Linear rotationally invariant kurtosis measures from double diffusion encoding MRI

The 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.

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Publication Details

Journal
Magnetic Resonance Imaging
Published
2025-04-26
DOI
https://doi.org/10.1016/j.mri.2025.110399
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Linear rotationally invariant kurtosis measures from double diffusion encoding MRI

Thorsten Feiweier, Jens H. Jensen, Hunter G. Moss, Andreana M. Benitez
Magnetic Resonance Imaging
Advanced Neuroimaging Techniques and Applications
article

Linear rotationally invariant kurtosis measures from double diffusion encoding MRI

Thorsten Feiweier, Jens H. Jensen, Hunter G. Moss, Andreana M. Benitez
article en

Abstract

The 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.

Magnetic Resonance ImagingVol. 120
Siemens (Germany) (DE), Medical University of South Carolina (US), Siemens Healthineers (Germany) (DE)
Openalex Percentile: Top 86%
Advanced Neuroimaging Techniques and Applications
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