Evidence map›Paper›PMID 37202245›Full record

ArticleUltrasound in medicine & biology2023

The impact of amplitude modulation frequency in harmonic motion imaging on inclusion characterization.

Niloufar Saharkhiz, Hermes A S Kamimura, Elisa E Konofagou

Abstract read
In one paragraph

Article in Ultrasound in medicine & biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Optimization of the Tracking Beam Sequence in Harmonic Motion Imaging.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024
    Article
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Niloufar SaharkhizDepartment of Biomedical Engineering, Columbia University, New York, NY 10027, USA.
Hermes A S KamimuraDepartment of Biomedical Engineering, Columbia University, New York, NY 10027, USA.
Elisa E KonofagouDepartment of Biomedical Engineering, Columbia University, New York, NY 10027, USA; Department of Radiology, Columbia University, New York, NY 10027, USA. Electronic address: ek2191@columbia.edu.

Funding

An integrated theranostic system for breast cancerR01CA228275 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KONOFAGOU, ELISA E. · 2018 to 2022
$2.7M
NCI NIH HHS R01 CA228275
6 · The paper itself

Abstract

objectiveUltrasound elasticity imaging techniques aim to provide a non-invasive characterization of tissue mechanical properties to detect pathological changes and monitor disease progression. Harmonic motion imaging (HMI) is an ultrasound-based elasticity imaging technique that utilizes an oscillatory acoustic radiation force to induce localized displacements and estimate relative tissue stiffness. Previous studies have applied a low amplitude modulation (AM) frequency of 25 or 50 Hz in HMI to assess the mechanical properties of different tissue types. In this study, we investigate the dependence of AM frequency in HMI and whether the frequency can be adjusted based on the size and mechanical properties of the underlying medium for enhanced image contrast and inclusion detection.

methodsA tissue-mimicking phantom with embedded inclusions at different sizes and stiffnesses was imaged within a range of AM frequencies from 25 to 250 Hz at 25-Hz step size. DISCUSSION: The AM frequency at which the maximum contrast and CNR are achieved depends on the size and stiffness of the inclusions. A general trend shows that contrast and CNR peak at higher frequencies for smaller inclusions. In addition, for some inclusions with the same size but different stiffnesses, the optimized AM frequency increases with the stiffness of the inclusion. Nevertheless, there is a shift between the frequencies at which the contrast peaks and those with maximum CNR. Finally, in agreement with the phantom findings, imaging an ex-vivo human specimen with a 2.7-cm breast tumor at a range of AM frequencies showed that the highest contrast and CNR are achieved at the AM frequency of 50 Hz.

conclusionThese findings indicate that the AM frequency can be optimized in different applications of HMI, especially in the clinic, for improved detection and characterization of tumors with different geometries and mechanical properties.

Indexed as

Elasticity Imaging TechniquesNeoplasmsElasticityHumansPhantoms, ImagingUltrasonographyacoustic radiation forceamplitude modulation frequencyARFIelasticity imagingharmonic motion imagingultrasound

Identifiers

PMID37202245
PMCPMC10392769

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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.