phantom method for computing acoustic attenuation and backscatter is widespread. However, clinical application of these methods has been limited by the need to acquire reference phantom data. We determined that the data acquired from 11 transducers of the same model and five clinical ultrasound systems of the same model produce equivalent estimates of reference phantom power spectra. We describe that the contribution to power spectral density variance among systems and transducers equals that from speckle variance with 59 uncorrelated echo signals. Thus, when the number of uncorrelated lines of data is small, speckle variance will dominate the power spectral density estimate variance introduced by different systems and transducers. These results suggest that, at least for this particular transducer and imaging system combination, one set of reference phantom calibration data is highly representative of the average among equivalent transducers and systems that are in good working order.
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Registered trials
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