Magnetic Resonance Imaging Biomarkers of Muscle.


Journal

Tomography (Ann Arbor, Mich.)
ISSN: 2379-139X
Titre abrégé: Tomography
Pays: Switzerland
ID NLM: 101671170

Informations de publication

Date de publication:
02 Sep 2024
Historique:
received: 03 08 2024
revised: 29 08 2024
accepted: 30 08 2024
medline: 27 9 2024
pubmed: 27 9 2024
entrez: 27 9 2024
Statut: epublish

Résumé

This review is focused on the current status of quantitative MRI (qMRI) of skeletal muscle. The first section covers the techniques of qMRI in muscle with the focus on each quantitative parameter, the corresponding imaging sequence, discussion of the relation of the measured parameter to underlying physiology/pathophysiology, the image processing and analysis approaches, and studies on normal subjects. We cover the more established parametric mapping from T1-weighted imaging for morphometrics including image segmentation, proton density fat fraction, T2 mapping, and diffusion tensor imaging to emerging qMRI features such as magnetization transfer including ultralow TE imaging for macromolecular fraction, and strain mapping. The second section is a summary of current clinical applications of qMRI of muscle; the intent is to demonstrate the utility of qMRI in different disease states of the muscle rather than a complete comprehensive survey.

Identifiants

pubmed: 39330752
pii: tomography10090106
doi: 10.3390/tomography10090106
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1411-1438

Subventions

Organisme : NIH/ National Institute of Aging
ID : R01AG056999.

Auteurs

Usha Sinha (U)

Department of Physics, San Diego State University, San Diego, CA 92182, USA.

Shantanu Sinha (S)

Muscle Imaging and Modeling Lab., Department of Radiology, University of California at San Diego, San Diego, CA 92037, USA.

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Classifications MeSH