Literature DB >> 30740280

Efficient Computation of Cartilage Contact Pressures within Dynamic Simulations of Movement.

Colin R Smith1, Kwang Won Choi1, Dan Negrut1, Darryl G Thelen1,2,3.   

Abstract

The objective of this study was to assess the use of an advanced collision detection algorithm to simulate cartilage contact pressure patterns within dynamic musculoskeletal simulations of movement. We created a knee model that included articular cartilage contact for the tibiofemoral and patellofemoral joints. Knee mechanics were then predicted within the context of a dynamic gait simulation. At each time step of a simulation, ray-casting was used in conjunction with hierarchical oriented bounding boxes (OBB) to rapidly identify regions of overlap between articulating cartilage surfaces. Local cartilage contact pressure was then computed using an elastic foundation model. Collision detection implemented in parallel on a GPU provided up to a 10× speed increase when using high resolution mesh densities that had >10 triangles/mm2. However, pressure magnitudes converged at considerably lower mesh densities (2.6 triangles/mm2) where CPU and GPU implementations of collision detection exhibited equivalent performance. Simulated tibiofemoral contact locations were comparable to prior experimental measurements, while pressure magnitudes were similar to those predicted by finite element models. We conclude the use of ray-casting with hierarchical OBB for collision detection is a viable method for simulating joint contact mechanics in human movement.

Entities:  

Keywords:  cartilage contact pressure; collision detection; elastic foundation; joint contact

Year:  2016        PMID: 30740280      PMCID: PMC6366837          DOI: 10.1080/21681163.2016.1172346

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Eng Imaging Vis        ISSN: 2168-1163


  24 in total

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Journal:  Comput Methods Biomech Biomed Engin       Date:  2000       Impact factor: 1.763

2.  3-D anatomically based dynamic modeling of the human knee to include tibio-femoral and patello-femoral joints.

Authors:  Dumitru I Caruntu; Mohamed Samir Hefzy
Journal:  J Biomech Eng       Date:  2004-02       Impact factor: 2.097

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4.  The quasi-static response of compliant prosthetic sockets for transtibial amputees using finite element methods.

Authors:  Mario C Faustini; Richard R Neptune; Richard H Crawford
Journal:  Med Eng Phys       Date:  2005-06-06       Impact factor: 2.242

5.  Using computed muscle control to generate forward dynamic simulations of human walking from experimental data.

Authors:  Darryl G Thelen; Frank C Anderson
Journal:  J Biomech       Date:  2005-07-14       Impact factor: 2.712

6.  Using computational simulation to aid in the prediction of socket fit: a preliminary study.

Authors:  Winson C C Lee; Ming Zhang
Journal:  Med Eng Phys       Date:  2006-10-23       Impact factor: 2.242

Review 7.  Computational modeling: an alternative approach for investigating patellofemoral mechanics.

Authors:  John J Elias; Andrew J Cosgarea
Journal:  Sports Med Arthrosc Rev       Date:  2007-06       Impact factor: 1.985

8.  Fast collision detection methods for joint surfaces.

Authors:  Ehsan Arbabi; Ronan Boulic; Daniel Thalmann
Journal:  J Biomech       Date:  2008-12-04       Impact factor: 2.712

9.  Adaptive surrogate modeling for efficient coupling of musculoskeletal control and tissue deformation models.

Authors:  Jason P Halloran; Ahmet Erdemir; Antonie J van den Bogert
Journal:  J Biomech Eng       Date:  2009-01       Impact factor: 2.097

10.  Evaluation of a computational model used to predict the patellofemoral contact pressure distribution.

Authors:  John J Elias; David R Wilson; Robert Adamson; Andrew J Cosgarea
Journal:  J Biomech       Date:  2004-03       Impact factor: 2.712

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  7 in total

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Authors:  Sam Van Rossom; Mariska Wesseling; Dieter Van Assche; Ilse Jonkers
Journal:  Cartilage       Date:  2018-01-11       Impact factor: 4.634

2.  The effect of articular geometry features identified using statistical shape modelling on knee biomechanics.

Authors:  Allison L Clouthier; Colin R Smith; Michael F Vignos; Darryl G Thelen; Kevin J Deluzio; Michael J Rainbow
Journal:  Med Eng Phys       Date:  2019-03-06       Impact factor: 2.242

3.  Knee extension moment arm variations relate to mechanical function in walking and running.

Authors:  Mitchell G A Wheatley; Darryl G Thelen; Kevin J Deluzio; Michael J Rainbow
Journal:  J R Soc Interface       Date:  2021-08-18       Impact factor: 4.293

4.  Coordination amongst quadriceps muscles suggests neural regulation of internal joint stresses, not simplification of task performance.

Authors:  Cristiano Alessandro; Filipe O Barroso; Adarsh Prashara; David P Tentler; Hsin-Yun Yeh; Matthew C Tresch
Journal:  Proc Natl Acad Sci U S A       Date:  2020-03-23       Impact factor: 11.205

5.  Simulation of surface strain in tibiofemoral cartilage during walking for the prediction of collagen fiber orientation.

Authors:  Milad Rakhsha; Colin R Smith; Antonio Recuero; Scott C E Brandon; Michael F Vignos; Darryl G Thelen; Dan Negrut
Journal:  Comput Methods Biomech Biomed Eng Imaging Vis       Date:  2018-06-11

6.  Functional movement assessment by means of inertial sensor technology to discriminate between movement behaviour of healthy controls and persons with knee osteoarthritis.

Authors:  Rob van der Straaten; Mariska Wesseling; Ilse Jonkers; Benedicte Vanwanseele; Amber K B D Bruijnes; Jan Malcorps; Johan Bellemans; Jan Truijen; Liesbet De Baets; Annick Timmermans
Journal:  J Neuroeng Rehabil       Date:  2020-05-19       Impact factor: 4.262

7.  Discriminant validity of 3D joint kinematics and centre of mass displacement measured by inertial sensor technology during the unipodal stance task.

Authors:  R van der Straaten; M Wesseling; I Jonkers; B Vanwanseele; A K B D Bruijnes; J Malcorps; J Bellemans; J Truijen; L De Baets; A Timmermans
Journal:  PLoS One       Date:  2020-05-14       Impact factor: 3.240

  7 in total

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