Evidence map›Paper›PMID 40505200›Full record

ArticleComputer methods and programs in biomedicine2025

Local phase velocity imaging with wavenumber filter banks for ultrasound shear wave elastography.

Ramin Almasi, Matthew W Urban, Piotr Kijanka

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Article in Computer methods and programs in biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Ramin AlmasiDepartment of Robotics and Mechatronics, AGH University of Krakow, 30-059 Krakow, Poland.
Matthew W UrbanDepartment of Radiology, Mayo Clinic, Rochester, MN 55905 USA and also with the Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN 55905 USA.
Piotr KijankaDepartment of Robotics and Mechatronics, AGH University of Krakow, 30-059 Krakow, Poland. Electronic address: piotr.kijanka@agh.edu.pl.

Funding

Measurement of Renal Viscoelastic Properties with UltrasoundR01DK092255 · NIDDK · MAYO CLINIC ROCHESTER · PI URBAN, MATTHEW WILLIAM · 2012 to 2022
$5.2M
NIDDK NIH HHS R01 DK092255
6 · The paper itself

Abstract

BACKGROUND AND

objectivesUltrasound shear wave elastography is a non-invasive imaging technique for the assessment of the mechanical properties of tissues. However, existing techniques may yield erroneous assessments of lesion size or shape, particularly at low frequencies (250-500 Hz).

methodsThis study introduces a novel imaging technique, Local Phase Velocity-based Imaging utilizing Wavenumber-domain Bell Filters (LPVI-WBF), which enables the imaging of shear wave velocity in soft tissue at a single low frequency. This approach offers enhanced tissue lateral propagation and more precise stiffness measurements at low frequencies. Operating in the frequency-wavenumber domain, LPVI-WBF employs an adaptive approach that utilizes a custom two-dimensional Fourier transform and its inverse to enhance the phase velocity image smoothness with reduced time complexity and memory usage. In comparison with the original Local Phase Velocity-Based Imaging (LPVI) method, the LPVI-WBF has been demonstrated to reduce bias in phase velocity values at low frequencies (250-500 Hz) for stiffer inclusions which are of considerable significance in clinical contexts. Furthermore, a sliding window is not employed in LPVI-WBF due to the associated complications. In this study, both left-to-right and right-to-left acoustic radiation force pushes are employed to enhance the outcomes of a single push.

resultsThe results of our experiments with a heterogeneous elastic phantom demonstrate that proposed LPVI-WBF is an effective technique for reconstructing two-dimensional shear wave phase velocity maps with more accurate values and a higher contrast-to-noise ratio between target and background at low frequencies (i.e., below 500 Hz). Moreover, it reduces the processing time and memory usage by 39% and 94%, respectively.

conclusionThis paper proposes a novel method for generating 2-D shear wave phase velocity images, resulting in local phase velocity maps that more accurately reflect the B-mode true shapes and values at low frequencies (i.e. below 500 Hz), as demonstrated by results obtained from inclusion phantoms. Additionally, LPVI-WBF provides a higher contrast-to-noise ratio (CNR) at low frequencies for stiffer inclusions, which are of great importance in clinical applications.

Indexed as

Elasticity Imaging TechniquesAlgorithmsFourier AnalysisHumansImage Processing, Computer-AssistedPhantoms, ImagingFrequency-wavenumber domaink-spaceLocal phase velocity-based imaging (LPVI)Shear wave elastography (SWE)Soft tissueUltrasound

Identifiers

PMID40505200
PMCPMC12947805

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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.