Online citations, reference lists, and bibliographies.

Validation Of Subject-specific Automated P-FE Analysis Of The Proximal Femur.

N. Trabelsi, Z. Yosibash, C. Milgrom
Published 2009 · Engineering, Medicine

Cite This
Download PDF
Analyze on Scholarcy
Share
BACKGROUND The use of subject-specific finite element (FE) models in clinical practice requires a high level of automation and validation. In Yosibash et al. [2007a. Reliable simulations of the human proximal femur by high-order finite element analysis validated by experimental observations. J. Biomechanics 40, 3688-3699] a novel method for generating high-order finite element (p-FE) models from CT scans was presented and validated by experimental observations on two fresh frozen femurs (harvested from a 30 year old male and 21 year old female). Herein, we substantiate the validation process by enlarging the experimental database (54 year old female femur), improving the method and examine its robustness under different CT scan conditions. APPROACH A fresh frozen femur of a 54 year old female was scanned under two different environments: in air and immersed in water (dry and wet CT). Thereafter, the proximal femur was quasi-statically loaded in vitro by a 1000N load. The two QCT scans were manipulated to generate p-FE models that mimic the experimental conditions. We compared p-FE displacements and strains of the wet CT model to the dry CT model and to the experimental results. In addition, the material assignment strategy was reinvestigated. The inhomogeneous Young's modulus was represented in the FE model using two different methods, directly extracted from the CT data and using continuous spatial functions as in Yosibash et al. [2007a. Reliable simulations of the human proximal femur by high-order finite element analysis validated by experimental observations. J. Biomechanics 40, 3688-3699]. RESULTS Excellent agreement between dry and wet FE models was found for both displacements and strains, i.e. the method is insensitive to CT conditions and may be used in vivo. Good agreement was also found between FE results and experimental observations. The spatial functions representing Young's modulus are local and do not influence strains and displacements prediction. Finally, the p-FE results of all three fresh frozen human femurs compare very well to experimental observations exemplifying that the presented method may be in a mature stage to be used in clinical computer-aided decision making.
This paper references
Journal of Biomechanics
N Trabelsi (2009)
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)
10.1097/00004728-199001000-00020
Mechanical properties of trabecular bone from the proximal femur: a quantitative CT study.
J. C. Lotz (1990)
10.1016/0141-5425(90)90022-F
Automated three-dimensional finite element modelling of bone: a new method.
J. Keyak (1990)
10.1114/1.278
Short Term In Vivo Precision of Proximal Femoral Finite Element Modeling
Dianna D. Cody (2004)
10.1016/S0021-9290(00)00069-5
Critical evaluation of known bone material properties to realize anisotropic FE-simulation of the proximal femur.
D. Wirtz (2000)
Artifacts in X-ray CT. Research Imaging Center
Q Luo (2003)
10.2106/00004623-197759070-00021
The compressive behavior of bone as a two-phase porous structure.
D. Carter (1977)
10.1016/J.JBIOMECH.2006.08.003
Prediction of strength and strain of the proximal femur by a CT-based finite element method.
M. Bessho (2007)
10.1115/1.2720906
A CT-based high-order finite element analysis of the human proximal femur compared to in-vitro experiments.
Z. Yosibash (2007)
10.1016/S0021-9290(99)00099-8
Femoral strength is better predicted by finite element models than QCT and DXA.
D. Cody (1999)
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.MEDENGPHY.2006.10.002
Comparison of isotropic and orthotropic material property assignments on femoral finite element models under two loading conditions.
V. Báča (2007)
Article in Press
William Godwin (2000)
Short term in vivo study of proximal femoral finite element modeling
D D Cody (2000)
10.1016/J.MEDENGPHY.2006.10.014
The material mapping strategy influences the accuracy of CT-based finite element models of bones: an evaluation against experimental measurements.
F. Taddei (2007)
Artifacts in X-ray CT. Research Imaging Center, University of Texas Health Science Center, TX 78229
Q. Luo (2003)
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/J.JBIOMECH.2007.02.010
Subject-specific finite element models can accurately predict strain levels in long bones.
E. Schileo (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)



This paper is referenced by
10.3929/ETHZ-A-007578269
Towards a biomechanical understanding of implant stability using functional bioimaging and computational modeling
S. E. Basler (2012)
10.3109/17453674.2012.678804
Experimental evaluation of new concepts in hip arthroplasty
T. Wik (2012)
10.1111/STR.12029
Patient-Specific Finite Element Modelling and Validation of Porcine Femora in Torsion
Nicholas J. Emerson (2013)
10.1007/s11517-015-1254-2
QCT-based failure analysis of proximal femurs under various loading orientations
Majid Mirzaei (2015)
10.18926/AMO/53523
Dynamic Finite Element Analysis of Impulsive Stress Waves Propagating from the Greater Trochanter of the Femur by a Sideways Fall.
Takaaki Sarai (2015)
10.1007/978-3-319-59548-1_17
Personalized Orthopedic Trauma Surgery by Applied Clinical Mechanics
Michael Roland (2018)
10.1007/S12668-018-0560-1
An Anisotropic Analysis of Human Femur Bone with Walking Posture: Experimental and Numerical Analysis
Ritu Painkra (2018)
10.1016/j.jbiomech.2011.10.019
Accuracy of finite element predictions in sideways load configurations for the proximal human femur.
L. Grassi (2012)
10.1016/j.medengphy.2015.05.006
Comparisons of node-based and element-based approaches of assigning bone material properties onto subject-specific finite element models.
Guoliang Chen (2015)
10.1186/s12938-017-0407-y
Study of the variations of fall induced hip fracture risk between right and left femurs using CT-based FEA
Tanvir R. Faisal (2017)
10.1007/978-81-322-0970-6_5
Three-Dimensional Finite Element Analysis of Human Femur: A Comparative Study
Amrita Francis (2013)
The p- and B-spline versions of the geometrically nonlinear finite cell method and hierarchical refinement strategies for adaptive isogeometric and embedded domain analysis
D. Schillinger (2012)
10.1016/J.CMA.2012.09.006
p-FEMs in biomechanics: Bones and arteries
Zohar Yosibash (2012)
10.7712/100016.2280.7408
FE BONE STRUCTURAL ANALYSIS WITH CT MAPPING OF INHOMOGENEOUS MATERIAL PROPERTIES
Miguel Tobias Bahia (2016)
10.1177/0954411913482267
Total hip arthroplasty by using a cementless ultrashort stem: A subject-specific finite element analysis for a young patient clinical case
Gabriella Epasto (2013)
10.1016/j.jbiomech.2011.03.024
Patient-specific finite element analysis of the human femur--a double-blinded biomechanical validation.
Nir Trabelsi (2011)
10.1007/s00113-011-2099-2
Die Stabilität von distalen Radiusfrakturen mit volaren winkelstabilen Plattenosteosynthesen
Stephan Mair (2011)
10.1007/S00466-012-0684-Z
Small and large deformation analysis with the p- and B-spline versions of the Finite Cell Method
D. Schillinger (2012)
10.1615/INTJMULTCOMPENG.V6.I5.70
Subject-Specific p-FE Analysis of the Proximal Femur Utilizing Micromechanics-Based Material Properties
Z. Yosibash (2008)
10.1177/0309364611420478
Analysis of bone demineralization due to the use of exoprosthesis by comparing Young’s Modulus of the femur in unilateral transfemoral amputees
Juan Fernando Ramírez (2011)
10.1002/PAMM.201110050
Application of the Finite Cell Method to patient-specific femur simulations
Martin Ruess (2011)
10.1007/s11517-012-0986-5
A quasi-brittle continuum damage finite element model of the human proximal femur based on element deletion
Ridha Hambli (2012)
10.1243/09544119JEIM825
Experimental versus Computational Analysis of Micromotions at the Implant—Bone Interface
Maria Tarala (2011)
10.1002/cnm.2880
Phase-field boundary conditions for the voxel finite cell method: Surface-free stress analysis of CT-based bone structures.
Lam Ho Nguyen (2017)
10.1016/j.jbiomech.2015.08.015
Generic finite element models of orthodontic mini-implants: Are they reliable?
Mhd Hassan Albogha (2015)
10.1007/S10483-014-1799-8
Effective numerical approach with complete damage transfer under multi-step loading
Shiyang Zhao (2014)
10.1016/j.medengphy.2018.03.004
A patient specific finite element simulation of intramedullary nailing to predict the displacement of the distal locking hole.
J. Mortazavi (2018)
10.1007/8415_2011_89
Reliable Patient-Specific Simulations of the Femur
Zohar Yosibash (2011)
10.1177/0954406219856028
Analysis and validation of femur bone data using finite element method under static load condition
S. Mathukumar (2019)
A Spectral Element Method for Fluid-Structure Interaction : New Algorithm and Applications to Intracranial Aneurysms
Hyoungsu Baek (2010)
10.1016/j.jbiomech.2009.10.040
A new approach for assigning bone material properties from CT images into finite element models.
G. Chen (2010)
10.7916/D8FX79N8
Advances in Multiscale Methods with Applications in Optimization, Uncertainty Quantification and Biomechanics
Nan Hu (2016)
See more
Semantic Scholar Logo Some data provided by SemanticScholar