Estimation of spinal joint centers from external back profile and anatomical landmarks
TypeArticles dans des revues avec comité de lecture
Defining a subject-specific model of the human body is required for motion analysis in many fields, such as in ergonomics and clinical applications. However, locating internal joint centers from external characteristics of the body still remains a challenging issue, in particular for the spine. Current methods mostly require a set of rarely accessible (3D back or trunk surface) or operator dependent inputs (large number of palpated landmarks and landmarks-based anthropometrics). Therefore, there is a need to provide an alternative way to estimate joint centers only using a limited number of easily palpable landmarks and the external back profile. Two methods were proposed to predict the spinal joint centers: one using only 6 anatomical landmarks (ALs) (2 PSIS, T8, C7, IJ and PX) and one using both 6 ALs and the external back profile. Regressions were established using the X-ray based 3D reconstructions of 80 subjects and evaluated on 13 additional subjects of variable anthropometry. The predicted location of joint centers showed an average error 9.7 mm (±5.0) in the sagittal plane for all joints when using the external back profile. Similar results were obtained without using the external back profile, 9.5 mm (±5.0). Compared to other existing methods, the proposed methods offered a more accurate prediction with a smaller number of palpated points. Additional methods have to be developed for considering postures other than standing, such as a sitting position.
Fichier(s) constituant cette publication
Cette publication figure dans le(s) laboratoire(s) suivant(s)
Visualiser des documents liés par titre, auteur, créateur et sujet.
NÉROT, Agathe; SKALLI, Wafa; WANG, Xuguang (Taylor and Francis, 2015)In this study, the accuracy of the joint centres of the manikins generated by RAMSIS and Human Builder (HB), two digital human modelling (DHM) systems widely used in industry for virtual ergonomics simulation, was investigated. ...
A 3D reconstruction method of the body envelope from biplanar X-rays: Evaluation of its accuracy and reliability NÉROT, Agathe; CHOISNE, Julie; AMABILE, Célia; TRAVERT, Christophe; PILLET, Hélène; WANG, Xuguang; SKALLI, Wafa (Elsevier, 2015)The aim of this study was to propose a novel method for reconstructing the external body envelope from the low dose biplanar X-rays of a person. The 3D body envelope was obtained by deforming a template to match the surface ...
A principal component analysis of the relationship between the external body shape and internal skeleton for the upper body NÉROT, Agathe; SKALLI, Wafa; WANG, Xuguang (Elsevier, 2016)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 ...
NEROT, Agathe; WANG, Xuguang; PILLET, Hélène; SKALLI, Wafa (Taylor & Francis, 2015)Human external shape model is becoming easily available using scanning technology, stereophotogram- metry, or Microsoft Kinect systems. However locating the internal skeleton from the external shape remains a challenging ...
Determination of a new uniform thorax density representative of the living population from 3D external body shape modeling. AMABILE, Célia; CHOISNE, Julie; NÉROT, Agathe; PILLET, Hélène; SKALLI, Wafa (Elsevier, 2016)Body segment parameters (BSP) for each body's segment are needed for biomechanical analysis. To provide population-speciﬁc BSP, precise estimation of body's segments volume and density are needed. Widely used uniform ...