Feasibility of an alternative method to estimate glenohumeral joint center from videogrammetry measurements and CT/MRI of patients.

Détails

ID Serval
serval:BIB_30EABE70E26D
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Feasibility of an alternative method to estimate glenohumeral joint center from videogrammetry measurements and CT/MRI of patients.
Périodique
Computer methods in biomechanics and biomedical engineering
Auteur(s)
Sarshari E., Mancuso M., Terrier A., Farron A., Mullhaupt P., Pioletti D.
ISSN
1476-8259 (Electronic)
ISSN-L
1025-5842
Statut éditorial
Publié
Date de publication
01/2021
Peer-reviewed
Oui
Volume
24
Numéro
1
Pages
33-42
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
Videogrammetry is commonly used to record upper limb motions. However, it cannot track the glenohumeral joint center (GH). GH is required to reconstruct upper limb motions. Therefore, it is often estimated by separately measuring scapular motions using scapular kinematics measurements devices (SKMD). Applications of SKMD are neither straightforward nor always noninvasive. Therefore, this work investigates the feasibility of an alternative method to estimate GH from videogrammetry using a CT/MRI image of subject's glenohumeral joint and without requiring SKMD. In order to evaluate the method's accuracy, its GH estimations were compared to reference GH trajectories. The method was also applied to estimate scapular configurations and reconstruct an abduction motion measured by videogrammetry. The accuracy of GH estimations were within 5 mm, and the reconstructed motion was in good agreement with reported in vivo measurements.
Mots-clé
Adult, Biomechanical Phenomena, Feasibility Studies, Humans, Magnetic Resonance Imaging, Male, Motion, Range of Motion, Articular, Scapula/diagnostic imaging, Shoulder Joint/diagnostic imaging, Shoulder Joint/physiology, Tomography, X-Ray Computed, Video Recording, Upper limb kinematics, glenohumeral-joint center, multi-segment optimization, scapular kinematics, videogrammetry
Pubmed
Web of science
Création de la notice
10/09/2020 10:32
Dernière modification de la notice
17/06/2021 5:35
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