Validation of Muscle Fiber Architecture of the Human Tongue Revealed by Diffusion Magnetic Resonance Imaging With Histology Verification.


Journal

Journal of speech, language, and hearing research : JSLHR
ISSN: 1558-9102
Titre abrégé: J Speech Lang Hear Res
Pays: United States
ID NLM: 9705610

Informations de publication

Date de publication:
17 10 2022
Historique:
pubmed: 3 9 2022
medline: 20 10 2022
entrez: 2 9 2022
Statut: ppublish

Résumé

The goal of this study is to validate the muscle architecture derived from both ex vivo and in vivo diffusion-weighted magnetic resonance imaging (dMRI) of the human tongue with histology of an ex vivo tongue. dMRI was acquired with a 200-direction high angular resolution diffusion imaging (HARDI) diffusion scheme for both a postmortem head (imaged within 48 hr after death) and a healthy volunteer. After MRI, the postmortem head was fixed and the tongue excised for hematoxylin and eosin (H&E) staining and histology imaging. Structure tensor images were generated from the stained images to better demonstrate muscle fiber orientations. The tongue muscle fiber orientations, estimated from dMRI, were visualized using the tractogram, a novel representation of crossing fiber orientations, and compared against the histology images of the ex vivo tongue. Muscle fibers identified in the tractograms showed good correspondence with those appearing in the histology images. We further demonstrated tongue muscle architecture in in vivo tractograms for the entire tongue. The study demonstrates that dMRI can accurately reveal the complex muscle architecture of the human tongue and may potentially benefit planning and evaluation of oral surgery and research on speech and swallowing.

Identifiants

pubmed: 36054846
doi: 10.1044/2022_JSLHR-22-00040
pmc: PMC9927595
doi:

Substances chimiques

Eosine Yellowish-(YS) TDQ283MPCW
Hematoxylin YKM8PY2Z55

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

3661-3673

Subventions

Organisme : NIDCD NIH HHS
ID : R01 DC014717
Pays : United States

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Auteurs

Xiao Liang (X)

Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore.

Nahla M H Elsaid (NMH)

Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT.

Li Jiang (L)

Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore.

Steve Roys (S)

Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore.

Adam C Puche (AC)

Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore.

Rao P Gullapalli (RP)

Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore.

Maureen Stone (M)

Department of Neural and Pain Sciences and Department of Orthodontics, University of Maryland School of Dentistry, Baltimore.

Jerry L Prince (JL)

Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD.

Jiachen Zhuo (J)

Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore.

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Classifications MeSH