Evidence map›Paper›PMID 33444273›Full record

ArticleBiomedical physics & engineering express2020

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

Kevin J Parker, Jihye Baek

Abstract read
In one paragraph

Article in Biomedical physics & engineering express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Power laws prevail in medical ultrasound.Physics in medicine and biology · 2022
    Review
  10. Article
  11. Article
  12. Article
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  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Kevin J ParkerDepartment of Electrical & Computer Engineering, University of Rochester, Rochester, New York 14627, United States of America.ORCID 0000-0002-6313-6605
Jihye BaekDepartment of Electrical & Computer Engineering, University of Rochester, Rochester, New York 14627, United States of America.

Funding

The H-scan approach to classifying ultrasound echoesR21EB025290 · NIBIB · UNIVERSITY OF ROCHESTER · PI PARKER, KEVIN J · 2018 to 2019
$420k
NIBIB NIH HHS R21 EB025290
6 · The paper itself

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.

Indexed as

Phantoms, ImagingAcousticsAnimalsElectric ImpedanceFourier AnalysisHumansImage Processing, Computer-AssistedLiverMiceModels, TheoreticalNeoplasm MetastasisNormal DistributionRatsScattering, RadiationUltrasonicsUltrasonography

Identifiers

PMID33444273
PMCPMC8042758

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Registered trials

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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.