Relevant bibliographies by topics / Computational Biomechanics

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Computational Biomechanics'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 June 2025

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Journal articles on the topic "Computational Biomechanics"

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Miller, Karol. "Computational biomechanics for medicine." International Journal for Numerical Methods in Biomedical Engineering 27, no. 3 (2011): 345–46. http://dx.doi.org/10.1002/cnm.1434.

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Ethier, C. Ross. "Biomechanics in Glaucoma : Insights from Computational Studies." Proceedings of The Computational Mechanics Conference 2009.22 (2009): _—5_—_—7_. http://dx.doi.org/10.1299/jsmecmd.2009.22._-5_.

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Zhao, Yunmei, Saeed Siri, Bin Feng, and David M. Pierce. "The Macro- and Micro-Mechanics of the Colon and Rectum II: Theoretical and Computational Methods." Bioengineering 7, no. 4 (2020): 152. http://dx.doi.org/10.3390/bioengineering7040152.

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Abnormal colorectal biomechanics and mechanotransduction associate with an array of gastrointestinal diseases, including inflammatory bowel disease, irritable bowel syndrome, diverticula disease, anorectal disorders, ileus, and chronic constipation. Visceral pain, principally evoked from mechanical distension, has a unique biomechanical component that plays a critical role in mechanotransduction, the process of encoding mechanical stimuli to the colorectum by sensory afferents. To fully understand the underlying mechanisms of visceral mechanical neural encoding demands focused attention on the macro- and micro-mechanics of colon tissue. Motivated by biomechanical experiments on the colon and rectum, increasing efforts focus on developing constitutive frameworks to interpret and predict the anisotropic and nonlinear biomechanical behaviors of the multilayered colorectum. We will review the current literature on computational modeling of the colon and rectum as well as the mechanical neural encoding by stretch sensitive afferent endings, and then highlight our recent advances in these areas. Current models provide insight into organ- and tissue-level biomechanics as well as the stretch-sensitive afferent endings of colorectal tissues yet an important challenge in modeling theory remains. The research community has not connected the biomechanical models to those of mechanosensitive nerve endings to create a cohesive multiscale framework for predicting mechanotransduction from organ-level biomechanics.
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Hou, Qiling. "Biomechanics of the Ankle: Exploring Structure, Function, and Injury Mechanisms." Studies in Sports Science and Physical Education 1, no. 2 (2023): 1–16. http://dx.doi.org/10.56397/ssspe.2023.09.01.

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This paper provides an overview of the biomechanical considerations related to ankle injury prediction, prevention, and rehabilitation. Firstly, we discuss the biomechanical factors that contribute to ankle fractures, including loading patterns and bone density. We then explore various biomechanical assessment techniques, such as motion analysis, force measurements, and imaging modalities, which can be used to predict injury risk, guide treatment decisions, and monitor rehabilitation progress. Additionally, we examine biomechanical interventions, including bracing, taping, muscle strengthening, and proprioceptive training, which have proven effective in improving ankle stability and preventing injuries. Furthermore, we highlight the emerging technologies of wearable sensors and computational modeling, which offer new avenues for assessing ankle biomechanics and personalizing interventions. Ultimately, this paper emphasizes the integration of biomechanics with personalized medicine as a promising approach for optimizing ankle injury prevention and rehabilitation outcomes. However, further research is needed to address unanswered questions and explore future directions in ankle biomechanics.
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Choi, Hyung Yun. "W231004 Digital Human Body Modeling for Computational Biomechanics." Proceedings of Mechanical Engineering Congress, Japan 2011 (2011): _W231004–1—_W231004–1. http://dx.doi.org/10.1299/jsmemecj.2011._w231004-1.

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Wang, Lei, and Zunjie Zhu. "Applications and challenges of artificial intelligence-driven 3D vision in biomedical engineering: A biomechanics perspective." Molecular & Cellular Biomechanics 22, no. 2 (2025): 1006. https://doi.org/10.62617/mcb1006.

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This paper explores the applications and challenges of artificial intelligence (AI)-driven 3D vision technology in biomedical engineering, with a specific focus on its integration with biomechanics. 3D vision technology offers richer spatial information compared to traditional 2D imaging and is increasingly applied in fields like medical image analysis, surgical navigation, lesion detection, and biomechanics. In biomechanics, AI-driven 3D vision is used for analyzing human movement, modeling musculoskeletal systems, and assessing joint biomechanics. However, challenges persist, including image quality, computational resource demands, data privacy, and algorithmic bias. This paper reviews the development of 3D vision technology and AI, discusses its applications in biomedicine and biomechanics, and addresses the key technical obstacles, offering insights into the future development of these technologies in the context of biomedical and biomechanical research.
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Chen, J. C., Ming-Shaung Ju, and Chou-Ching K. Lin. "INVERSE FINITE ELEMENT ANALYSIS TO ESTIMATE BIOMECHANICAL PROPERTIES OF RAT SCIATIC NERVE(1E1 Computational Biomechanics)." Proceedings of the Asian Pacific Conference on Biomechanics : emerging science and technology in biomechanics 2007.3 (2007): S78. http://dx.doi.org/10.1299/jsmeapbio.2007.3.s78.

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Tawhai, M., J. Bischoff, D. Einstein, A. Erdemir, T. Guess, and J. Reinbolt. "Multiscale modeling in computational biomechanics." IEEE Engineering in Medicine and Biology Magazine 28, no. 3 (2009): 41–49. http://dx.doi.org/10.1109/memb.2009.932489.

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Vorp, D. A., D. A. Steinman, and C. R. Ethier. "Computational modeling of arterial biomechanics." Computing in Science & Engineering 3, no. 5 (2001): 51–64. http://dx.doi.org/10.1109/5992.947108.

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Truskey, George A. "The Potential of Deep Learning to Advance Clinical Applications of Computational Biomechanics." Bioengineering 10, no. 9 (2023): 1066. http://dx.doi.org/10.3390/bioengineering10091066.

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When combined with patient information provided by advanced imaging techniques, computational biomechanics can provide detailed patient-specific information about stresses and strains acting on tissues that can be useful in diagnosing and assessing treatments for diseases and injuries. This approach is most advanced in cardiovascular applications but can be applied to other tissues. The challenges for advancing computational biomechanics for real-time patient diagnostics and treatment include errors and missing information in the patient data, the large computational requirements for the numerical solutions to multiscale biomechanical equations, and the uncertainty over boundary conditions and constitutive relations. This review summarizes current efforts to use deep learning to address these challenges and integrate large data sets and computational methods to enable real-time clinical information. Examples are drawn from cardiovascular fluid mechanics, soft-tissue mechanics, and bone biomechanics. The application of deep-learning convolutional neural networks can reduce the time taken to complete image segmentation, and meshing and solution of finite element models, as well as improving the accuracy of inlet and outlet conditions. Such advances are likely to facilitate the adoption of these models to aid in the assessment of the severity of cardiovascular disease and the development of new surgical treatments.
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Dissertations / Theses on the topic "Computational Biomechanics"

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Holmberg, Joakim L. "Computational Biomechanics in Cross‐country Skiing." Licentiate thesis, Linköping University, Linköping University, Department of Management and Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10671.

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<p>Traditionally, research on cross‐country skiing biomechanics is based mainly on experimental testing alone. Trying a different approach, this thesis explores the possibilities of using computational musculoskeletal biomechanics for cross‐country skiing. As far as the author knows, this has not been done before.</p><p>Cross‐country skiing is both fast and powerful, and the whole body is used to generate movement. Consequently, the computational method used needs to be able to handle a full‐body model with lots of muscles. This thesis presents several simulation models created in the AnyBody Modeling System, which is based on inverse dynamics and static optimization. This method allows for measurementdriven full‐body models with hundreds of muscles and rigid body segments of all major body parts.</p><p>A major result shown in the thesis is that with a good simulation model it is possible to predict muscle activation. Even though there is no claim of full validity of the simulation models, this result opens up a wide range of possibilities for computational musculoskeletal biomechanics in cross‐country skiing. Two example of new possibilities are shown in the thesis, finding antagonistic muscle pairs and muscle load distribution differences in different skiing styles. Being able to perform optimization studies and asking and answering “what if”‐questions really gives computational methods an edge compared to traditional testing.</p><p>To conclude, a combination of computational and experimental methods seems to be the next logical step to increase the understanding of the biomechanics of crosscountry skiing.</p><br><p>Traditionellt har biomekaniska forskningsstudier av längdskidåkning baserats helt och hållet på experimentella metoder. För att prova ett annat angreppssätt undersöks i denna avhandling vilka möjligheter som beräkningsbaserad biomekanik kan ge för längdskidåkning. Så vida författaren vet, har detta inte gjorts tidigare.</p><p>Längdskidåkning innehåller snabba och kraftfulla helkroppsrörelser och därför behövs en beräkningsmetod som kan hantera helkroppsmodeller med många muskler. Avhandlingen presenterar flera simuleringsmodeller skapade i AnyBody Modeling System, som baseras på inversdynamik och statisk optimering. Denna metod tillåter helkroppsmodeller med hundratals muskler och stelkroppssegment av de flesta kroppsdelarna.</p><p>Ett resultat som avhandlingen visar är att med en bra simuleringsmodell är det möjligt att förutsäga muskelaktiviteten för en viss rörelse och belastning på kroppen. Även om ingen validering av simuleringsmodellen ges, så visar ändå resultatet att beräkningsbaserad biomekanik ger många nya möjligheter till forskningsstudier av längdskidåkning. Två exempel visas, hur muskelantagonister kan hittas samt hur lastfördelningen mellan musklerna förändras då skidåkaren förändrar stilen. Att kunna genomföra optimeringsstudier samt fråga och svara på ”vad händer om”‐ frågor ger beräkningsbaserad biomekanik en fördel i jämförelse med traditionell testning.</p><p>Slutsatsen är att en kombination av beräkningsbaserade och experimentella metoder borde vara nästa steg för att addera insikt om längdskidåkningens biomekanik.</p><br>Report code: LIU‐TEK‐LIC‐2008:4. On the day of the defence date the status of article V was: Submitted.
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Holmberg, L. Joakim. "Computational biomechanics in cross-country skiing /." Linköping : Department of Management and Engineering, Linköping University, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10671.

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Pant, Anup Dev. "A Computational Approach to Study Iris Biomechanics." University of Akron / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron154238673115656.

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Said, Munzir. "Computational optimal control modeling and smoothing for biomechanical systems." University of Western Australia. Dept. of Mathematics and Statistics, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0082.

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[Truncated abstract] The study of biomechanical system dynamics consists of research to obtain an accurate model of biomechanical systems and to find appropriate torques or forces that reproduce motions of a biomechanical subject. In the first part of this study, specific computational models are developed to maintain relative angle constraints for 2-dimensional segmented bodies. This is motivated by the fact that there is a possibility of models of segmented bodies, moving under gravitational acceleration and joint torques, for its segments to move past the natural relative angle limits. Three models to maintain angle constraints between segments are proposed and compared. These models are: all-time angle constraints, a restoring torque in the state equations and an exponential penalty model. The models are applied to a 2-D three segment body to test the behaviour of each model when optimizing torques to minimize an objective. The optimization is run to find torques so that the end effector of the body follows the trajectory of a half circle. The result shows the behavior of each model in maintaining the angle constraints. The all-time constraints case exhibits a behaviour of not allowing torques (at a solution) which make segments move past the constraints, while the other two show a flexibility in handling the angle constraints more similar to a real biomechanical system. With three computational methods to represent the angle contraint, a workable set of initial torques for the motion of a segmented body can be obtained without causing integration failure in the ordinary differential equation (ODE) solver and without the need to use the “blind man method” that restarts the optimal control many times. ... With one layer of penalty weight balancing between trajectory compliance penalty and other optimal control objectives (minimizing torque/smoothing torque) already difficult to obtain (as explained by the L-curve phenomena), adding the second layer penalty weight for the closeness of fit for each of the body segments will further complicate the weight balancing and too much trial and error computation may be needed to get a reasonably good set of weighting values. Second order regularization is also added to the optimal control objective and the optimization has managed to obtain smoother torques for all body joints. To make the current approach more competitive with the inverse dynamic, an algorithm to speed up the computation of the optimal control is required as a potential future work.
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Lumpaopong, Punyawan. "Patellofemoral joint biomechanics : computational modelling and clinical applications." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/27286.

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The patellofemoral joint (PFJ) plays an important role in the extensor mechanism of the knee. Several types of PFJ disorders are commonly found in about 25% of the people. It is believed that patellofemoral (PF) disorders, e.g. excessive lateral pressure syndrome and patellar maltracking, may be associated with articular cartilage contact pressure elevation, which accelerates degenerative joint disease and causes anterior knee pain. To reduce the pressures, a number of anatomical interventions have been applied to correct contact mechanics and patellar tracking. However, the rate of successful surgery is not high because the anatomical complexity of the joint itself and complex symptoms make diagnosis difficult. For this reason, various computational modelling techniques have been developed to assist in diagnosis and prognosis of PF disorders. This research aims to develop a finite element (FE) modelling method and study the feasibility of its clinical applications. The modelling methods may assist in the diagnostic and treatment planning processes. The research was divided into five phases: 1) development of an FE modelling method to analyse PFJ models 2) model validation using in vitro experimental data 3) development of subject-specific input estimation method from routine diagnosis protocols 4) model sensitivity analysis and 5) clinical applications. The FE results included joint contact force, contact pressure, subchondral bone stress and patellar kinematics. The validation and sensitivity analysis showed that the FE modelling method could adequately analyse PFJ biomechanics. Approval for a clinical study was obtained from the National Health Service (NHS) Research Ethics Committee, and groups of control subjects, anterior knee pain (AKP) patients and those with trochlear dysplasia and trochleoplasty were recruited. The modelling method was applied to analyse their knees and predict their non-operative and operative treatment outcomes. The study showed that the biomechanical responses of the PFJ and the treatment evaluations were variable. In particular, it was found that AKP was associated with significant elevation of contact pressure; thus confirming the usefulness of the FE modelling method as a powerful diagnostic and surgical planning tool for subject-specific PFJ treatment.
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Sirry, Mazin Salaheldin. "Computational biomechanics of acute myocardial infarction and its treatment." Doctoral thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/15717.

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The intramyocardial injection of biomaterials is an emerging therapy for myocardial infarction. Computational methods can help to study the mechanical effect s of biomaterial injectates on the infarcted heart s and can contribute to advance and optimise the concept of this therapy. The distribution of polyethylene glycol hydrogel injectate delivered immediately after the infarct induction was studied using rat infarct model. A micro-structural three-dimensional geometrical model of the entire injectate was reconstructed from histological micro graphs. The model provides a realistic representation of biomaterial injectates in computational models at macroscopic and microscopic level. Biaxial and compression mechanical testing was conducted for healing rat myocardial infarcted tissue at immediate (0 day), 7, 14 and 28 days after infarction onset. Infarcts were found to be mechanically anisotropic with the tissue being stiffer in circumferential direction than in longitudinal direction. The 0, 7, 14 and 28 days infarcts showed 443, 670, 857 and 1218 kPa circumferential tensile moduli. The 28 day infarct group showed a significantly higher compressive modulus compared to the other infarct groups (p= 0.0055, 0.028, and 0.018 for 0, 7 and 14 days groups). The biaxial mechanical data were utilized to establish material constitutive models of rat healing infarcts. Finite element model s and genetic algorithms were employed to identify the parameters of Fung orthotropic hyperelastic strain energy function for the healing infarcts. The provided infarct mechanical data and the identified constitutive parameters offer a platform for investigations of mechanical aspects of myocardial infarction and therapies in the rat, an experimental model extensively used in the development of infarct therapies. Micro-structurally detailed finite element model of a hydrogel injectate in an infarct was developed to provide an insight into the micromechanics of a hydrogel injectate and infarct during the diastolic filling. The injectate caused the end-diastolic fibre stresses in the infarct zone to decrease from 22.1 to 7.7 kPa in the 7 day infarct and from 35.7 to 9.7 kPa in the 28 day infarct. This stress reduction effect declined as the stiffness of the biomaterial increased. It is suggested that the gel works as a force attenuating system through micromechanical mechanisms reducing the force acting on tissue layers during the passive diastolic dilation of the left ventricle and thus reducing the stress induced in these tissue layers.
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Ridzwan, Mohamad. "A computational orthopaedic biomechanics study of osteoporotic hip fractures." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/47971.

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Low dual energy X-ray absorptiometry (DXA) measured bone mineral density (BMD) is used as an indicator of reduced bone strength and increased risk of fracture. BMD is widely used to identify patients for fracture prevention treatment. However, many fracture patients are not osteoporotic and would not have been identified by BMD screening. Also, BMD screening vastly overpredicts the number of patients who will progress to fracture. In summary, there is a need to improve explanation and prediction of femoral fracture. The overall aim of this thesis was to develop a finite element (FE) methodology that can explain (better than BMD) femoral fractures. An additional aim was to develop a novel experimental methodology, computed tomography (CT)-based digital volume correlation (CT-DVC). This method measures internal strain and fracture and served as validation for the FE methodology. The study included three groups of femur specimens; Group 1: 15 cadavers served as non-fracture controls, Group 2: 14 patients who had suffered a femoral fracture and Group 3: 13 patients scheduled for arthroplasty due to osteoarthritis served as a second non-fracture control group. The correlation of FE-predicted fracture load with in-vitro testing of cadaveric femurs was superior to that of BMD predictions (R2 = 0.77 and R2 = 0.59). Also, the match between CT-based FE models and the experimental observations was reasonably good (73% match) whereas BMD is unable to explain the fracture type. FE-predicted fracture types matched 13 of 14 patient-specific clinical fractures. Including bone quality and load (fall) direction, FE explained many of the clinical fractures that BMD was unable to explain and critical fall directions were identified. FE predicted lower strength of the fracture group which was associated with smaller sizes of anatomical parameters. Also the CT- DVC method demonstrated consistent results and was deemed to have great potential for a wide range of orthopaedic applications.
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Masithulela, Fulufhelo James. "Computational biomechanics in the remodelling rat heart post myocardial infarction." Doctoral thesis, University of Cape Town, 2016. http://hdl.handle.net/11427/20555.

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Cardiovascular diseases account for one third of all deaths worldwide, more than 33% of which are related to ischemic heart disease, including myocardial infarction (MI). This thesis seeks to provide insight and understanding of mechanisms during different stages of MI by utilizing finite element (FE) modelling. Three-dimensional biventricular rat heart geometries were developed from cardiac magnetic resonance images of a healthy heart and a heart with left ventricular (LV) infarction two weeks and four weeks after infarct induction. From these geometries, FE models were established. To represent the myocardium, a structure-based constitutive model and a rule-based myofibre distribution were developed to simulate both passive mechanics and active contraction.
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Li, Junyan. "Computational biomechanics/biotribological modelling of natural and artificial hip joints." Thesis, University of Leeds, 2013. http://etheses.whiterose.ac.uk/5500/.

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The excellent hip function and potential degeneration are closely linked with the unique structure of the joint cartilage that is principally composed of a solid phase and a fluid phase. Once damaged, the joint may need to be replaced by prosthesis in order to restore function in hip kinematics and kinetics. However, to what extent this can be achieved has yet to be quantified. On the other hand, the role of fluid pressurisation which plays in hip function has been poorly understood. The aim of this thesis was to address these issues. To evaluate the gait abnormality, particularly in terms of hip contact forces, a musculoskeletal model of lower extremity was constructed in a rigid-body dynamics frame, and the hip kinematics and kinetics were determined and cross-compared for a group of asymptomatic total hip replacement (THR) patients, THR patients with symptoms of symptomatic leg length inequality (LLI) and normal healthy people. Significant abnormal patterns in gait kinetics were observed for the asymptomatic THR patients, and this abnormality was greater for the LLI patients. To understand contact mechanics and the associated fluid pressurisation within the hip cartilage, a three dimensional finite element (FE) hip model with biphasic cartilage layers were developed. The protocol was compared to other solvers. A set of sensitivity studies were undertaken to evaluate the influence of model parameters, and then the model was evaluated under a range of loads with different activities. In all the cases, the fluid supported over 90% of the load for a prolonged period, potentially providing excellent hip function and lubrication. The musculoskeletal model and FE joint were combined to investigate the performance of the non-operated joint of the THR / LLI patients during gait which was found to function in a mechanically abnormal but not adverse environment. Lastly, the methodology of the biphasic hip modelling was validated using an experimental porcine hip of hemiarthroplasty. Good agreement was achieved between the FE predictions and the experimental measurement of the contact area.
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Perez, Michael. "A Computational Assessment of Lisfranc Injuries and their Surgical Repairs." VCU Scholars Compass, 2019. https://scholarscompass.vcu.edu/etd/5947.

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While Lisfranc injuries in the mid foot are less common than other ankle and mid foot injuries, they pose challenges in both properly identifying them and treating them. When Lisfranc injuries are ligamentous and do not include obvious fractures, they are very challenging for clinicians to identify unless weight bearing radiographs are used. The result is that 20%-40% of Lisfranc injuries are missed in the initial evaluation. Even when injuries are correctly identified the outcomes of surgical procedures remain poor. Existing literature has compared the different surgical procedures but has not had a standard approach or procedures across studies. This study uses a computational biomechanical model validated on a cadaveric study to evaluate factors that impact injury presentation and to compare the different procedures ability to stabilize the Lisfranc joint after an injury. Using SolidWorks® a rigid body kinematic model of a healthy human foot was created whereby the 3D bony anatomy, articular contacts, and soft tissue restraints guided biomechanical function under the action of external perturbations and muscle forces. The model was validated on a cadaveric study to ensure it matched the behavior of a healthy Lisfranc joint and one with a ligamentous injury. The validated model was then extended to incorporate muscle forces and different foot orientations when simulating a weight bearing radiograph. The last section of work was to compare the stability of four different surgical repairs for Lisfranc injuries. These procedures were three open reduction and internal fixation (ORIF) procedures with different hardware (screws, screws and dorsal plates, and endobuttons) and primary arthrodesis with screws. They required use of finite element analysis which was performed in Ansys Workbench. For the presentation of injuries, both muscle forces and standing with inversion or eversion could reduce the diastasis (separation) observed for weight bearing radiographs and thus confuse the diagnosis. When comparing the different surgical procedures, the ORIF with screws and primary arthrodesis with screws showed the most stable post-operative Lisfranc joint. However, the use of cannulated screws for fixation showed regions of high stress that may be susceptible to breakage. A challenge in the literature has been the use of different experimental designs and metrics when comparing two of the possible procedures for a Lisfranc injury head to head. This study has been able to benchmark four procedures using the same model and set of metrics. Since none of the existing procedures showed consistently good to excellent patient outcomes, more procedures could be proposed in the future. If this were to occur, this study offers a standard procedure for benchmarking the new procedure’s post-operative mechanical stability versus those procedures currently in use.
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Books on the topic "Computational Biomechanics"

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Tanaka, Masao, Shigeo Wada, and Masanori Nakamura. Computational Biomechanics. Springer Japan, 2012. http://dx.doi.org/10.1007/978-4-431-54073-1.

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Hayashi, Kozaburo, and Hiromasa Ishikawa, eds. Computational Biomechanics. Springer Japan, 1996. http://dx.doi.org/10.1007/978-4-431-66951-7.

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Miller, Karol, Adam Wittek, Martyn Nash, and Poul M. F. Nielsen, eds. Computational Biomechanics for Medicine. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70123-9.

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Nielsen, Poul M. F., Adam Wittek, and Karol Miller, eds. Computational Biomechanics for Medicine. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3172-5.

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Joldes, Grand R., Barry Doyle, Adam Wittek, Poul M. F. Nielsen, and Karol Miller, eds. Computational Biomechanics for Medicine. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28329-6.

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Miller, Karol, Adam Wittek, Grand Joldes, Martyn P. Nash, and Poul M. F. Nielsen, eds. Computational Biomechanics for Medicine. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42428-2.

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Nash, Martyn P., Poul M. F. Nielsen, Adam Wittek, Karol Miller, and Grand R. Joldes, eds. Computational Biomechanics for Medicine. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-15923-8.

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Wittek, Adam, Poul M. F. Nielsen, and Karol Miller, eds. Computational Biomechanics for Medicine. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9619-0.

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Miller, Karol, and Poul M. F. Nielsen, eds. Computational Biomechanics for Medicine. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-5874-7.

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De, Suvranu, Farshid Guilak, and Mohammad Mofrad R. K., eds. Computational Modeling in Biomechanics. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-3575-2.

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Book chapters on the topic "Computational Biomechanics"

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Yamaguchi, Takami. "Computational Visualization of Blood Flow." In Computational Biomechanics. Springer Japan, 1996. http://dx.doi.org/10.1007/978-4-431-66951-7_8.

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Tanaka, Masao, Shigeo Wada, and Masanori Nakamura. "Introduction." In Computational Biomechanics. Springer Japan, 2012. http://dx.doi.org/10.1007/978-4-431-54073-1_1.

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Tanaka, Masao, Shigeo Wada, and Masanori Nakamura. "Mechanics of Biosolids and Computational Analysis." In Computational Biomechanics. Springer Japan, 2012. http://dx.doi.org/10.1007/978-4-431-54073-1_2.

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Tanaka, Masao, Shigeo Wada, and Masanori Nakamura. "Mechanics of Biofluids and Computational Analysis." In Computational Biomechanics. Springer Japan, 2012. http://dx.doi.org/10.1007/978-4-431-54073-1_3.

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Tanaka, Masao, Shigeo Wada, and Masanori Nakamura. "Spring Network Modeling Based on the Minimum Energy Concept." In Computational Biomechanics. Springer Japan, 2012. http://dx.doi.org/10.1007/978-4-431-54073-1_4.

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Tanaka, Masao, Shigeo Wada, and Masanori Nakamura. "Toward In Silico Medicine." In Computational Biomechanics. Springer Japan, 2012. http://dx.doi.org/10.1007/978-4-431-54073-1_5.

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Tanaka, Masao, and Taiji Adachi. "Model and Simulation of Bone Remodeling Considering Residual Stress." In Computational Biomechanics. Springer Japan, 1996. http://dx.doi.org/10.1007/978-4-431-66951-7_1.

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Tokuda, Masataka, and Yutaka Sawaki. "Numerical Simulator for Left-Ventricular Functions." In Computational Biomechanics. Springer Japan, 1996. http://dx.doi.org/10.1007/978-4-431-66951-7_10.

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Ito, Koji. "Dynamic Control of the Musculoskeletal System." In Computational Biomechanics. Springer Japan, 1996. http://dx.doi.org/10.1007/978-4-431-66951-7_11.

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Wada, Hiroshi, and Syu-ichi Noguchi. "Theoretical Analysis of Otoacoustic Emissions." In Computational Biomechanics. Springer Japan, 1996. http://dx.doi.org/10.1007/978-4-431-66951-7_12.

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Conference papers on the topic "Computational Biomechanics"

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Pleouras, Dimitrios S., Panagiotis K. Siogkas, Vassiliki T. Potsika, et al. "Investigation of the significance of the plaque morphology evolution in plaque rupture events using computational biomechanics." In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2024. https://doi.org/10.1109/embc53108.2024.10782171.

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Yates, M., M. Tumperi, E. Crane, et al. "Computational Assessment of Headborne Equipment: Alteration of Head and Neck Biomechanics During Blast-Induced Accelerative Loading." In Personal Armour Systems Symposium. Royal Military Academy (Belgium), 2023. https://doi.org/10.52202/080042-0019.

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Chen, Hairong, Qiaolin Zhang, and István Biró. "A Comparative Analysis of Different Longitudinal Bending Stiffness Shoes on Running Biomechanics in Adolescent Amateur Runners." In 2024 IEEE 18th International Symposium on Applied Computational Intelligence and Informatics (SACI). IEEE, 2024. http://dx.doi.org/10.1109/saci60582.2024.10619744.

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Shobha, E. S., H. P. Raghuveer, Suresh Nagesh, et al. "Computational biomechanics in craniofacial fractures." In 2016 IEEE Annual India Conference (INDICON). IEEE, 2016. http://dx.doi.org/10.1109/indicon.2016.7838912.

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YAMAGUCHI, TAKAMI, HITOSHI KONDO, YUJI SHIMOGONYA, YOHSUKE IMAI, NORIAKI MATSUKI, and TAKUJI ISHIKAWA. "COMPUTATIONAL BIOMECHANICS FOR INVESTIGATING CARDIOVASCULAR DISEASES." In Proceedings of the Tohoku University Global Centre of Excellence Programme. PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO., 2009. http://dx.doi.org/10.1142/9781848163539_0004.

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Yamaguchi, T. "Computational biomechanics of the cardiovascular system." In BIOMEDICINE 2005. WIT Press, 2005. http://dx.doi.org/10.2495/bio050371.

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Addison, B., N. Sarigul-Klijn, R. Roberto, A. Jamali, and M. Thompson. "High Fidelity Computational Approach to Validate Spine Biomechanics Measurements: A Case Study to Correct Scoliosis." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-10426.

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This paper presents a high fidelity computational approach to be used in validation of biomechanics experimental measurements. As a demonstration, a case study involving a spinous process implant to correct scoliosis is presented. The biomechanical behavior of the spinous process and implant under tensile loading is investigated using experiments and computations. The experimental study examined the ultimate strength of calf thoracic and lumbar spinous processes in three pullout directions. A statistical analysis was performed on the experimental results to reveal relationships and variations between pullout direction and vertebral type. The finite element high fidelity computational analysis was performed to validate the experimental results. In the process, the material properties of cortical and trabecular bone were elucidated for calf spinous processes. Good comparisons are obtained. The high fidelity computational approach detailed here should serve useful in validation of experimental values from spine biomechanics experimental.
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Belinha, J., L. M. J. S. Dinis, and R. Natal Jorge. "Structural computational biomechanics with advanced discretization techniques." In 2017 IEEE 5th Portuguese Meeting on Bioengineering (ENBENG). IEEE, 2017. http://dx.doi.org/10.1109/enbeng.2017.7889484.

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Wijesinghe, Philip, David D. Sampson, and Brendan F. Kennedy. "Computational optical palpation: micro-scale force mapping using finite-element methods (Conference Presentation)." In Optical Elastography and Tissue Biomechanics III, edited by Kirill V. Larin and David D. Sampson. SPIE, 2016. http://dx.doi.org/10.1117/12.2213824.

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Shirazi-Adl, A., and M. Parnianpour. "Computational Biomechanics of Human Spine Under Wrapping Compression Loading." In ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-1921.

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Abstract Computational biomechanics of the human spine under a novel compression loading that follows the curvature of the spine is performed by evaluation and comparison of the detailed response of the spine under various types of compression loading at different postures. The nonlinear finite element formulation of wrapping elements sliding without friction over solid body edges is developed and used to study the load-bearing capacity of thoracolumbar (T1-S1) and lumbosacral (L1-S1) spines under one or several wrapping compression forces. Follower load at the L1, axially-fixed compression at the L1, and combined axially-fixed compression plus constrained rotations are also considered for comparison. Moreover, for the detailed lumbosacral model, the effect of changes in the position of wrapping elements and in the lumbar curvature on results are considered. The idealized wrapping loading substantially stiffens the spine allowing it to carry very large compression loads without hypermobility. It diminishes local segmental shear forces and moments as well as tissue stresses. In comparison to fixed axial compression, therefore, the compression loading by wrapping elements that follow the spinal curvatures increases the load-bearing capacity in compression and provides a greater margin of safety against both instability and tissue injury. These findings suggest a plausible mechanism in which postural changes and muscle activation patterns could be exploited to yield a loading configuration similar to that of the wrapping loading. To alleviate hypermobility in compression, the wrapping loading could also allow for the application of meaningful compression loads in experimental as well as model studies of the multi-segmental spinal biomechanics.
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