Data · dataset · 2026
Transient shear wave elastometry using a portable magnetic resonance sensor
Listed in UNB Libraries Dataverse Research Data Repository
This repository contains all raw data files and processing scripts associated with the paper published in Magnetic Resonance in Medicine entitled “Transient Shear Wave Elastometry Using a Portable Magnetic Resonance Sensor.”
Description
Abstract
Purpose: Magnetic resonance elastography (MRE) provides detailed maps of tissue stiffness, helping to diagnose various health conditions, but requires the use of expensive clinical MRI scanners. Our approach utilizes compact, cost-effective portable MR sensors that offer bulk characterization of material properties in a region of interest close to the surface (within 1-2 cm). This accessible instrument could enable routine monitoring and prevention of diseases not readily evaluated with conventional tools.
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Methods
The method was tested on tissue-mimicking phantoms with varying stiffness. The gels were excited with acoustic pulses (one cycle of a sinusoidal waveform) at a fixed distance from the MR sensor. A series of delays between acoustic excitation and MR signal detection allowed time for the pulse to travel to the sensitive region.
Results: The "arrival time" of the shear wave, determined by the time-dependent MR signal response, was used to calculate the shear wave speed. MR measurements of shear wave speed were compared with optical sensor measurements and manufacturer-tabulated values, aligning with expected relative differences between samples. Conclusion: A portable MR-based transient elastometry technique for measuring tissue elasticity was developed and demonstrated on tissue-mimicking phantoms.
Future improvements include using a new portable magnet to investigate depth-dependent changes in elasticity in stratified samples and integrating MR relaxation and diffusion measurements for comprehensive tissue analysis. This approach can complement conventional MRE in applications where a portable, affordable, and localized assessment of tissue stiffness is required.
Links
Where it is published
- Dataverse dataset page dataverse.lib.unb.ca/dataset.xhtml?persistentId=doi%3A10.25545%2FFM1GXY ↗
landing page · from dataverse lib unb ca
- DOI doi.org/10.25545/fm1gxy ↗
DOI / persistent id · from dataverse lib unb ca
Catalogue records · 1
- Dataverse API dataverse.lib.unb.ca/api/datasets/:persistentId/?persistentId=doi%3A10.25545%2FFM1G… ↗
metadata API · from dataverse lib unb ca
Topics
- Stated by source
- Physics
- From keywords
- Physics
- Inferred from text
- Magnetic resonance imaging 65%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| UNB Libraries Dataverse Research Data Repository | doi:10.25545/FM1GXY | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:physics | source · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 | /subjects |
| concepts[field].local:field:physics | mapping · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 | /subjects |
| concepts[modality].local:modality:mri | enrichment · dataverse lib unb ca | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 | |
| description | source · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 | /description |
| publication_date | source · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 | |
| title | source · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 | /name |
| updated_date | source · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 | |
| version_label | source · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 |