Literature DB >> 31125985

Shapes and distributions of soft tissue scatterers.

K J Parker1.   

Abstract

What causes scattering of ultrasound from normal soft tissues such as the liver, thyroid, and prostate? Commonly, the answer is formulated around the properties of spherical scatterers, related to cellular shapes and sizes. However, an alternative view is that the closely packed cells forming the tissue parenchyma create the reference media, and the long cylindrical-shaped fluid vessels serve as the scattering sites. Under a weak scattering or Born approximation for the extracellular fluid in the vessels, and assuming an isotropic distribution of cylindrical channels across a wide range of diameters, consistent with a fractal branching pattern, some simple predictions can be made about the nature of backscatter as a function of frequency in soft tissues. Specifically, a number of plausible shapes would predict that backscatter increases as a power law of frequency, where the power law is determined by the function governing the number density of the vessels versus diameter. These results are compared with some historical models developed over the last 100 years in scattering theory and point to the need for higher spatial resolution and higher bandwidths to obtain more precise measures of the key parameters in normal tissues, and to better identify the dominant structures responsible for backscatter in everyday clinical imaging.

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Year:  2019        PMID: 31125985      PMCID: PMC6785837          DOI: 10.1088/1361-6560/ab2485

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  40 in total

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Journal:  Ultrasound Med Biol       Date:  1977       Impact factor: 2.998

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Journal:  J Acoust Soc Am       Date:  1986-07       Impact factor: 1.840

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Authors:  S A Goss; R L Johnston; F Dunn
Journal:  J Acoust Soc Am       Date:  1978-08       Impact factor: 1.840

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Journal:  Circ Res       Date:  1973-08       Impact factor: 17.367

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Journal:  J Acoust Soc Am       Date:  1983-04       Impact factor: 1.840

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Journal:  Ultrasound Med Biol       Date:  1981       Impact factor: 2.998

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Journal:  Ultrasound Med Biol       Date:  2012-10-11       Impact factor: 2.998

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  10 in total

1.  The first order statistics of backscatter from the fractal branching vasculature.

Authors:  Kevin J Parker
Journal:  J Acoust Soc Am       Date:  2019-11       Impact factor: 1.840

2.  Speckle from branching vasculature: dependence on number density.

Authors:  Kevin J Parker; Sedigheh S Poul
Journal:  J Med Imaging (Bellingham)       Date:  2020-04-11

3.  Fine-tuning the H-scan for discriminating changes in tissue scatterers.

Authors:  Kevin J Parker; Jihye Baek
Journal:  Biomed Phys Eng Express       Date:  2020-05-20

4.  Speckle statistics of biological tissues in optical coherence tomography.

Authors:  Gary R Ge; Jannick P Rolland; Kevin J Parker
Journal:  Biomed Opt Express       Date:  2021-06-17       Impact factor: 3.562

5.  Local Burr distribution estimator for speckle statistics.

Authors:  Gary R Ge; Jannick P Rolland; Kevin J Parker
Journal:  Biomed Opt Express       Date:  2022-03-22       Impact factor: 3.562

Review 6.  Power laws prevail in medical ultrasound.

Authors:  K J Parker
Journal:  Phys Med Biol       Date:  2022-04-20       Impact factor: 4.174

7.  Generalized formulations producing a Burr distribution of speckle statistics.

Authors:  Kevin J Parker; Sedigheh S Poul
Journal:  J Med Imaging (Bellingham)       Date:  2022-04-01

8.  Burr, Lomax, Pareto, and Logistic Distributions from Ultrasound Speckle.

Authors:  Kevin J Parker; Sedigheh S Poul
Journal:  Ultrason Imaging       Date:  2020-06-02       Impact factor: 1.578

9.  Clusters of Ultrasound Scattering Parameters for the Classification of Steatotic and Normal Livers.

Authors:  Jihye Baek; Sedigheh S Poul; Lokesh Basavarajappa; Shreya Reddy; Haowei Tai; Kenneth Hoyt; Kevin J Parker
Journal:  Ultrasound Med Biol       Date:  2021-07-24       Impact factor: 3.694

10.  Scattering Signatures of Normal versus Abnormal Livers with Support Vector Machine Classification.

Authors:  Jihye Baek; Sedigheh S Poul; Terri A Swanson; Theresa Tuthill; Kevin J Parker
Journal:  Ultrasound Med Biol       Date:  2020-09-08       Impact factor: 3.694

  10 in total

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