A novel contact interaction formulation for voxel-based micro-finite-element models of bone

Voxel-based micro-finite-element (μFE) models are used extensively in bone mechanics research. A major disadvantage of voxel-based μFE models is that voxel surface jaggedness causes distortion of contact-induced stresses. Past efforts in resolving this problem have only been partially successful, ie, mesh smoothing failed to preserve uniformity of the stiffness matrix, resulting in (excessively) larger solution times, whereas reducing contact to a bonded interface introduced spurious tensile stresses at the contact surface. This paper introduces a novel "smooth" contact formulation that defines gap distances based on an artificial smooth surface representation while using the conventional penalty contact framework. Detailed analyses of a sphere under compression demonstrated that the smooth formulation predicts contact-induced stresses more accurately than the bonded contact formulation. When applied to a realistic bone contact problem, errors in the smooth contact result were under 2%, whereas errors in the bonded contact result were up to 42.2%. We conclude that the novel smooth contact formulation presents a memory-efficient method for contact problems in voxel-based μFE models. It presents the first method that allows modeling finite slip in large-scale voxel meshes common to high-resolution image-based models of bone while keeping the benefits of a fast and efficient voxel-based solution scheme.

[1]  R. Müller,et al.  The discrete nature of trabecular bone microarchitecture affects implant stability. , 2012, Journal of biomechanics.

[2]  Ralph Müller,et al.  Smooth surface meshing for automated finite element model generation from 3D image data. , 2006, Journal of biomechanics.

[3]  Mark F. Adams,et al.  Ultrascalable Implicit Finite Element Analyses in Solid Mechanics with over a Half a Billion Degrees of Freedom , 2004, Proceedings of the ACM/IEEE SC2004 Conference.

[4]  S. Boyd,et al.  In vivo monitoring of bone–implant bond strength by microCT and finite element modelling , 2013, Computer methods in biomechanics and biomedical engineering.

[5]  David J. Benson,et al.  Sliding interfaces with contact-impact in large-scale Lagrangian computations , 1985 .

[6]  Cyril Flaig,et al.  A scalable memory efficient multigrid solver for micro-finite element analyses based on CT images , 2011, Parallel Comput..

[7]  Steven K Boyd,et al.  Mapping anisotropy of the proximal femur for enhanced image based finite element analysis. , 2014, Journal of biomechanics.

[8]  Stephen J Ferguson,et al.  Computational analysis of primary implant stability in trabecular bone. , 2015, Journal of biomechanics.

[9]  Serge Van Sint Jan The VAKHUM project: virtual animation of the kinematics of the human , 2000 .

[10]  J. Gram,et al.  Bone geometry, density, and microarchitecture in the distal radius and tibia in adults with osteogenesis imperfecta type I assessed by high‐resolution pQCT , 2012, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[11]  Enrico Dall'Ara,et al.  Clinical versus pre-clinical FE models for vertebral body strength predictions. , 2014, Journal of the mechanical behavior of biomedical materials.

[12]  P. Arbenz,et al.  Implant stability is affected by local bone microstructural quality. , 2011, Bone.

[13]  Taiji Adachi,et al.  Effects of a Fixation Screw on Trabecular Structural Changes in a Vertebral Body Predicted by Remodeling Simulation , 2003, Annals of Biomedical Engineering.

[14]  Mary L Bouxsein,et al.  Microstructural Failure Mechanisms in the Human Proximal Femur for Sideways Fall Loading , 2014, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[15]  Cyril Flaig,et al.  On Smoothing Surfaces in Voxel Based Finite Element Analysis of Trabecular Bone , 2009, LSSC.

[16]  van B Bert Rietbergen,et al.  Micro-FE analyses of bone: state of the art. , 2001 .

[17]  R E Guldberg,et al.  The accuracy of digital image-based finite element models. , 1998, Journal of biomechanical engineering.

[18]  William E. Lorensen,et al.  Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.

[19]  F. Eckstein,et al.  Image-based micro-finite-element modeling for improved distal radius strength diagnosis: moving from bench to bedside. , 2004, Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry.

[20]  Masako Ito,et al.  Assessment of bone quality using micro-computed tomography (micro-CT) and synchrotron micro-CT , 2009, Journal of Bone and Mineral Metabolism.

[21]  G. H. van Lenthe,et al.  Non-invasive bone competence analysis by high-resolution pQCT: an in vitro reproducibility study on structural and mechanical properties at the human radius. , 2009, Bone.

[22]  Volker Kuhn,et al.  Sex Differences of Human Trabecular Bone Microstructure in Aging Are Site‐Dependent , 2007, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[23]  Christian Hellmich,et al.  A multiscale analytical approach for bone remodeling simulations: linking scales from collagen to trabeculae. , 2014, Bone.

[24]  Thomas D Brown,et al.  A Voxel-based Formulation for Contact Finite Element Analysis , 2002, Computer methods in biomechanics and biomedical engineering.

[25]  B S Myers,et al.  An improved method for finite element mesh generation of geometrically complex structures with application to the skullbase. , 1997, Journal of biomechanics.

[26]  C. Armstrong,et al.  Thickness and distribution of human femoral head articular cartilage. Changes with age. , 1977, Annals of the rheumatic diseases.

[27]  R. Müller,et al.  Computational analyses of small endosseous implants in osteoporotic bone. , 2010, European cells & materials.

[28]  R K Korhonen,et al.  Structure-function relationships in osteoarthritic human hip joint articular cartilage. , 2012, Osteoarthritis and cartilage.

[29]  B. van Rietbergen,et al.  A survey of micro-finite element analysis for clinical assessment of bone strength: the first decade. , 2015, Journal of biomechanics.

[30]  Gianluca Tozzi,et al.  Micro Finite Element models of the vertebral body: Validation of local displacement predictions , 2017, PloS one.

[31]  Sim Heng Ong,et al.  Computational biomechanical modelling of the lumbar spine using marching-cubes surface smoothened finite element voxel meshing , 2005, Comput. Methods Programs Biomed..