Evidence map›Paper›PMID 40294767›Full record

ArticleMagnetic resonance imaging2025

Linear rotationally invariant kurtosis measures from double diffusion encoding MRI.

Hunter G Moss, Thorsten Feiweier, Andreana Benitez, Jens H Jensen

Abstract read
In one paragraph

Article in Magnetic resonance imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Hunter G MossCenter for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, USA; Department of Neuroscience, Medical University of South Carolina, Charleston, SC, United States of America.
Thorsten FeiweierResearch & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany.
Andreana BenitezCenter for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, USA; Department of Neurology, Medical University of South Carolina, Charleston, SC, USA.
Jens H JensenCenter for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, USA; Department of Neuroscience, Medical University of South Carolina, Charleston, SC, United States of America; Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA. Electronic address: jense@musc.edu.

Funding

Quantitative Neuroimaging Assessment of White Matter Integrity in the Context of Aging and ADR01AG054159 · NIA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Andreana Benitez · 2017 to 2026
$8.9M
Diffusion and Functional MRI Monitoring of Therapy Response in Alzheimer’s Disease Mouse ModelR01AG057602 · NIA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI MARIA F FALANGOLA, JENS H JENSEN · 2023 to 2026
$2.7M
NIA NIH HHS R01 AG054159NIA NIH HHS R01 AG057602
6 · The paper itself

Abstract

purposeTo characterize the complete set of linear rotationally invariant kurtosis measures provided by double diffusion encoding (DDE) MRI, show their utility in distinguishing different types of multiple Gaussian compartment (MGC) models, and demonstrate simplified acquisition and analysis schemes for their estimation. THEORY AND

methodsThe lowest order novel information obtainable with DDE MRI can be encapsulated in a six-dimensional kurtosis tensor. The most basic DDE MRI kurtosis measures are rotational invariants that are linear in this tensor while depending on no other physical quantities. We identify four such invariants and show that any others must be linear combinations of these. The invariants are applied to classify MGC models according to whether they include microscopic anisotropy or intercompartmental water exchange. In addition, they are used to investigate the effect of exchange on estimates of the microscopic fractional anisotropy (μFA). Simplified acquisition and analysis schemes for the invariants are proposed and demonstrated with human brain data obtained at 3 T.

resultsFor the considered brain regions, the kurtosis invariants are found to be largely consistent with MGC models having microscopic anisotropy. They also indicate that water exchange in gray matter may affect estimates of μFA.

conclusionThe kurtosis measures can classify MGC models according to whether they have microscopic anisotropy or water exchange, and they can be estimated with simple acquisition and analysis schemes. Measurements of the invariants in brain support the validity of MGC models with microscopic anisotropy and the importance of water exchange for modeling diffusion in gray matter.

Indexed as

BrainDiffusion Magnetic Resonance ImagingImage Interpretation, Computer-AssistedAlgorithmsAnisotropyHumansImage EnhancementNormal DistributionReproducibility of ResultsRotationSensitivity and SpecificityBrainDouble diffusion encoding MRIKärger modelKurtosisMicroscopic anisotropyRotational invariantsWater exchange

Identifiers

PMID40294767
PMCPMC12228534

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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.