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Kok J, Törnquist E, Raina DB, Le Cann S, Novak V, Širka A, Lidgren L, Grassi L, Isaksson H. Fracture behavior of a composite of bone and calcium sulfate/hydroxyapatite. J Mech Behav Biomed Mater 2022; 130:105201. [DOI: 10.1016/j.jmbbm.2022.105201] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 03/19/2022] [Accepted: 03/25/2022] [Indexed: 12/12/2022]
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Fu J, Meng H, Zhang C, Liu Y, Chen D, Wang A, Main RP, Yang H. Effects of tissue heterogeneity on trabecular micromechanics examined by microCT-based finite element analysis and digital volume correlation. MEDICINE IN NOVEL TECHNOLOGY AND DEVICES 2021. [DOI: 10.1016/j.medntd.2021.100088] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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Boulanaache Y, Becce F, Farron A, Pioletti DP, Terrier A. Glenoid bone strain after anatomical total shoulder arthroplasty: In vitro measurements with micro-CT and digital volume correlation. Med Eng Phys 2020; 85:48-54. [PMID: 33081963 DOI: 10.1016/j.medengphy.2020.09.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 08/31/2020] [Accepted: 09/23/2020] [Indexed: 01/09/2023]
Abstract
Glenoid implant loosening remains a major source of failure and concern after anatomical total shoulder arthroplasty (aTSA). It is assumed to be associated with eccentric loading and excessive bone strain, but direct measurement of bone strain after aTSA is not available yet. Therefore, our objective was to develop an in vitro technique for measuring bone strain around a loaded glenoid implant. A custom loading device (1500 N) was designed to fit within a micro-CT scanner, to use digital volume correlation for measuring displacement and calculating strain. Errors were evaluated with three pairs of unloaded scans. The average displacement random error of three pairs of unloaded scans was 6.1 µm. Corresponding systematic and random errors of strain components were less than 806.0 µε and 2039.9 µε, respectively. The average strain accuracy (MAER) and precision (SDER) were 694.3 µε and 440.3 µε, respectively. The loaded minimum principal strain (8738.9 µε) was 12.6 times higher than the MAER (694.3 µε) on average, and was above the MAER for most of the glenoid bone volume (98.1%). Therefore, this technique proves to be accurate and precise enough to eventually compare glenoid implant designs, fixation techniques, or to validate numerical models of specimens under similar loading.
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Affiliation(s)
- Y Boulanaache
- Laboratory of Biomechanical Orthopedics, Ecole Polytechnique Fédérale de Lausanne, Station 9, 1015 Lausanne, Switzerland
| | - F Becce
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - A Farron
- Service of Orthopedics and Traumatology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - D P Pioletti
- Laboratory of Biomechanical Orthopedics, Ecole Polytechnique Fédérale de Lausanne, Station 9, 1015 Lausanne, Switzerland
| | - A Terrier
- Laboratory of Biomechanical Orthopedics, Ecole Polytechnique Fédérale de Lausanne, Station 9, 1015 Lausanne, Switzerland.
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Zhou Y, Gong C, Hossaini-Zadeh M, Du J. 3D full-field strain in bone-implant and bone-tooth constructs and their morphological influential factors. J Mech Behav Biomed Mater 2020; 110:103858. [PMID: 32501222 DOI: 10.1016/j.jmbbm.2020.103858] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 05/08/2020] [Accepted: 05/10/2020] [Indexed: 01/20/2023]
Abstract
The biomechanics of bone-tooth and bone-implant interfaces affects the outcomes of several dental treatments, such as implant placement, because bone, tooth and periodontal ligament are living tissues that adapt to the changes in mechanical stimulations. In this work, mechanical testing coupled with micro-CT was performed on human cadaveric mandibular bone-tooth and bone-implant constructs. Using digital volume correlation, the 3D full-field strain in bone under implant loading and tooth loading was measured. Concurrently, bone morphology and bone-implant and bone-tooth contact were also measured through the analysis of micro-CT images. The results show that strain in bone increased when a tooth was replaced by a dental implant. Strain concentration was observed in peri-implant bone, as well as in the buccal bone plate, which is also the clinically-observed bone resorption area after implant placement. Decreasing implant stability measurements (resonance frequency analysis and torque test) indicated increased peri-implant strain, but their relationships may not be linear. Peri-implant bone strain linearly increased with decreasing bone-implant contact (BIC) ratio. It also linearly decreased with increasing bone-tooth/bone-implant contact ratio. The high strain in the buccal bone plate linearly increased with decreasing buccal bone plate thickness. The results of this study revealed 3D full-field strain in bone-tooth and bone-implant constructs, as well as their several morphological influential factors.
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Affiliation(s)
- Yuxiao Zhou
- Department of Mechanical Engineering, Pennsylvania State University, University Park, PA, 16802, United States.
| | - Chujie Gong
- Department of Biomedical Engineering, Pennsylvania State University, University Park, PA, 16802, United States.
| | - Mehran Hossaini-Zadeh
- Department of Oral Maxillofacial Pathology, Medicine and Surgery, Temple University, Philadelphia, PA, 19140, United States.
| | - Jing Du
- Department of Mechanical Engineering, Pennsylvania State University, University Park, PA, 16802, United States.
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Rapagna S, Berahmani S, Wyers CE, van den Bergh JP, Reynolds KJ, Tozzi G, Janssen D, Perilli E. Quantification of human bone microarchitecture damage in press-fit femoral knee implantation using HR-pQCT and digital volume correlation. J Mech Behav Biomed Mater 2019; 97:278-287. [DOI: 10.1016/j.jmbbm.2019.04.054] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 04/04/2019] [Accepted: 04/28/2019] [Indexed: 11/27/2022]
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Comini F, Palanca M, Cristofolini L, Dall'Ara E. Uncertainties of synchrotron microCT-based digital volume correlation bone strain measurements under simulated deformation. J Biomech 2019; 86:232-237. [DOI: 10.1016/j.jbiomech.2019.01.041] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2018] [Revised: 12/18/2018] [Accepted: 01/22/2019] [Indexed: 10/27/2022]
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Tozzi G, Dall’Ara E, Palanca M, Curto M, Innocente F, Cristofolini L. Strain uncertainties from two digital volume correlation approaches in prophylactically augmented vertebrae: Local analysis on bone and cement-bone microstructures. J Mech Behav Biomed Mater 2017; 67:117-126. [DOI: 10.1016/j.jmbbm.2016.12.006] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2016] [Revised: 11/02/2016] [Accepted: 12/08/2016] [Indexed: 10/20/2022]
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Ren M, Liang J, Wei B. Accurate B-spline-based 3-D interpolation scheme for digital volume correlation. THE REVIEW OF SCIENTIFIC INSTRUMENTS 2016; 87:125114. [PMID: 28040954 DOI: 10.1063/1.4972814] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
An accurate and efficient 3-D interpolation scheme, based on sampling theorem and Fourier transform technique, is proposed to reduce the sub-voxel matching error caused by intensity interpolation bias in digital volume correlation. First, the influence factors of the interpolation bias are investigated theoretically using the transfer function of an interpolation filter (henceforth filter) in the Fourier domain. A law that the positional error of a filter can be expressed as a function of fractional position and wave number is found. Then, considering the above factors, an optimized B-spline-based recursive filter, combining B-spline transforms and least squares optimization method, is designed to virtually eliminate the interpolation bias in the process of sub-voxel matching. Besides, given each volumetric image containing different wave number ranges, a Gaussian weighting function is constructed to emphasize or suppress certain of wave number ranges based on the Fourier spectrum analysis. Finally, a novel software is developed and series of validation experiments were carried out to verify the proposed scheme. Experimental results show that the proposed scheme can reduce the interpolation bias to an acceptable level.
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Affiliation(s)
- Maodong Ren
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China
| | - Jin Liang
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China
| | - Bin Wei
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China
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Digital volume correlation can be used to estimate local strains in natural and augmented vertebrae: An organ-level study. J Biomech 2016; 49:3882-3890. [DOI: 10.1016/j.jbiomech.2016.10.018] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Revised: 09/28/2016] [Accepted: 10/16/2016] [Indexed: 11/17/2022]
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Leuridan S, Goossens Q, Pastrav L, Roosen J, Mulier M, Denis K, Desmet W, Sloten JV. Determination of replicate composite bone material properties using modal analysis. J Mech Behav Biomed Mater 2016; 66:12-18. [PMID: 27829191 DOI: 10.1016/j.jmbbm.2016.10.018] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Revised: 10/24/2016] [Accepted: 10/26/2016] [Indexed: 11/28/2022]
Abstract
Replicate composite bones are used extensively for in vitro testing of new orthopedic devices. Contrary to tests with cadaveric bone material, which inherently exhibits large variability, they offer a standardized alternative with limited variability. Accurate knowledge of the composite's material properties is important when interpreting in vitro test results and when using them in FE models of biomechanical constructs. The cortical bone analogue material properties of three different fourth-generation composite bone models were determined by updating FE bone models using experimental and numerical modal analyses results. The influence of the cortical bone analogue material model (isotropic or transversely isotropic) and the inter- and intra-specimen variability were assessed. Isotropic cortical bone analogue material models failed to represent the experimental behavior in a satisfactory way even after updating the elastic material constants. When transversely isotropic material models were used, the updating procedure resulted in a reduction of the longitudinal Young's modulus from 16.00GPa before updating to an average of 13.96 GPa after updating. The shear modulus was increased from 3.30GPa to an average value of 3.92GPa. The transverse Young's modulus was lowered from an initial value of 10.00GPa to 9.89GPa. Low inter- and intra-specimen variability was found.
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Affiliation(s)
- Steven Leuridan
- KU Leuven, Department of Mechanical Engineering, Biomechanics Section, Celestijnlaan 300C - box 2419, 3000 Leuven, Belgium.
| | - Quentin Goossens
- KU Leuven, Department of Mechanical Engineering, Biomechanics Section, Celestijnlaan 300C - box 2419, 3000 Leuven, Belgium; KU Leuven, Department of Mechanical Engineering Technology, Andreas Vesaliusstraat 13 - box 2600, 3000 Leuven, Belgium.
| | - Leonard Pastrav
- KU Leuven, Department of Mechanical Engineering Technology, Andreas Vesaliusstraat 13 - box 2600, 3000 Leuven, Belgium.
| | - Jorg Roosen
- University Hospitals Leuven, Department of Orthopedics, Weligerveld 1, 3212 Leuven, Belgium.
| | - Michiel Mulier
- University Hospitals Leuven, Department of Orthopedics, Weligerveld 1, 3212 Leuven, Belgium.
| | - Kathleen Denis
- KU Leuven, Department of Mechanical Engineering Technology, Andreas Vesaliusstraat 13 - box 2600, 3000 Leuven, Belgium.
| | - Wim Desmet
- KU Leuven, Department of Mechanical Engineering, Production Engineering, Machine Design and Automation Section, Celestijnlaan 300C - box 2420, 3000 Leuven, Belgium.
| | - Jos Vander Sloten
- KU Leuven, Department of Mechanical Engineering, Biomechanics Section, Celestijnlaan 300C - box 2419, 3000 Leuven, Belgium.
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Chen Y, Dall Ara E, Sales E, Manda K, Wallace R, Pankaj P, Viceconti M. Micro-CT based finite element models of cancellous bone predict accurately displacement once the boundary condition is well replicated: A validation study. J Mech Behav Biomed Mater 2016; 65:644-651. [PMID: 27741494 DOI: 10.1016/j.jmbbm.2016.09.014] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2015] [Revised: 07/13/2016] [Accepted: 09/09/2016] [Indexed: 11/30/2022]
Abstract
Non-destructive 3D micro-computed tomography (microCT) based finite element (microFE) models are used to estimate bone mechanical properties at tissue level. However, their validation remains challenging. Recent improvements in the quantification of displacements in bone tissue biopsies subjected to staged compression, using refined Digital Volume Correlation (DVC) techniques, now provide a full field displacement information accurate enough to be used for microFE validation. In this study, three specimens (two humans and one bovine) were tested with two different experimental set-ups, and the resulting data processed with the same DVC algorithm. The resulting displacement vector field was compared to that predicted by microFE models solved with three different boundary conditions (BC): nominal force resultant, nominal displacement resultant, distributed displacement. The first two conditions were obtained directly from the measurements provided by the experimental jigs, whereas in the third case the displacement field measured by the DVC in the top and bottom layer of the specimen was applied. Results show excellent relationship between the numerical predictions (x) and the experiments (y) when using BC derived from the DVC measurements (UX: y=1.07x-0.002, RMSE: 0.001mm; UY: y=1.03x-0.001, RMSE: 0.001mm; UZ: y=x+0.0002, RMSE: 0.001 mm for bovine specimen), whereas only poor correlation was found using BCs according to experiment set-ups. In conclusion, microFE models were found to predict accurately the vectorial displacement field using interpolated displacement boundary condition from DVC measurement.
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Affiliation(s)
- Yuan Chen
- Department of Mechanical Engineering and INSIGNEO Institute for in silico Medicine, University of Sheffield, UK
| | - Enrico Dall Ara
- Department of Human Metabolism and INSIGNEO Institute for in silico Medicine, University of Sheffield, UK
| | - Erika Sales
- Institute for Bioengineering, School of Engineering, The University of Edinburgh, UK
| | - Krishnagoud Manda
- Institute for Bioengineering, School of Engineering, The University of Edinburgh, UK
| | - Robert Wallace
- Department of Orthopaedics, The University of Edinburgh, UK
| | - Pankaj Pankaj
- Institute for Bioengineering, School of Engineering, The University of Edinburgh, UK
| | - Marco Viceconti
- Department of Mechanical Engineering and INSIGNEO Institute for in silico Medicine, University of Sheffield, UK.
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