Literature DB >> 33444273

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

Kevin J Parker1, Jihye Baek.   

Abstract

The H-scan approach ('H' denoting hue, or Hermite) is a recent matched filter methodology that aims to add information to the traditional ultrasound B-scan. The theory is based on the differences in the echoes produced by different classes of reflectors or scatterers. Matched filters can be created for different types of scatterers, whereby the maximum output indicates a match, and color schemes can be used to indicate the class of scatterer responsible for echoes, providing a visual interpretation of the results. However, within the theory of weak scattering from a variety of shapes, small changes in the size of the inhomogeneous objects will create shifts in the scattering transfer function. In this paper, we argue for a general power law transfer function as the canonical model for transfer functions from most normal soft vascularized tissues, at least over some bandpass spectrum illuminated by the incident pulse. In cases where scatterer size and distributions change, this produces a corresponding shift in center frequency, along with time and frequency domain characteristics of echoes, and these are captured by matched filters to distinguish and visualize in color the major characteristics of scattering types. With this general approach, the H-scan matched filters can be set to elicit more fine grain shifts in scattering types, commensurate with more subtle changes in tissue morphology. Compensation for frequency-dependent attenuation is helpful for avoiding beam softening effects with increasing depths. Examples from phantoms and normal and pathological tissues are provided to demonstrate that the H-scan analysis and displays are sensitive to scatterer size and morphology, and can be adapted to conventional imaging systems.

Entities:  

Year:  2020        PMID: 33444273      PMCID: PMC8042758          DOI: 10.1088/2057-1976/ab9206

Source DB:  PubMed          Journal:  Biomed Phys Eng Express        ISSN: 2057-1976


  31 in total

1.  A new method for attenuation coefficient measurement in the liver: comparison with the spectral shift central frequency method.

Authors:  Yasutomo Fujii; Nobuyuki Taniguchi; Kouichi Itoh; Kouichiro Shigeta; Yi Wang; Jing-Wen Tsao; Kenji Kumasaki; Takashi Itoh
Journal:  J Ultrasound Med       Date:  2002-07       Impact factor: 2.153

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Journal:  Phys Med Biol       Date:  1975-09       Impact factor: 3.609

3.  Describing small-scale structure in random media using pulse-echo ultrasound.

Authors:  M F Insana; R F Wagner; D G Brown; T J Hall
Journal:  J Acoust Soc Am       Date:  1990-01       Impact factor: 1.840

4.  The scattering of ultrasound by human tissues--some theoretical models.

Authors:  R C Chivers
Journal:  Ultrasound Med Biol       Date:  1977       Impact factor: 2.998

5.  Ultrasonic backscattering from human tissue: a realistic model.

Authors:  J C Gore; S Leeman
Journal:  Phys Med Biol       Date:  1977-03       Impact factor: 3.609

6.  Theoretical framework for spectrum analysis in ultrasonic tissue characterization.

Authors:  F L Lizzi; M Greenebaum; E J Feleppa; M Elbaum; D J Coleman
Journal:  J Acoust Soc Am       Date:  1983-04       Impact factor: 1.840

7.  Ultrasonic B-scanning: a computer simulation.

Authors:  J C Bamber; R J Dickinson
Journal:  Phys Med Biol       Date:  1980-05       Impact factor: 3.609

8.  Real-time H-scan ultrasound imaging using a Verasonics research scanner.

Authors:  Mawia Khairalseed; Katherine Brown; Kevin J Parker; Kenneth Hoyt
Journal:  Ultrasonics       Date:  2018-12-20       Impact factor: 2.890

9.  Quantitative assessment of in vivo breast masses using ultrasound attenuation and backscatter.

Authors:  Kibo Nam; James A Zagzebski; Timothy J Hall
Journal:  Ultrason Imaging       Date:  2013-04       Impact factor: 1.578

10.  The 3D Spatial Autocorrelation of the Branching Fractal Vasculature.

Authors:  Kevin J Parker; Jonathan J Carroll-Nellenback; Ronald W Wood
Journal:  Acoustics (Basel)       Date:  2019-04-09
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  6 in total

1.  Disease-Specific Imaging Utilizing Support Vector Machine Classification of H-Scan Parameters: Assessment of Steatosis in a Rat Model.

Authors:  Jihye Baek; Lokesh Basavarajappa; Kenneth Hoyt; Kevin J Parker
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2022-01-27       Impact factor: 2.725

Review 2.  Power laws prevail in medical ultrasound.

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

3.  H-scan trajectories indicate the progression of specific diseases.

Authors:  Jihye Baek; Kevin J Parker
Journal:  Med Phys       Date:  2021-08-03       Impact factor: 4.506

4.  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

5.  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

6.  H-scan, Shear Wave and Bioluminescent Assessment of the Progression of Pancreatic Cancer Metastases in the Liver.

Authors:  Jihye Baek; Rifat Ahmed; Jian Ye; Scott A Gerber; Kevin J Parker; Marvin M Doyley
Journal:  Ultrasound Med Biol       Date:  2020-09-06       Impact factor: 3.694

  6 in total

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