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Introduction

Objective 1- Validation of Hip Joint FE models

·         Reconstruction of Pelvic Geometry from Volumetric CT Images. 

·         Determination of Cortical Thickness for the Pelvis. 

·         Errors in Estimation of Cortical Thickness using CT. 

·         Geometric Accuracy of Subject-specific FE Model of the Pelvis.

·         Subject-specific Modeling of the Mechanics of the Pelvis. 

·        Experimental Measurement and Finite Element Prediction of Cartilage Contact Stresses in the Hip.

Objective 2 – Patient-Specific FE Modeling of Acetabular Dysplasia (ongoing work)

·         Generation of Patient-specific Models of the Hip and Pelvis from Patient CT Data. 

References

Acknowledgements

 

 

Introduction

Improved methods for quantifying the stress distribution in and around the hip may improve implant designs, surgical approaches, diagnosis and treatment of disorders such as dysplasia, and provide the framework necessary for preoperative surgical planning.  It is difficult to assess the stress and strain distribution throughout the entire hip joint using simplified mathematical models, implanted prostheses, or via experiments with cadaveric tissue.  An alternative approach to analyze hip joint mechanics is the finite element (FE) method, which can accommodate large inter-subject variations in tissue geometry and material properties.  The potential benefit of patient-specific FE analysis becomes clear when one considers how difficult (if not impossible) it would be to assemble a population of donor tissue that exhibits a specific pathology such as pelvic dysplasia.  Although finite element (FE) models of the hip joint have been developed, validation by direct comparison with subject-specific experimental measurements of both bone strains and cartilage contact stress has not been performed.  Previous FE models of the hip joint have often used gross simplifications regarding tissue geometry and material properties. While it may be acceptable to model the hip joint with idealized geometry and material properties for some applications, it is absolutely crucial to use accurate inputs if the research objective is to study patient-specific biomechanics.  The overall objectives of this research study are to 1) develop and validate methods to generate patient-specific FE models of the human hip joint, and 2) analyze patient-specific FE models of acetabular dysplasia.

 

Objective 1- Validation of Hip Joint FE models

Reconstruction of Pelvic Geometry from Volumetric CT Images.  To evaluate our ability to reconstruct pelvic geometry from volumetric CT images, a volumetric CT scan of a cadaveric pelvis of a 68 y/o female was obtained.  The sacroiliac joint and all soft tissues, with the exception of articular cartilage, were removed.  A CT scan (512x512 acquisition matrix, FOV=225 mm, in-plane resolution=0.44x0.44 mm, slice thickness=0.6 mm, 354 slices) was obtained in a superior to inferior fashion using a Marconi-MX8000 scanner (Philips Medical Systems, Bothell, WA) (Figure 1, left panel).  A bone mineral density (BMD) phantom (BMD-UHA, Kyoto Kagaku Co., Kyoto, Japan), consisting of 21 rectangular blocks of urethane with varying concentrations of hydroxyapaptite (0 - 400 mg/cm3, 20 mg/cm3 increments) was also scanned with the same field of view and energy settings.             Contours for the outer cortex and the boundary of the cortical and trabecular bone were extracted from the CT data via manual segmentation.  Points comprising the contours were triangulated [28] to form a polygonal surface (Figure 1, middle panel), which was then decimated [29] and smoothed [30] to form the final surface using VTK (Kitware Inc., Clifton Park, NY) [31] (Figure 1, right panel).

 

Determination of Cortical Thickness for the Pelvis.  The deformation of the pelvis and femur can dramatically change the measured contact stresses in the hip [1].  Most of the load on the pelvis is borne by the cortical bone, so it is crucial to model the thickness of the pelvic cortex accurately. To this end, a novel algorithm was developed to automatically assign a spatially varying cortical shell thickness to the cortical shell elements based on the distances between the two polygonal surfaces.  The algorithm was tested using concentric spheres, boxes, and parallel planes with known thickness and varying mesh densities.  Weight factors were implemented to account for areas of high curvature (such as those at the edges of a box or around the acetabular rim).  The RMS thickness error for all test meshes was determined to be +/- 2%.  Patient-specific cortical bone thickness for a cadaver pelvis FE model is presented in Figure 2.

 

Errors in Estimation of Cortical Thickness using CT.  It is well known that CT overestimates the thickness of cortical bone [2].  However, the amount of error depends on the CT scanner and settings.  The errors in estimation of thickness from CT were assessed in a preliminary study.  A custom-built phantom was used to assess the accuracy of cortical thickness measurements (Figure 3, left panel) [37].  Ten aluminum tubes (wall thickness 0.127– 2.921 mm) were fit into a 70 mm dia. Lucite disc.  The centers of the aluminum tubes were filled with Lucite rods so that both the inner and outer surfaces of the tubes were surrounded by a soft tissue equivalent material [38,39].  Aluminum has x-ray attenuation coefficient that is similar to cortical bone [37].  The phantom was scanned with the same CT scanner field of view and energy settings above.  The z-axis of the scanner was aligned flush with the top edge of the tissue phantom to prevent volume averaging between successive slices. The inner and outer circumferences of the tubes were segmented from the CT image data using the technique described above.  The thickness algorithm was used to determine wall thickness.

            Thickness was measured accurately down to 0.7 mm thick with less than 10% error, which was consistent with the work of the others [3].  We are currently enhancing this algorithm to improve its accuracy even further by taking into account the CT signal attenuation that occurs for very thin structures (Figure 3, right panel).

 

Geometric Accuracy of Subject-specific FE Model of the Pelvis. Using the polygonal surface of Figure 1 we constructed a FE model consisting of 30,000 triangular shell elements for cortical bone and 210,000 tetrahedral solid elements for trabecular bone (Figure 4, middle panel).  Length measurements were obtained from the cadaveric pelvis with an electromagnetic digitizer (Immersion Corp, accuracy ±85 mm).  Measurements were based on identifiable anatomical features of the iliac wing, ischium, obturator foramen, pubis, and acetabulum (Figure 4, left panel).  Excellent agreement was observed between experimental measurements and the FE mesh dimensions, yielding a total error of less than 3% (Figure 4, right panel).


Subject-specific Modeling of the Mechanics of the Pelvis.  Deformation of the pelvis can have a dramatic influence on contact stresses at the hip (see, e.g., [1]).  To assess the ability of subject-specific FE models to predict cortical bone strains, a combined experimental/computational study was pursued.  The objectives of this study were to 1) develop and validate a FE model of the pelvis using subject-specific measurements of bone geometry as well as location-dependent cortical thickness and trabecular bone elastic modulus, and 2) assess the sensitivity of the subject-specific FE model by altering assumed and measured model inputs.

            Ten rosette strain gauges (Vishay Measurements Group, Raleigh, NC) were attached to a cadaveric hemi-pelvis at locations around the acetabulum, pubis, ischium, and ilium (Figure 5) to measure cortical bone strain during acetabular experimental loading [4].  A registration block and wires were attached to the iliac crest.  The block allowed for spatial registration of experimental and FE coordinate systems, while the wires served as a guide to reproduce the boundary conditions used in the experimental model [70].  The iliac crests were submerged in a mounting pan of quick-setting cement to the depth defined by the iliac guide wires.  Vertically orientated loads (0.25, 0.50, 0.75, and 1.0 BW) were applied to the acetabulum via a femoral prosthesis attached to a linear actuator, while strains were recorded continuously.

            The FE model was based on the mesh shown in Figure 4.  A 4-node, 24 degree of freedom tetrahedral element was used to represent trabecular bone [5] (3 translational and 3 rotational degrees of freedom at each node).  Cortical bone was represented with quadratic 3-node shell elements [6].  The elements were based on the Hughes-Liu shell [7,8], which has three translational and rotational degrees of freedom per node, with selective-reduced integration to suppress zero-energy modes [9].  Acetabular cartilage was modeled with the same type of shell elements.  Initial material properties for cortical bone and cartilage were taken from the literature, while relationships between CT scanner intensity and density (as determined using a calcium equivalent bone mineral phantom) were used to assign a density-dependent modulus to each element.  FE analyses were conducted using the implicit capabilities of LS-DYNA (Livermore Software Technology Corporation, Livermore, CA).  FE predictions of cortical principal strains were averaged over elements that corresponded to the location of each strain gauge.  Sensitivity studies were performed by altering model parameters of reported material properties as well as those estimated experimentally (cortical thickness and trabecular bone elastic modulus).

Text Box: Experimental Min/Max Principal Strain (mstrain)            The subject-specific FE model predictions of principal strains showed excellent correlation with experimental measurements, with a best-fit line that was not significantly different than the line y = x (Exp. strain = FE strain) (Figure 6, top).  Models representing changes to the trabecular bone elastic modulus did not alter strains considerably (Figure 6, middle).  In contrast, changes in cortex thickness and cortical bone elastic modulus had a substantial effect on cortical strains (Figure 6, bottom).  Changes to all other material parameters did not alter cortical strains significantly.  Using a sensitivity parameter it was determined that the pelvic FE mesh was 10 times more sensitive to changes in cortical bone thickness than changes to trabecular bone elastic modulus.  This finding illustrates the importance of including location dependent cortical bone thickness to ensure accurate estimates of patient-specific biomechanics.

 

Experimental Measurement and Finite Element Prediction of Cartilage Contact Stresses in the Hip. Both cartilage geometry and predictions of cartilage stresses play critical roles in overall hip joint biomechanics.  A preliminary study was conducted to demonstrate our ability to accurately predict cartilage contact stresses with the FE method.  All soft tissue with the exception of articular cartilage was removed from a 57 year-old male cadaveric pelvis and femur.  Kinematic blocks were attached to both bones for purposes of referencing load and boundary conditions.  The pelvis was loaded through the acetabulum as described above.  Super-low pressure sensitive film (range 0.4 - 3.0 MPa, Sensor Products Inc.) was cut into a rosette pattern [10] and placed on the femoral cartilage between layers of thin polyethylene wrap.  A 1 X BW load was applied to the pelvis over 1 second through a linear actuator with attached femur.  The loading protocol was repeated 3 times with a new sheet of pressure sensitive film for each test.  Anatomical points were digitized on the films to provide reference locations.  The film was calibrated immediately following experimental testing.

            A volumetric CT scan (0.6 mm slice thickness) was acquired.  The resulting images were segmented semi-automatically using Amira.  By replacing the manual segmentation described above with the semi-automatic segmentation, the time required for segmentation and mesh generation has been reduced from 2 weeks to less than 2 days!  The femur and pelvis were meshed with 24 degree of freedom tetrahedral elements (Figure 7).  Cortical bone was represented using quadratic 3-node shell elements [6-8] with position dependent thickness.  Cartilage was represented with hexahedral elements (Figure 7).  Frictionless contact was enforced between the cartilage while tied contact was enforced for the boundary between cartilage and cortical bone.  A position dependent trabecular bone modulus was assigned.

            The cartilage was represented as elastic, isotropic, and homogenous [11,12] with material coefficients taken from the literature [13].  Although cartilage is a biphasic material [14,15], the short-term response of a biphasic material to loading is equivalent to the response of an incompressible elastic material [11,16].  Contact stress measurements with pressure-sensitive film yield the total stress at the articular surface (fluid pressure + solid matrix elastic stress) at the instant of contact, which are equivalent to the contact stress from an incompressible elastic analysis [17].  A sensitivity study was conducted to explore the effects of bone deformation on cartilage contact stresses.

            The three sheets of pressure film appeared nearly identical to one another after each applied load.  Contact pressures ranged from 0 – 3 MPa (upper limit of film detection).  FE model predicted contact pressures were in excellent agreement with experimental results (range 0 – 5.5 MPa) (Figure 8).  There was only one small area of contact that was present in all of the experimental pressure film images, which did not occur in the FE model predictions.  It is likely that this area of contact was due a small bony protrusion that was not included in the FE model after smoothing.  When the bone was modeled as rigid, cartilage contact pressures reached a maximum of 7.9 MPa (43% higher than the original FE model).  Areas of cartilage contact for the rigid bone model were noticeably different than the model that assumed bones to be deformable.

 

Objective 2 – Patient-Specific FE Modeling of Acetabular Dysplasia (ongoing work)

Generation of Patient-specific Models of the Hip and Pelvis from Patient CT Data.  A volumetric CT scan of a 26 year old female patient with acetabular retroversion was acquired.  The outer cortex and the cortical/trabecular boundary of the pelvis and femur were segmented and meshed into a detailed FE model (Figure 9).

            A second normal subject was scanned with CT arthrography.  The subject’s hip joint was injected with contrast agent under fluoroscopic control.  Both the acetabular and femoral cartilage were easily distinguishable in the resulting CT images (Figure 10, top).  The cartilage layers were segmented and meshed with hexahedral elements while the femur and pelvis were automatically meshed with tetrahedral elements (Figure 10, bottom).  We now have IRB approval to perform CT arthrograms on both normal and dysplastic subjects, and have begun to recruit subjects for patient-specific FE modeling of acetabular dysplasia.


References

[1]           Bay, B. K., Hamel, A. J., Olson, S. A., and Sharkey, N. A., 1997, "Statically Equivalent Load and Support Conditions Produce Different Hip Joint Contact Pressures and Periacetabular Strains," J Biomech, 30, pp. 193-6.

[2]           Prevrhal, S., Engelke, K., and Kalender, W. A., 1999, "Accuracy Limits for the Determination of Cortical Width and Density: The Influence of Object Size and Ct Imaging Parameters," Phys Med Biol, 44, pp. 751-64.

[3]           Prevrhal, S., Fox, J. C., Shepherd, J. A., and Genant, H. K., 2003, "Accuracy of Ct-Based Thickness Measurement of Thin Structures: Modeling of Limited Spatial Resolution in All Three Dimensions," Med Phys, 30, pp. 1-8.

[4]           Dalstra, M., Huiskes, R., and van Erning, L., 1995, "Development and Validation of a Three-Dimensional Finite Element Model of the Pelvic Bone," J Biomech Eng, 117, pp. 272-8.

[5]           Pawlak, T. P. and Yunus, S. M., 1991, "Solid Elements with Rotational Degress of Freedom: Part Ii Tetrahedron Elements," International Journal for Numerical Methods in Engineering, 31, pp. 593-610.

[6]           Ahmad, S., 1970, "Analysis of Thick and Thin Shell Structures," International Journal for Numerical Methods in Engineering, 2, pp. 419-451.

[7]           Hughes, T. J. and Liu, W. K., 1981,"Nonliner Finite Element Analysis of Shells: Part I. Two Dimensional Shells.," in Compuational Methods in Applied Mechanics, vol. 27,  pp. 167-181.

[8]           Hughes, T. J. and Liu, W. K., 1981,"Nonlinear Finite Element Analysis of Shells: Part Ii. Three Dimensional Shells.," in Computational Methods in Applied Mechanics, vol. 27,  pp. 331-362.

[9]           Hughes, T. J., 1980,"Generalization of Selective Integration Procedures to Anisotopic and Nonlinear Media," in Interational Journal for Numerical Methods in Engineering, vol. 15,  pp. 9.

[10]         von Eisenhart-Rothe, R., Eckstein, F., Muller-Gerbl, M., Landgraf, J., Rock, C., and Putz, R., 1997, "Direct Comparison of Contact Areas, Contact Stress and Subchondral Mineralization in Human Hip Joint Specimens," Anat Embryol (Berl), 195, pp. 279-88.

[11]         Armstrong, C. G., Lai, W. M., and Mow, V. C., 1984, "An Analysis of the Unconfined Compression of Articular Cartilage," J Biomech Eng, 106, pp. 165-73.

[12]         Eberhardt, A. W., Keer, L. M., Lewis, J. L., and Vithoontien, V., 1990, "An Analytical Model of Joint Contact," J Biomech Eng, 112, pp. 407-13.

[13]         Shepherd, D. E. and Seedhom, B. B., 1999, "The 'Instantaneous' Compressive Modulus of Human Articular Cartilage in Joints of the Lower Limb," Rheumatology (Oxford), 38, pp. 124-32.

[14]         Mow, V. C. and Lai, W. M., 1980, "Recent Developments in Synovial Joint Biomechanics," Soc Ind. Appl. Math. Rev, 22, pp. 275-317.

[15]         Mow, V. C., Kuei, S. C., Lai, W. M., and Armstrong, C. G., 1980, "Biphasic Creep and Stress Relaxation of Articular Cartilage in Compression? Theory and Experiments," J Biomech Eng, 102, pp. 73-84.

[16]         Mak, A. F., Lai, W. M., and Mow, V. C., 1987, "Biphasic Indentation of Articular Cartilage--I. Theoretical Analysis," J Biomech, 20, pp. 703-14.

[17]         Ateshian, G. A., Lai, W. M., Zhu, W. B., and Mow, V. C., 1994, "An Asymptotic Solution for the Contact of Two Biphasic Cartilage Layers," J Biomech, 27, pp. 1347-60.

 

Acknowledgements

Financial support from the University of Utah Seed Grant, Department of Orthopedics, and the Orthopedic Research and Education Foundation are gratefully acknowledged.

 

 


ABSTRACTS

 

Anderson AE, Peters CL, Tuttle BD, Weiss JA:  Development and validation of a finite element model of the pelvis.  Proceedings, 2003 ASME International Mechanical Engineering Congress & Exposition, Washington, D.C.  November 16-21, 2003.  IMECE2003-43134.

 

Anderson AE, Peters CL, Tuttle BD, Weiss JA:  Development and validation of a subject-specific finite element model of the pelvis: Assessment of model sensitivity.  Proceedings, 6th Symposium on Computer Methods in Biomechanics and Biomedical Engineering.  Madrid, Spain.  February 25-28, 2004, 6 pages.

 

Anderson AE, Peters CL, Tuttle BD, Weiss JA:  A subject-specific finite element model of the pelvis can accurately predict cortical bone strains under acetabular loading.  50th Annual Orthopaedic Research Society Meeting.  San Francisco, CA.  March 7-10, 2004.  Poster #1334.

 

Anderson AE, Peters CL, Ellis BJ, Balling SJ, Weiss, JA: Validation of bone strains and cartilage contact stress in a 3-D finite element model of the human hip.  Proceedings, 2005 ASME Summer Bioengineering Conference. Vail, CO. June 22 - 26, 2005.

 

 

POSTER

 

ORS ’04 Poster- A subject-specific finite element model of the pelvis can accurately predict cortical bone strains under acetabular loading (X MB PDF)

 

 

ORIGINAL RESEARCH ARTICLE

 

Anderson AE, Peters CL, Tuttle BD, Weiss JA:  A Subject-Specific Finite Element Model of the Pelvis: Development, Validation, and Sensitivity Studies.  ASME Journal of Biomechanical Engineering.  To Appear: June 2005.

 

 

 

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Created by Janna Balling j.balling@utah.edu

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