ArticleUltrasound in medicine & biology2020
Scattering Signatures of Normal versus Abnormal Livers with Support Vector Machine Classification.
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 14 papers.
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Who cites it
14 citing papers in PubMed, 35 citations in OpenAlex.
- Article
- Quantitative Multifrequency Ultrasound Imaging Using Narrowband Pulsing for Tissue Characterization.Investigative radiology · 2026Article
- A first-in-human study of quantitative ultrasound to assess transplant kidney fibrosis.Nature medicine · 2025Article
- Ultrasound Characterization of Oral Soft TissuesArXiv · 2024Article
- Multiparametric quantification and visualization of liver fat using ultrasound.WFUMB ultrasound open · 2024Article
- Multiparametric ultrasound imaging for early-stage steatosis: Comparison with magnetic resonance imaging-based proton density fat fraction.Medical physics · 2024Article
- H-Scan Discrimination for Tumor Microenvironmental Heterogeneity in Melanoma.Ultrasound in medicine & biology · 2024Article
- Improving breast cancer diagnosis by incorporating raw ultrasound parameters into machine learning.Machine learning: science and technology · 2022Article
- Generalized formulations producing a Burr distribution of speckle statistics.Journal of medical imaging (Bellingham, Wash.) · 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
- Noninvasive estimation of local speed of sound by pulse-echo ultrasound in a rat model of nonalcoholic fatty liver.Physics in medicine and biology · 2022Article
- Clusters of Ultrasound Scattering Parameters for the Classification of Steatotic and Normal Livers.Ultrasound in medicine & biology · 2021Article
- H-scan trajectories indicate the progression of specific diseases.Medical physics · 2021Article
- Multiparametric ultrasound imaging for the assessment of normal versus steatotic livers.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Fifty years of research on the nature of backscatter from tissues has resulted in a number of promising diagnostic parameters. We recently introduced two analyses tied directly to the biophysics of ultrasound scattering: the H-scan, based on a matched filter approach to distinguishing scattering transfer functions, and the Burr distribution for quantification of speckle patterns. Together, these analyses can produce at least five parameters that are directly linked to the mathematics of ultrasound in tissue. These have been measured in vivo in 35 rat livers under normal conditions and after exposure to compounds that induce inflammation, fibrosis, and steatosis in varying combinations. A classification technique, the support vector machine, is employed to determine clusters of the five parameters that are signatures of the different liver conditions. With the multiparametric measurement approach and determination of clusters, the different types of liver pathology can be discriminated with 94.6% accuracy.
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