Statistical shape modeling of the geometric morphology of the canine femur, tibia, and patella.
SSM
canine
femur
morphology
statistical shape model
tibia
Journal
Frontiers in veterinary science
ISSN: 2297-1769
Titre abrégé: Front Vet Sci
Pays: Switzerland
ID NLM: 101666658
Informations de publication
Date de publication:
2024
2024
Historique:
received:
07
01
2024
accepted:
11
06
2024
medline:
26
7
2024
pubmed:
26
7
2024
entrez:
25
7
2024
Statut:
epublish
Résumé
Bone morphometry varies among dogs of different sizes and breeds. Studying these differences may help understand the predisposition of certain breeds for specific orthopedic pathologies. This study aimed to develop a statistical shape model (SSM) of the femur, patella, and tibia of dogs without any clinical orthopeadic abnormalities to analyze and compare morphological variations based on body weight and breed. A total of 97 CT scans were collected from different facilities and divided based on breed and body weight. The 3D models of the bones were obtained and aligned to a coordinate system. The SSM was created using principal component analysis (PCA) to analyze shape variations. The study found that the first few modes of variation accounted for a significant percentage of the total variation, with size/scale being the most prominent factor. The results provide valuable insights into normal anatomical variations and can be used for future research in understanding pathological bone morphologies and developing 3D imaging algorithms in veterinary medicine.
Identifiants
pubmed: 39051009
doi: 10.3389/fvets.2024.1366827
pmc: PMC11266300
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1366827Informations de copyright
Copyright © 2024 Huart, Pozzi, Bleedorn, Lu, Knell and Park.
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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