Evidence map›Paper›PMID 38908327›Full record

ArticleJournal of the mechanical behavior of biomedical materials2024

1-Norm waveform analysis for MR elastography-based quantification of inhomogeneity: Effects of the freeze-thaw cycle and Alzheimer's disease.

Harish Palnitkar, Rolf Reiter, Shreyan Majumdar, Joseph Crutison, Shujun Lin, Thomas J Royston, Dieter Klatt

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Article in Journal of the mechanical behavior of biomedical materials, 2024. 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Harish PalnitkarDepartment of Mechanical and Industrial Engineering, University of Illinois Chicago, Chicago, IL, 60607, United States; Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, United States. Electronic address: palnitkar.harishravindra@mayo.edu.
Rolf ReiterDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Hindenburgdamm 30, 12203, Berlin, Germany; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, BIH Charité Digital Clinician Scientist Program, Charitéplatz 1, 10117, Berlin, Germany; Richard and Loan Hill Department of Biomedical Engineering, University of Illinois Chicago, 830 South Wood Street, Chicago, IL, 60612, United States. Electronic address: rolf.reiter@charite.de.
Shreyan MajumdarRichard and Loan Hill Department of Biomedical Engineering, University of Illinois Chicago, 830 South Wood Street, Chicago, IL, 60612, United States. Electronic address: majumdar.shreyan@gmail.com.
Joseph CrutisonRichard and Loan Hill Department of Biomedical Engineering, University of Illinois Chicago, 830 South Wood Street, Chicago, IL, 60612, United States. Electronic address: jcruti2@uic.edu.
Shujun LinRichard and Loan Hill Department of Biomedical Engineering, University of Illinois Chicago, 830 South Wood Street, Chicago, IL, 60612, United States. Electronic address: slin78@uic.edu.
Thomas J RoystonRichard and Loan Hill Department of Biomedical Engineering, University of Illinois Chicago, 830 South Wood Street, Chicago, IL, 60612, United States. Electronic address: troyston@uic.edu.
Dieter KlattRichard and Loan Hill Department of Biomedical Engineering, University of Illinois Chicago, 830 South Wood Street, Chicago, IL, 60612, United States. Electronic address: dklatt@uic.edu.

Funding

Noninvasive Tools for Assessing Muscle Structure and FunctionR01AR071162 · NIAMS · NORTHWESTERN UNIVERSITY · PI ERIC JON PERREAULT · 2016 to 2026
$6.1M
NIAMS NIH HHS R01 AR071162NSF 185269NSF CMMI-1935462
6 · The paper itself

Abstract

backgroundDespite its success in the mechanical characterization of biological tissues, magnetic resonance elastography (MRE) uses ill-posed wave inversions to estimate tissue stiffness. 1-Norm has been recently introduced as a mathematical measure for the scattering of mechanical waves due to inhomogeneities based on an analysis of the delineated contours of wave displacement. PURPOSE: To investigate 1-Norm as an MRE-based quantitative biomarker of mechanical inhomogeneities arising from microscopic structural tissue alterations caused by the freeze-thaw cycle (FTC) or Alzheimer's disease (AD).

methodsIn this proof-of-concept study, we prospectively investigated excised porcine kidney (n = 6), liver (n = 6), and muscle (n = 6) before vs. after the FTC at 500-2000 Hz and excised murine brain of healthy controls (n = 3) vs. 5xFAD species with AD (n = 3) at 1200-1800 Hz using 0.5 T tabletop MRE. 1-Norm analysis was compared with conventional wave inversion.

resultsWhile the FTC reduced both stiffness and inhomogeneity in kidney, liver, and muscle tissue, AD led to lower brain stiffness but more pronounced mechanical inhomogeneity.

conclusionOur preliminary results show that 1-Norm is sensitive to tissue mechanical inhomogeneity due to FTC and AD without relying on ill-posed wave inversion techniques. 1-Norm has the potential to be used as an MRE-based diagnostic biomarker independent of stiffness to characterize abnormal conditions that involve changes in tissue mechanical inhomogeneity.

Indexed as

Alzheimer DiseaseElasticity Imaging TechniquesFreezingAnimalsBrainMagnetic Resonance ImagingMechanical PhenomenaMiceSwine1-NormAlzheimer's diseaseFreezing and thawingInhomogeneityMagnetic resonance elastography

Identifiers

PMID38908327
PMCPMC13131022

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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.