Evidence map›Paper›PMID 40534286›Full record

ArticleMagnetic resonance in medicine2025

Detection of transient tissue displacement using wavelet MR elastography: Phantom validation and in vivo human brain repeatability study.

Yuan Le, Xiang Shan, Kevin J Glaser, Jun Chen, Phillip J Rossman, Yi Sui, Armando Manduca, John Huston, Richard L Ehman, Ziying Yin

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 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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0citing papers in PubMed
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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

The trial behind it

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Yuan LeDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0002-1444-8792
Xiang ShanDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Kevin J GlaserDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Jun ChenDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Phillip J RossmanDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Yi SuiDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0002-8177-1661
Armando ManducaDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0002-9411-5671
John HustonDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Richard L EhmanDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0001-7041-5074
Ziying YinDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0003-3235-966X

Funding

Magnetic Resonance ElastographyR37EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2016 to 2025
$4.0M
Magnetic Resonance ElastographyR01EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2003 to 2013
$3.1M
MR elastography-based detection of impaired decoupling performance of the pia-arachnoid complex (PAC) associated with repetitive head impactsR01NS113760 · NINDS · MAYO CLINIC ROCHESTER · PI Ziying Yin · 2019 to 2026
$2.9M
MRI-based quantitative characterization of impaired myofascial interface properties in myofascial pain syndromeR61AT012185 · NCCIH · MAYO CLINIC ROCHESTER · PI BAUER, BRENT A, YIN, ZIYING · 2022 to 2022
$2.0M
NCCIH NIH HHS R61 AT012185NIBIB NIH HHS R37 EB001981NIH HHS R01 EB001981NIH HHS R01 NS113760NIH HHS R61 AT012185NINDS NIH HHS R01 NS113760
6 · The paper itself

Abstract

purposeWhile standard MR elastography (MRE) uses harmonic mechanical waves, there are some applications in which imaging and analysis of transient mechanical motion are of interest. Wavelet MRE has been developed for detecting broadband motion from transient excitation. The goal of this study was to evaluate the accuracy and efficiency of wavelet MRE for transient displacement detection in brain MRE applications.

methodsTransient motion was induced in a gel phantom, while MRE images were acquired using bipolar motion-encoding gradient (MEG) at multiple frequencies (20-200 Hz). Displacements were estimated using (1) combinations of multiple MEGs forming the wavelet MRE and (2) deconvolution from a single MEG. These estimated displacements were used to calculate the MRE phase for each MEG. Correlation (r

resultsWavelet MRE outperformed standard MRE in displacement estimation, showing higher correlations between calculated and acquired phase, even with fewer phase offsets. In the volunteer study, consistent temporal motion dynamics and spatial maximal principal strain distributions across repeated scans demonstrated the repeatability of wavelet MRE.

conclusionThis study validated the accuracy and efficiency of wavelet MRE for broadband motion detection and demonstrated its feasibility and repeatability in vivo. This technique shows promise for advancing our understanding of the injury risks and mechanisms associated with sports-related head trauma.

Indexed as

BrainElasticity Imaging TechniquesMagnetic Resonance ImagingAdultAlgorithmsFemaleHumansImage Processing, Computer-AssistedMaleMotionPhantoms, ImagingReproducibility of ResultsWavelet Analysisbrain responseHaar waveletsmagnetic resonance elastographymotion detectiontransient MREwavelet MRE

Identifiers

PMID40534286
PMCPMC12236151

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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.