Tractography of Porcine Meniscus Microstructure Using High-Resolution Diffusion Magnetic Resonance Imaging.
DTI
connectivity
knee
meniscus
segmentation
tractography
Journal
Frontiers in endocrinology
ISSN: 1664-2392
Titre abrégé: Front Endocrinol (Lausanne)
Pays: Switzerland
ID NLM: 101555782
Informations de publication
Date de publication:
2022
2022
Historique:
received:
15
02
2022
accepted:
04
04
2022
entrez:
27
5
2022
pubmed:
28
5
2022
medline:
31
5
2022
Statut:
epublish
Résumé
To noninvasively evaluate the three-dimensional collagen fiber architecture of porcine meniscus using diffusion MRI, meniscal specimens were scanned using a 3D diffusion-weighted spin-echo pulse sequence at 7.0 T. The collagen fiber alignment was revealed in each voxel and the complex 3D collagen network was visualized for the entire meniscus using tractography. The proposed automatic segmentation methods divided the whole meniscus to different zones (Red-Red, Red-White, and White-White) and different parts (anterior, body, and posterior). The diffusion tensor imaging (DTI) metrics were quantified based on the segmentation results. The heatmap was generated to investigate the connections among different regions of meniscus. Strong zonal-dependent diffusion properties were demonstrated by DTI metrics. The fractional anisotropy (FA) value increased from 0.13 (White-White zone) to 0.26 (Red-Red zone) and the radial diffusivity (RD) value changed from 1.0 × 10
Identifiants
pubmed: 35620393
doi: 10.3389/fendo.2022.876784
pmc: PMC9127075
doi:
Substances chimiques
Collagen
9007-34-5
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
876784Subventions
Organisme : NIBIB NIH HHS
ID : P41 EB015897
Pays : United States
Informations de copyright
Copyright © 2022 Shen, Zhao, Qi, Cofer, Johnson and Wang.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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