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      A hybrid statistical morphometry free-form deformation approach to 3D personalized foot-ankle models

      , , , , ,
      Journal of Biomechanics
      Elsevier BV

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          Most cited references28

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          OpenSim: open-source software to create and analyze dynamic simulations of movement.

          Dynamic simulations of movement allow one to study neuromuscular coordination, analyze athletic performance, and estimate internal loading of the musculoskeletal system. Simulations can also be used to identify the sources of pathological movement and establish a scientific basis for treatment planning. We have developed a freely available, open-source software system (OpenSim) that lets users develop models of musculoskeletal structures and create dynamic simulations of a wide variety of movements. We are using this system to simulate the dynamics of individuals with pathological gait and to explore the biomechanical effects of treatments. OpenSim provides a platform on which the biomechanics community can build a library of simulations that can be exchanged, tested, analyzed, and improved through a multi-institutional collaboration. Developing software that enables a concerted effort from many investigators poses technical and sociological challenges. Meeting those challenges will accelerate the discovery of principles that govern movement control and improve treatments for individuals with movement pathologies.
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            Evaluating function in the hallux valgus foot following a 12-week minimalist footwear intervention: A pilot computational analysis

            Hallux valgus is a foot pathological condition showing a lateral deviation of the first phalange and medial deviation of the first metatarsal. The purpose of the current study was to evaluate a longitudinal effect of minimalist footwear running protocol for a mild/moderate hallux valgus patient. The computer tomography (CT) images from a male hallux valgus (HV) patient were respectively scanned pre and post 12-week minimalist footwear running intervention. The pre and post -intervention foot finite element (FE) models were developed from the foot three-dimensional geometries manually segmented via the MIMICS 21.0. The post-process with SolidWorks 2019 was conducted for model assembly, consisting of 24 bones, 22 cartilages, five plantar fascia, and lumped encapsulated soft tissue. The foot FE models were solved in ANSYS Workbench 2020 R1 package. The FE models were validated against the plantar pressure (pre: 0.146 MPa vs 0.155 MPa, and post: 0.156 MPa vs 0.17 MPa) and vertical displacements (pre: 2.6 mm vs 2.4 ± 0.4 mm, and post 1.1 mm vs 1.3 ± 0.4 mm) of navicular measured from experiments. The first metatarsophalangeal joint showed varus realignment and the von Mises stress in the first metatarsal and the second metatarsal decreased 72.1% and 51.2% compared with pre-intervention (M1: 4.41 MPa and M2: 4.18 MPa). This framework investigated the shape adjustment and functional recovery in the mild/moderate HV deformity, which may provide references and implications for future studies with a larger cohort.
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              Machine learning methods to support personalized neuromusculoskeletal modelling

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                Author and article information

                Contributors
                Journal
                Journal of Biomechanics
                Journal of Biomechanics
                Elsevier BV
                00219290
                May 2024
                May 2024
                : 168
                : 112120
                Article
                10.1016/j.jbiomech.2024.112120
                f3bb7002-5268-4baa-bc23-cd37a80b2971
                © 2024

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