Literature DB >> 30638978

Hypersensitivity of trunk biomechanical model predictions to errors in image-based kinematics when using fully displacement-control techniques.

A H Eskandari1, N Arjmand2, A Shirazi-Adl3, F Farahmand1.   

Abstract

Recent advances in medical imaging techniques have allowed pure displacement-control trunk models to estimate spinal loads with no need to calculate muscle forces. Sensitivity of these models to the errors in post-imaging evaluation of displacements (reported to be ∼0.4-0.9° and 0.2-0.3 mm in vertebral displacements) has not yet been investigated. A Monte Carlo analysis was therefore used to assess the sensitivity of results in both musculoskeletal (MS) and passive finite element (FE) spine models to errors in measured displacements. Six static activities in upright standing, flexed, and extended postures were initially simulated using a force-control hybrid MS-FE model. Computed vertebral displacements were subsequently used to drive two distinct fully displacement-control MS and FE models. Effects of alterations in the reference vertebral displacements (at 3 error levels with SD (standard deviation) = 0.1, 0.2, and 0.3 mm in input translations together with, respectively, 0.2, 0.4, and 0.6° in input rotations) were investigated on the model predictions. Results indicated that outputs of both models had substantial task-dependent sensitivities to errors in the measured vertebral translations. For instance, L5-S1 intradiscal pressures (IDPs) were considerably affected (SD values reaching 1.05 MPa) and axial compression and shear forces even reversed directions as translation errors increased to 0.3 mm. Outputs were however generally much less sensitive to errors in measured vertebral rotations. Accounting for the accuracies in image-based kinematics measurements, therefore, it is concluded that the current measured vertebral translation errors at and beyond 0.1 mm are too large to drive biomechanical models of the spine.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Finite element model; Monte Carlo Method; Musculoskeletal; Sensitivity; Spine

Year:  2019        PMID: 30638978     DOI: 10.1016/j.jbiomech.2018.12.043

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  5 in total

1.  Biomechanical Properties of Paraspinal Muscles Influence Spinal Loading-A Musculoskeletal Simulation Study.

Authors:  Masoud Malakoutian; C Antonio Sanchez; Stephen H M Brown; John Street; Sidney Fels; Thomas R Oxland
Journal:  Front Bioeng Biotechnol       Date:  2022-06-02

2.  Investigation of Alterations in the Lumbar Disc Biomechanics at the Adjacent Segments After Spinal Fusion Using a Combined In Vivo and In Silico Approach.

Authors:  Chaochao Zhou; Thomas Cha; Wei Wang; Runsheng Guo; Guoan Li
Journal:  Ann Biomed Eng       Date:  2020-08-12       Impact factor: 3.934

3.  A Dynamic Optimization Approach for Solving Spine Kinematics While Calibrating Subject-Specific Mechanical Properties.

Authors:  Wei Wang; Dongmei Wang; Antoine Falisse; Pieter Severijns; Thomas Overbergh; Lieven Moke; Lennart Scheys; Friedl De Groote; Ilse Jonkers
Journal:  Ann Biomed Eng       Date:  2021-04-13       Impact factor: 3.934

4.  The importance of intervertebral disc material model on the prediction of mechanical function of the cervical spine.

Authors:  Amin Komeili; Akbar Rasoulian; Fatemeh Moghaddam; Marwan El-Rich; Le Ping Li
Journal:  BMC Musculoskelet Disord       Date:  2021-04-02       Impact factor: 2.362

5.  Validation of a Patient-Specific Musculoskeletal Model for Lumbar Load Estimation Generated by an Automated Pipeline From Whole Body CT.

Authors:  Tanja Lerchl; Malek El Husseini; Amirhossein Bayat; Anjany Sekuboyina; Luis Hermann; Kati Nispel; Thomas Baum; Maximilian T Löffler; Veit Senner; Jan S Kirschke
Journal:  Front Bioeng Biotechnol       Date:  2022-07-11
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.