Subject-Specific Alignment and Mass Distribution in Musculoskeletal Models of the Lumbar Spine.
automatized model generation
bi-planar radiography
musculoskeletal modelling
spine biomechanics
spine loading prediction
subject-specificity
thoracolumbar alignment
upper body mass distribution
Journal
Frontiers in bioengineering and biotechnology
ISSN: 2296-4185
Titre abrégé: Front Bioeng Biotechnol
Pays: Switzerland
ID NLM: 101632513
Informations de publication
Date de publication:
2021
2021
Historique:
received:
05
06
2021
accepted:
06
08
2021
entrez:
17
9
2021
pubmed:
18
9
2021
medline:
18
9
2021
Statut:
epublish
Résumé
Musculoskeletal modeling is a well-established method in spine biomechanics and generally employed for investigations concerning both the healthy and the pathological spine. It commonly involves inverse kinematics and optimization of muscle activity and provides detailed insight into joint loading. The aim of the present work was to develop and validate a procedure for the automatized generation of semi-subject-specific multi-rigid body models with an articulated lumbar spine. Individualization of the models was achieved with a novel approach incorporating information from annotated EOS images. The size and alignment of bony structures, as well as specific body weight distribution along the spine segments, were accurately reproduced in the 3D models. To ensure the pipeline's robustness, models based on 145 EOS images of subjects with various weight distributions and spinopelvic parameters were generated. For validation, we performed kinematics-dependent and segment-dependent comparisons of the average joint loads obtained for our cohort with the outcome of various published
Identifiants
pubmed: 34532314
doi: 10.3389/fbioe.2021.721042
pii: 721042
pmc: PMC8438119
doi:
Types de publication
Journal Article
Langues
eng
Pagination
721042Informations de copyright
Copyright © 2021 Fasser , Jokeit , Kalthoff , Gomez Romero , Trache, Snedeker, Farshad and Widmer .
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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