A NURBS-based technique for subject-specific construction of knee bone geometry

Au, Anthony G.; Palathinkal, Darren M.; Liggins, A.B.; Raso, V.J.; Carey, Jason P.; Lambert, Robert G.; Amirfazli, Alidad

doi:10.1016/j.cmpb.2008.05.009

Cited by 18 publications

(16 citation statements)

References 30 publications

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“…Rather than explicitly model cortical bone from CAD, the authors developed cortical bone within their finite element model as shells with prescribed thicknesses. Au et al developed CAD of the knee joint by automatically prescribing contours to the inner and outer surfaces of cortical bone (Au et al 2008). These were done on a series of images smoothed using Gaussian operators and identified using gradient-based edge detection.…”

Section: Resultsmentioning

confidence: 99%

“…The periosteal and endosteal surfaces of each bone were identified using by selecting pixels exceeding 226 Hounsfield Units (HU) within a commercial image processing software package (Mimics v. 15.0,Materialise,Leuven,Belgium). Prior to thresholding, an attenuation histogram was observed to verify starting Hounsfield units (Au et al 2008;Sinha 2009). The range of values for thresholding was based on values recommended for adult cortical bone from Mimics and also based on line thresholding.…”

Section: Methodsmentioning

confidence: 99%

“…Many research studies have used CT to determine the cortical thickness of bones (Anderson et al 2005;Au et al 2008;Louis et al 1995;Newman et al 1998;Prevrhal et al 1999;Prevrhal et al 2003;Rizzo et al 2011;Treece et al 2010;Viceconti et al 1998), primarily for the purpose of developing computer aided design (CAD) representations and FEMs of these structures (Anderson et al 2005;Au et al 2008;Keyak et al 1990;Viceconti et al 1998). However, it has been shown in both computational (Dougherty and Newman 1999) and experimental studies (Newman et al 1998;Prevrhal et al 1999;Prevrhal et al 2003) that the limit thickness where the compact bone can be accurately identified falls between 1.5 and two times the full width at half maximum (FWHM) of the point spread function (PSF) of the scanner.…”

Section: Introductionmentioning

confidence: 99%

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Development and Full Body Validation of a 5th Percentile Female Finite Element Model

Davis

Koya

Schap

et al. 2016

SAE Technical Paper Series

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Development and Full Body Validation of a 5th Percentile Female Finite Element Model

Davis

Koya

Schap

et al. 2016

SAE Technical Paper Series

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“…All five ligaments (lateral collateral ligament (LCL), posterior cruciate ligament, ligament tibial, medial collateral ligament (MCL), and patella ligament) were defined as a homogeneous linearly isotropic elastic material with E = 6 MPa and υ = 0.33 [9][10][11][12][13][14][15].…”

Section: Finite Element (Fe) Model Of the Intact Knee Joint (Intact Mmentioning

confidence: 99%

Numerical Study of the Effect of Elastomer and Cement of Stress Absorbers on the Reduction of Stresses in Tibia and Tibial Bone Analysed by Finite Element Method

Mestar¹,

Zahaf²,

Zina³

et al. 2018

Nano BioMed ENG

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Metal alloys have been the materials of choice since the start of orthopaedic surgery. Orthopedic materials must fulfill the mechanical, biological and physical necessities of their proposed utilization. Knee joint is the most complex joint in human body, which gets the discriminating loads in different moving conditions. Accordingly, the material utilized for knee implant is assumed the exceptionally essential part for long survival of knee prosthesis. The materials that are utilized as biomaterials incorporate polymers, metals, ceramics and composites. Out of those materials, cobalt-chromium alloys, titanium alloys, stainless steel and ultra high molecular weight polyethylene are the most usually utilized biomaterials for knee implants. The objective of this paper is to prepare three models of prosthesis knee joint from available literature and study on the distribution of von Mises stresses and strains in different components of knee prosthesis. It is known that the total displacement between the intact model and the artificial model of knee, 3D modeling software Solidworks 2016 is used for 3D modeling of knee prosthesis, and that finite element analysis software ANSYS 16.2 was used for numerical estimation of von Mises stresses and strains. We found in this study that the maximum von Mises stresses and strains at the level of the tibial and tibial bone decreased, that is to say, the cement and the elastomer played a very important role in the absorption of the stresses and their minimization. On the other hand, the four knee prostheses (model I (Ti6Al4V), model II (CoCrMo), model III (316L SS), model IV (ZrO 2 )) implanted by elastomer contributed significantly to the reduction of stresses in the patella bone compared to the intact model. In general, both models of the knee prosthesis and those reinforced by a stress reduction system (cement or elastomer) gave a lower stress level in the tibia and tibial bone of a normal person compared to a healthy model. The results obtained provide a theoretical basis for choosing an appropriate surgical model.

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“…Thicknesses were estimated using 50% of the full width of a profile line through the bone. 4 These thickness values were utilized to offset the periosteal surface inward (opposite direction of the surface normal) to create a separate surface describing the interior cortical layer. The resulting exterior and interior layers were then manually refined against the original CT images.…”

Section: Bonementioning

confidence: 99%

Development of a Full Body CAD Dataset for Computational Modeling: A Multi-modality Approach

et al. 2011

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The objective of this study was to develop full body CAD geometry of a seated 50th percentile male. Model development was based on medical image data acquired for this study, in conjunction with extensive data from the open literature. An individual (height, 174.9 cm, weight, 78.6 ± 0.77 kg, and age 26 years) was enrolled in the study for a period of 4 months. 72 scans across three imaging modalities (CT, MRI, and upright MRI) were collected. The whole-body dataset contains 15,622 images. Over 300 individual components representing human anatomy were generated through segmentation. While the enrolled individual served as a template, segmented data were verified against, or augmented with, data from over 75 literature sources on the average morphology of the human body. Non-Uniform Rational B-Spline (NURBS) surfaces with tangential (G1) continuity were constructed over all the segmented data. The sagittally symmetric model consists of 418 individual components representing bones, muscles, organs, blood vessels, ligaments, tendons, cartilaginous structures, and skin. Length, surface area, and volumes of components germane to crash injury prediction are presented. The total volume (75.7 × 103 cm(3)) and surface area (1.86 × 102 cm(2)) of the model closely agree with the literature data. The geometry is intended for subsequent use in nonlinear dynamics solvers, and serves as the foundation of a global effort to develop the next-generation computational human body model for injury prediction and prevention.

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A NURBS-based technique for subject-specific construction of knee bone geometry

Cited by 18 publications

References 30 publications

Development and Full Body Validation of a 5th Percentile Female Finite Element Model

Development and Full Body Validation of a 5th Percentile Female Finite Element Model

Numerical Study of the Effect of Elastomer and Cement of Stress Absorbers on the Reduction of Stresses in Tibia and Tibial Bone Analysed by Finite Element Method

Development of a Full Body CAD Dataset for Computational Modeling: A Multi-modality Approach

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