Methodology and sensitivity studies for finite element modeling of the inferior glenohumeral ligament complex

Ellis, Benjamin J.; Debski, Richard E.; Moore, Susan; McMahon, Patrick J.; Weiss, Jeffrey A.

doi:10.1016/j.jbiomech.2006.01.024

Cited by 44 publications

(48 citation statements)

References 47 publications

(74 reference statements)

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“…3 Modeling the humeral cartilage as a rigid structure is also a modeling assumption; however, this approach has been used by a number of other finite element models modeling soft tissues. 2,8 This was done for a number of reasons: (1) this approach has been shown to be acceptable under moderate loading conditions 8 and is supported by the work of Ellis et al 18 ;…”

Section: Discussionmentioning

confidence: 98%

Development and Validation of a Finite Element Model of the Superior Glenoid Labrum

et al. 2010

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Pathology of the superior glenoid labrum is a common source of musculoskeletal pain and disability. One of the proposed mechanisms of injury to the labrum is superior humeral head migration, which can be seen with rotator cuff insufficiency. Due to the size, anatomical location, and complex composition of the labrum, laboratory experiments have many methodological difficulties. The purpose of this study was to develop and validate a finite element model of the glenoid labrum. The model developed includes the glenoid labrum, glenoid cartilage, glenoid bone, and the humeral head cartilage. Labral displacements derived from the finite element model were compared to those measured during a controlled validation experiment simulating superior humeral head translations of 1, 2, and 3 mm. The results of the finite element model compared well to experimental measurements, falling within one standard deviation of the experimental data in most cases. The model predicted maximum average strains in the superior labrum of 7.9, 10.1, and 11.9%, for 1, 2, and 3 mm of humeral translation, respectively. The correspondence between the finite element model and the validation experiment supports the use of this model to better understand the pathomechanics of the superior labrum.

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Section: Discussionmentioning

confidence: 98%

Development and Validation of a Finite Element Model of the Superior Glenoid Labrum

et al. 2010

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“…The average element size is about I-mm3, approximately resulting in 2 million finite (computing) elements. Such a mesh/grid size meets conventional tests for mesh sensitivity [23].…”

Section: B Mesh Generationmentioning

confidence: 89%

Building a virtual breast elastography phantom lab using open source software

Wang

Helminen

Jiang

2014

2014 IEEE International Ultrasonics Symposium

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Ahstract-Ultrasound-based Elastography is being used to augment in vivo characterization of breast lesions. Results from a meta-analysis of all clinical trials (up to 2011) indicated a lack of confidence in image interpretation. Such confidence can only be gained through rigorous imaging tests using complex, heterogeneous but known media. Our objective of this study is to build a virtual breast phantom lab in the public domain that can be used for rigorous imaging testing of this kind. Main thrust of this work is to streamline biomedical ultrasound simulations in conjunction with anatomically complex (software) phantoms by leveraging existing open source software packages including K wave or Field II (acoustic simulation), VTK (data visualization and processing), FEBio (biomechanical deformation) and Tetgen (mesh generation). The integration of these four open source packages was based on a simple message-passing scheme to facilitate its use among imaging scientists. In this study, we demonstrated that a complex and heterogeneous (virtual) breast phantom can be derived from medical imaging data, i.e. publically available Visible Human Project data through US National Institutes of Health. Three volumes of interest were selected from the proposed virtual breast phantom to perform acoustic simulations using a virtual linear array transducer (6MHz and 80% bandwidth). Our initial results showed that simulated B-mode images accurately represented the underlying complex but known medium. In order to demonstrate applications in elastography, the virtual breast phantom was also deformed using finite element simulations. The resultant simulated strain image depicted complex patterns that were normally seen in clinical data. In conclusion, the proposed virtual software infrastructure can perform sophisticated ultrasound simulations in conjunction with complex and heterogeneous media. It is our intent that, in the future, the proposed virtual software infrastructure will be available to the research community for use in creation complex imaging benchmark tests for algorithm testing and validation. Furthermore, the proposed virtual platform can also be tailored to meet specific research needs by potential users themselves in an open science fashion. Collectively, these activities will accelerate development of ultrasound imaging including elastography.

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“…The FEM method is very powerful and has been widely used in the field of biomechanics to evaluate complex structures, including the adult CCJ. 1,5,8,[11][12][13][14][15][16]20,21,27,34 Several factors must be considered to apply the FEM method correctly. Spine models include complicated 3D geometry, nonlinear and/or inhomogeneous material properties, and complex boundary and loading conditions.…”

Section: Methods Introduction To Femmentioning

confidence: 99%

Development and initial evaluation of a finite element model of the pediatric craniocervical junction

Phuntsok

Mazur

Ellis

et al. 2016

PED

Self Cite

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OBJECT There is a significant deficiency in understanding the biomechanics of the pediatric craniocervical junction (CCJ) (occiput–C2), primarily because of a lack of human pediatric cadaveric tissue and the relatively small number of treated patients. To overcome this deficiency, a finite element model (FEM) of the pediatric CCJ was created using pediatric geometry and parameterized adult material properties. The model was evaluated under the physiological range of motion (ROM) for flexion-extension, axial rotation, and lateral bending and under tensile loading. METHODS This research utilizes the FEM method, which is a numerical solution technique for discretizing and analyzing systems. The FEM method has been widely used in the field of biomechanics. A CT scan of a 13-month-old female patient was used to create the 3D geometry and surfaces of the FEM model, and an open-source FEM software suite was used to apply the material properties and boundary and loading conditions and analyze the model. The published adult ligament properties were reduced to 50%, 25%, and 10% of the original stiffness in various iterations of the model, and the resulting ROMs for flexion-extension, axial rotation, and lateral bending were compared. The flexion-extension ROMs and tensile stiffness that were predicted by the model were evaluated using previously published experimental measurements from pediatric cadaveric tissues. RESULTS The model predicted a ROM within 1 standard deviation of the published pediatric ROM data for flexion-extension at 10% of adult ligament stiffness. The model's response in terms of axial tension also coincided well with published experimental tension characterization data. The model behaved relatively stiffer in extension than in flexion. The axial rotation and lateral bending results showed symmetric ROM, but there are currently no published pediatric experimental data available for comparison. The model predicts a relatively stiffer ROM in both axial rotation and lateral bending in comparison with flexion-extension. As expected, the flexion-extension, axial rotation, and lateral bending ROMs increased with the decrease in ligament stiffness. CONCLUSIONS An FEM of the pediatric CCJ was created that accurately predicts flexion-extension ROM and axial force displacement of occiput–C2 when the ligament material properties are reduced to 10% of the published adult ligament properties. This model gives a reasonable prediction of pediatric cervical spine ligament stiffness, the relationship between flexion-extension ROM, and ligament stiffness at the CCJ. The creation of this model using open-source software means that other researchers will be able to use the model as a starting point for research.

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Methodology and sensitivity studies for finite element modeling of the inferior glenohumeral ligament complex

Cited by 44 publications

References 47 publications

Development and Validation of a Finite Element Model of the Superior Glenoid Labrum

Development and Validation of a Finite Element Model of the Superior Glenoid Labrum

Building a virtual breast elastography phantom lab using open source software

Development and initial evaluation of a finite element model of the pediatric craniocervical junction

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