Online citations, reference lists, and bibliographies.

An Investigation To Determine If A Single Validated Density-elasticity Relationship Can Be Used For Subject Specific Finite Element Analyses Of Human Long Bones.

S. Eberle, M. Goettlinger, P. Augat
Published 2013 · Engineering, Medicine

Cite This
Download PDF
Analyze on Scholarcy
Share
Subject-specific FE-models of human long bones have to predict mechanical parameters with sufficient accuracy to be applicable in a clinical setting. One of the main aspects in subject-specific FE-models of bones regarding accuracy is the modeling of the material inhomogeneity. The goal of this study was therefore to develop FE-models of human femurs and investigate if a single validated density-elasticity relationship can be used for subject specific finite element analyses of human long bones, when the task is to predict the bone's mechanical response to load. To this aim, 23 human cadaver femurs were tested in axial compression with a load of 1000 N. Strains, local displacements, and axial bone stiffness were determined. Subject-specific FE-models were developed for each bone based on quantitative CT-scans. Three different density-elasticity relationships were retrieved from the literature, and were implemented in the FE-models. The predicted mechanical values depended largely on the used equation. The most reasonable equation showed a mean error of -11% in strain prediction, a mean error of -23% in local displacement prediction, and a mean error of +23% in axial stiffness prediction. The scatter of the predictions was very low in all three categories of measurements with a 1.96 standard deviation of about 30% to the mean errors. In conclusion, a framework for subject-specific FE-models was developed that was able to predict surface strains and bone deformation with good accuracy by using a single density-elasticity relationship. However, it was also found that the most appropriate density-elasticity relationship was specimen-specific.
This paper references
10.1016/J.CLINBIOMECH.2007.08.024
Mathematical relationships between bone density and mechanical properties: a literature review.
B. Helgason (2008)
10.1016/J.JBIOMECH.2005.07.018
Subject-specific finite element models of long bones: An in vitro evaluation of the overall accuracy.
F. Taddei (2006)
10.1016/j.jbiomech.2012.02.006
Prediction of the mechanical response of the femur with uncertain elastic properties.
Hagen Wille (2012)
10.1016/j.jbiomech.2011.03.024
Patient-specific finite element analysis of the human femur--a double-blinded biomechanical validation.
Nir Trabelsi (2011)
10.1002/jor.1100090315
Estimation of mechanical properties of cortical bone by computed tomography.
S. Snyder (1991)
10.1016/J.JBIOMECH.2006.09.018
Apparent Young's modulus of human radius using inverse finite-element method.
M. Bosisio (2007)
10.1016/j.medengphy.2011.07.016
Finite element prediction of surface strain and fracture strength at the distal radius.
W. B. Edwards (2012)
10.1016/j.compbiomed.2010.02.011
A new method to evaluate the elastic modulus of cortical bone by using a combined computed tomography and finite element approach
H. Huang (2010)
10.1016/J.JBIOMECH.2007.09.009
Subject-specific finite element models implementing a maximum principal strain criterion are able to estimate failure risk and fracture location on human femurs tested in vitro.
E. Schileo (2008)
10.1016/J.JBIOMECH.2007.02.010
Subject-specific finite element models can accurately predict strain levels in long bones.
E. Schileo (2007)
10.1016/J.MEDENGPHY.2007.05.006
A modified method for assigning material properties to FE models of bones.
B. Helgason (2008)
10.1016/j.jbiomech.2008.08.017
The effect of the density-modulus relationship selected to apply material properties in a finite element model of long bone.
R. Austman (2008)
10.1002/jor.21360
Bone stresses before and after insertion of two commercially available distal ulnar implants using finite element analysis.
Rebecca L. Austman (2011)
10.1016/j.medengphy.2010.10.002
Effects of CT image segmentation methods on the accuracy of long bone 3D reconstructions.
Kanchana Rathnayaka (2011)
10.1504/IJECB.2009.029190
Subject-specific finite element model of knee: experimental validation using composite and bovine specimens
Jena L. Dressler (2009)
10.1016/S1350-4533(03)00081-X
Comparison of in situ and in vitro CT scan-based finite element model predictions of proximal femoral fracture load.
J. Keyak (2003)
10.1016/0021-9290(94)90056-6
Predicting the compressive mechanical behavior of bone.
T. Keller (1994)
10.1016/s0140-6736(65)91037-8
AKUFO AND IBARAPA.
A. H. Beckett (1965)
10.1243/09544119JEIM553
Development of a customized density—modulus relationship for use in subject-specific finite element models of the ulna
Rebecca L. Austman (2009)
10.1243/09544119JEIM649
Validation of computational models in biomechanics
H. Henninger (2010)
10.1016/J.MEDENGPHY.2005.06.003
Comparison of isotropic and orthotropic material property assignments on femoral finite element models under two loading conditions.
L. Peng (2006)
10.1016/j.cmpb.2008.05.009
A NURBS-based technique for subject-specific construction of knee bone geometry
A. Au (2008)
10.1016/j.jbiomech.2008.05.017
An accurate estimation of bone density improves the accuracy of subject-specific finite element models.
E. Schileo (2008)
10.1016/j.jmbbm.2011.02.006
Compressive mechanical properties of demineralized and deproteinized cancellous bone.
P. Chen (2011)
10.1016/j.jbiomech.2009.09.051
A finite element inverse analysis to assess functional improvement during the fracture healing process.
Jared A. Weis (2010)
10.1002/jor.1100120610
Estimation of material properties in the equine metacarpus with use of quantitative computed tomography.
C. Les (1994)
10.1016/J.JBIOMECH.2006.10.038
Physiologically based boundary conditions in finite element modelling.
A. Speirs (2007)
10.1016/j.medengphy.2010.09.018
In situ parameter identification of optimal density-elastic modulus relationships in subject-specific finite element models of the proximal femur.
A. Cong (2011)
10.1002/SIM.3086
Why Bland-Altman plots should use X, not (Y+X)/2 when X is a reference method.
J. Krouwer (2008)
10.1007/BF01623175
Cross-calibration of liquid and solid QCT calibration standards: Corrections to the UCSF normative data
K. Faulkner (2005)
10.1016/j.cmpb.2009.11.009
Representation of bone heterogeneity in subject-specific finite element models for knee
Anthony G. Au (2010)
10.1080/10255840601160484
Verification, validation and sensitivity studies in computational biomechanics
A. Anderson (2007)
10.1016/J.JBIOMECH.2007.06.017
Reliable simulations of the human proximal femur by high-order finite element analysis validated by experimental observations.
Z. Yosibash (2007)
10.1016/S0140-6736(86)90837-8
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
J. Bland (1986)
10.1016/j.medengphy.2007.12.009
Comparison of an inhomogeneous orthotropic and isotropic material models used for FE analyses.
V. Báča (2008)
10.1098/rsta.2010.0041
Multiscale modelling and nonlinear finite element analysis as clinical tools for the assessment of fracture risk
D. Christen (2010)
10.1002/(SICI)1097-4636(199905)45:2<108::AID-JBM5>3.0.CO;2-A
The role of collagen in the declining mechanical properties of aging human cortical bone.
Peter Zioupos (1999)
10.1016/S0021-9290(03)00071-X
Trabecular bone modulus-density relationships depend on anatomic site.
E. Morgan (2003)
10.1109/TBME.2006.879473
Finite-Element Modeling of Bones From CT Data: Sensitivity to Geometry and Material Uncertainties
F. Taddei (2006)



This paper is referenced by
10.1038/s41598-019-43028-6
Neuro-musculoskeletal flexible multibody simulation yields a framework for efficient bone failure risk assessment
Andreas Geier (2019)
10.3390/ma13010106
Patient-Specific Bone Multiscale Modelling, Fracture Simulation and Risk Analysis—A Survey
Amadeus C S de Alcântara (2019)
10.1098/rsif.2013.1146
Effects of densitometry, material mapping and load estimation uncertainties on the accuracy of patient-specific finite-element models of the scapula
G. Campoli (2014)
ADDRESSING PARTIAL VOLUME ARTIFACTS WITH QUANTITATIVE COMPUTED TOMOGRAPHY-BASED FINITE ELEMENT MODELING OF THE HUMAN PROXIMAL TIBIA
Hosseini Kalajahi (2018)
10.1016/j.jor.2015.01.009
3D patient-specific model of the tibia from CT for orthopedic use.
R. A. González-Carbonell (2015)
10.1016/j.medengphy.2016.03.006
The influence of the modulus-density relationship and the material mapping method on the simulated mechanical response of the proximal femur in side-ways fall loading configuration.
B. Helgason (2016)
10.1080/10255842.2019.1661386
Separate modeling of cortical and trabecular bone offers little improvement in FE predictions of local structural stiffness at the proximal tibia
S Mehrdad Hosseini Kalajahi (2019)
10.1016/j.medengphy.2015.05.011
Individual and combined effects of OA-related subchondral bone alterations on proximal tibial surface stiffness: a parametric finite element modeling study.
Morteza Amini (2015)
10.1016/j.jbiomech.2013.07.045
Validation of density-elasticity relationships for finite element modeling of human pelvic bone by modal analysis.
Roger Scholz (2013)
10.1007/S40846-017-0323-4
The Influence of Bone Modulus-density Relationships on Two-dimensional Human Proximal Femur Remodeling Results
Wen-ting Yang (2018)
10.1016/j.jbiomech.2014.11.042
Comparison of explicit finite element and mechanical simulation of the proximal femur during dynamic drop-tower testing.
O. Ariza (2015)
10.1016/j.jocd.2019.02.005
Liquid Calibration Phantoms in Ultra-Low-Dose QCT for the Assessment of Bone Mineral Density.
Malakeh Malekzadeh (2019)
Functional Design and Analysis of a Linked Shoulder Prosthesis
Emily West (2017)
10.1016/j.jbiomech.2013.06.035
Individual density-elasticity relationships improve accuracy of subject-specific finite element models of human femurs.
Sebastian Eberle (2013)
10.1177/0954411919856138
Stability of femoral neck fracture fixation: A finite element analysis
Shabnam Samsami (2019)
Biomechanical analysis of fracture risk associated with tibia deformity in children with osteogenesis imperfecta: a finite element analysis.
C. Caouette (2014)
10.1016/B978-0-12-804634-0.00001-X
1 – General Concepts
Amirhossein Goharian (2017)
Development of a computational approach to assess hip fracture and repair: Considerations of intersubject and surgical alignment variability
A. Ali (2013)
10.1016/j.jbiomech.2013.10.033
Specimen-specific modeling of hip fracture pattern and repair.
Azhar A. Ali (2014)
10.1098/rsif.2014.0186
Comparative finite-element analysis: a single computational modelling method can estimate the mechanical properties of porcine and human vertebrae
Kate A Robson Brown (2014)
10.1016/j.jbiomech.2018.04.042
Strain rate dependency of bovine trabecular bone under impact loading at sideways fall velocity.
William S Enns-Bray (2018)
10.1007/s11914-016-0335-y
Finite Element-Based Mechanical Assessment of Bone Quality on the Basis of In Vivo Images
Dieter H Pahr (2016)
10.1016/j.medengphy.2015.10.002
Selecting boundary conditions in physiological strain analysis of the femur: Balanced loads, inertia relief method and follower load.
Mark Heyland (2015)
10.1016/j.jmbbm.2018.10.013
Development of a validated glenoid trabecular density-modulus relationship.
N. Knowles (2019)
Understanding the Development of Cam-Type Deformity by FE Analysis of the Immature Proximal Femur
P. Roels (2013)
10.1115/1.4040122
Methods for Post Hoc Quantitative Computed Tomography Bone Density Calibration: Phantom-Only and Regression.
J. Reeves (2018)
10.1016/j.medengphy.2018.10.007
Stochastic analysis of a heterogeneous micro-finite element model of a mouse tibia.
Yongtao Lu (2019)
10.1080/10255842.2019.1615481
A round-robin finite element analysis of human femur mechanics between seven participating laboratories with experimental validation
D. Kluess (2019)
10.1016/j.medengphy.2019.02.002
Combining ultrasonic and computed tomography scanning to characterize mechanical properties of cancellous bone in necrotic human femoral heads.
Yue Yue (2019)
10.1177/0391398818815479
Patient-specific design process and evaluation of a hip prosthesis femoral stem
Osama Abdelaal (2019)
10.1007/978-3-319-21296-8_15
In-silico models of trabecular bone: a sensitivity analysis perspective
Marlène Mengoni (2016)
Consideraciones en la definición del modelo específico al paciente de la tibia
R. A. G. Carbonell (2015)
See more
Semantic Scholar Logo Some data provided by SemanticScholar