A principal component analysis of the relationship between the external body shape and internal skeleton for the upper body

Autor: Xuguang Wang, Wafa Skalli, Agathe Nérot
Přispěvatelé: Laboratoire de Biomécanique et Mécanique des Chocs (LBMC UMR T9406), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR), LBM/institute de Biomécanique humaine Georges Charpak, Arts et Métiers ParisTech, HESAM Université (HESAM)-HESAM Université (HESAM), The clinical data used in this study were provided by the LBM/ Institut de Biomécanique Humaine Georges Charpak,Arts et Métiers ParisTech,Paris.The authors thank theParisTechBiomecAM chair program on subject-specific musculoskeletal modeling, and in particular COVEA and Société Générale.
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Surface (mathematics)
Adult
Male
Engineering
[SDV]Life Sciences [q-bio]
0206 medical engineering
SUBJECT-SPECIFIC HUMAN MODEL
Biomedical Engineering
Biophysics
Subject-specific human model
02 engineering and technology
Linkage (mechanical)
Skeleton (category theory)
Motion (physics)
law.invention
03 medical and health sciences
0302 clinical medicine
Imaging
Three-Dimensional
law
Humans
Orthopedics and Sports Medicine
3D reconstruction
Simulation
Skeleton
3D RECONSTRUCTION
Principal Component Analysis
PCA
business.industry
Upper body
Rehabilitation
BIPLANAR X-RAYS
Pattern recognition
INTERNAL POINTS PREDICTION
020601 biomedical engineering
3. Good health
Principal component analysis
Sciences du vivant
Artificial intelligence
business
Tomography
X-Ray Computed
Internal points prediction
Biplanar X-rays
030217 neurology & neurosurgery
Envelope (motion)
Zdroj: Journal of Biomechanics
Journal of Biomechanics, Elsevier, 2016, 49 (14), pp.3415-3422. ⟨10.1016/j.jbiomech.2016.09.006⟩
ISSN: 0021-9290
DOI: 10.1016/j.jbiomech.2016.09.006⟩
Popis: Recent progress in 3D scanning technologies allows easy access to 3D human body envelope. To create personalized human models with an articulated linkage for realistic re-posturing and motion analyses, an accurate estimation of internal skeleton points, including joint centers, from the external envelope is required. For this research project, 3D reconstructions of both internal skeleton and external envelope from low dose biplanar X-rays of 40 male adults were obtained. Using principal component analysis technique (PCA), a low-dimensional dataset was used to predict internal points of the upper body from the trunk envelope. A least squares method was used to find PC scores that fit the PCA-based model to the envelope of a new subject. To validate the proposed approach, estimated internal points were evaluated using a leave-one-out (LOO) procedure, i.e. successively considering each individual from our dataset as an extra-subject. In addition, different methods were proposed to reduce the variability in data and improve the performance of the PCA-based prediction. The best method was considered as the one providing the smallest errors between estimated and reference internal points with an average error of 8.3 mm anterior?posteriorly, 6.7 mm laterally and 6.5 mm vertically. As the proposed approach relies on few or no bony landmarks, it could be easily applicable and generalizable to surface scans from any devices. Combined with automatic body scanning techniques, this study could potentially constitute a new step towards automatic generation of external/internal subject-specific manikins. The clinical data used in this study were provided by the LBM/ Institut de Biomécanique Humaine Georges Charpak,Arts et Métiers ParisTech,Paris.The authors thank theParisTechBiomecAM chair program on subject-specific musculoskeletal modeling, and in particular COVEA and Société Générale.
Databáze: OpenAIRE
Externí odkaz: