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26 projects in result set. Displaying 20 per page. Projects sorted by alphabetical order.
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Open Knee(s): Virtual Biomechanical Representations of the Knee Joint
- Open Knee(s) was aimed to provide free access to three-dimensional finite element representations of the knee joint (<A HREF="https://doi.org/10.1007/s10439-022-03074-0">https://doi.org/10.1007/s10439-022-03074-0</A>). The development platform remains open to enable any interested party to use, test, and edit the model; in a nut shell get involved with the project.
This study was primarily funded by the National Institute of General Medical Sciences, National Institutes of Health (R01GM104139) and in part by National Institute of Biomedical Imaging and Bioengineering (R01EB024573 and R01EB025212). Previous activities leading towards this project had been partially funded by the National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health (R01EB009643).
Open Knee(s) by Open Knee(s) Development Team is licensed under a <A HREF="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</A>.
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Registered: 2010-02-18 20:41 |
Grand Challenge Competition to Predict In Vivo Knee Loads
- Knowledge of muscle and joint contact forces during gait is necessary to characterize muscle coordination and function as well as joint and soft-tissue loading. Musculoskeletal modeling and simulation is required to estimate muscle and joint contact forces, since direct measurement is not feasible under normal conditions. This project provides the biomechanics community with a unique and comprehensive data set to validate muscle and contact force estimates in the knee. This data set includes motion capture, ground reaction, EMG, tibial contact force, and strength data collected from a subject implanted with an instrumented knee prosthesis. | |
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Activity Percentile: 95.42 Registered: 2009-07-14 23:24 |
Predicting Cell Deformation from Body Level Mechanical Loads
- This project is a NIBIB/NIH funded study (1R01EB009643-01) to establish models and computational platforms to predict cellular deformations from joint level mechanical loading.
Collaborators:
Ahmet Erdemir (PI), Amit Vasanji, Jason Halloran (Cleveland Clinic)
Cees Oomens, Frank Baaijens (Eindhoven University of Technology)
Jeff Weiss (University of Utah)
Farshid Guilak (Duke University)
Summary (from grant proposal):
Cells of the musculoskeletal system are known to have a biological response to deformation. Deformations, when abnormal in magnitude, duration, and/or frequency content, can lead to cell damage and possible disruption in homeostasis of the extracellular matrix. These mechanisms can be studied in an isolated fashion but connecting mechanical cellular response to organ level mechanics and human movement requires a multiscale approach. At the organ level, physicians perform surgical procedures, investigators try to understand risk of injury, and clinicians prescribe preventive and therapeutic interventions. Many of these operations are aimed at management and prevention of cell damage, and to associate joint level mechanical markers of failure to cell level failure mechanisms. Through human movement, one explores neuromuscular control mechanisms and the influence of physical activity on musculoskeletal tissue properties. At a lower level, mechanical sensation of cell deformations regulate movement control. Physical rehabilitation and exercise regimens are prescribed to promote tissue healing and/or strengthening through cellular regeneration. The knowledge of the mechanical pathway, through which the body level loads are distributed between organs, then within the tissues and further along the extracellular matrix and the cells, is critical for the success of various interventions. However, this information is not established. The goal of this research proposal is to portray that prediction of cell deformations from loads acting on the human body, therefore a clear depiction of the mechanical pathway, is possible, if a multiscale simulation approach is used. Multiresolution models of the knee joint, representative of joint, tissue and cell structure and mechanics, will be developed for this purpose. The knee endures high rates of traumatic injury to its soft tissue structures and it is predominantly affected by osteoarthritis, chronically induced by abnormalities in mechanical loading or how it is transferred to the cartilage. Through multiscale mechanical coupling of these models, a map of cellular deformation in cartilage, ligaments and menisci under a variety of tibiofemoral joint loads will be obtained. Comprehensive mechanical testing at joint, tissue and cell levels will be conducted for parameter estimation and validation, including in vitro loading of the knee joint representative of lifelike loading scenarios. In addition, imaging modalities will capture joint and tissue anatomy, and spatial and deformation related information from cell and extracellular matrix. Advanced computational approaches will be used to obtain model properties and to facilitate multiscale simulations. The approach will combine the expertise of many investigators experienced in biomechanical modeling and experimentation at various biological scales, some with clinical expertise. In future, the research team will utilize this platform to establish the relationship between the structural and loading state of the knee and chondrocyte stresses to explore potential mechanisms of cartilage degeneration. Through documented dissemination of data and models, simulations of other pathologies and translation of the methodology to other organs can be carried out by any interested investigator. | |
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Registered: 2009-07-23 17:33 |
Specimen-Specific Models of the Healthy Knee
- As part of research funded by the National Institutes of Health, National Institute of Biomedical Imaging and Bioengineering (NIBIB), investigators at the University of Denver Center for Orthopaedic Biomechanics have made available a repository of experimental, image, and computational modeling data from mechanical testing of natural human knee biomechanics. It is uncommon for such a comprehensive dataset to be obtained. Therefore, we have made this repository available to assist the greater research community interested in the complexities and pathologies of knee health and mechanical function. Data are provided for 7 human knees (5 cadaveric subjects) and fall under two categories:
Image Data and Experimental & Computational Modeling Data.
Additional details about the data can be found at:
http://ritchieschool.du.edu/research/centers-institutes/orthopaedic-biomechanics/downloads/natural-knee-data/
This repository of natural knee data has been made available thanks to funding from the National Institutes of Health through National Institute of Biomedical Imaging and Bioengineering R01-EB015497. | |
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Registered: 2008-06-12 23:15 |
Reference Models for Multi-Layer Tissue Structures
- This project aims to establish the founding knowledge, data and models for the mechanics of multi-layer tissue structures of the limbs, particularly of the lower and upper legs and arms. The activity is targeted to promote scientific research in layered tissue structures and allow reliable virtual surgery simulations for clinical training and certification.
This research and development project titled “Reference Models for Multi-Layer Tissue Structures" was conducted by the Cleveland Clinic Foundation and was made possible by a contract vehicle which was awarded and administered by the U.S. Army Medical Research & Materiel Command under award number: W81XWH-15-1-0232. The views, opinions and/or findings contained in this website are those of the authors and do not necessarily reflect the views of the Department of Defense and should not be construed as an official DoD/Army position, policy or decision unless so designated by other documentation. No official endorsement should be made. | |
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Registered: 2015-08-24 12:54 |
MB Knee: Multibody Models of the Human Knee
- The purpose of this site is to disseminate geometry and modeling information for development of knee models, primarily in the multibody framework. MBKnee_4 is based on in vivo measurements from a 29 year old female while MBKnee_1, MBKnee_2, and MBKnee_3 are based on cadaver knees that were physically tested in a dynamic knee simulator. Knee geometries (bone, cartilage, and mensici) were derived from Magnetic Resonance Imaging (MRI) and ligament insertions come from MRI, the literature, and probing the cadaver knees. The site also contains information on ligament modeling, such as bundle insertion locations and zero load lengths. Examples of knee models are also provided in the form of ADAMS command files. MBKnee_4 is the most recent model and it includes representation of the medial and lateral menisci, wrapping around bone and cartilage of the meniscal horn attachments, attachments of the deep medial collateral ligament and the anterolateral ligament to the menisci, representation of the posterior oblique ligament and the anterolateral ligament, ligament zero load lengths (or reference strain) determined from experimental laxity measurements, and measured motion to deep flexion.
Funding for this work was provided by the National Institute of Arthritis an Musculoskeletal and Skin Diseases (RAR061698) and by the National Science Foundation (CMS-0506297). | |
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Activity Percentile: 79.77 Registered: 2012-05-25 17:31 |
Cal Poly Human Motion Biomechanics Lab Knee Joint Finite Element Model
- This project offers a subject-specific, total knee joint finite element model. In the MS thesis associated with this project, the model is used to predict articular cartilage stress and strain during the stance phase of gait. The model was partially validated with in vivo and other finite element analyses, but requires further validation and development to accurately predict articular cartilage contact parameters. Specific limitations include material properties, as well as potentially loading boundary conditions. Special attention should be paid to the "Future Work" section of the referenced thesis document in order to further develop the model for use in other studies. | |
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Activity Percentile: 76.34 Registered: 2014-07-23 03:48 |
CoBi Core Models, Data, Training Materials
- This project contains a variety of materials from Computational Biomodeling (CoBi) Core of the Cleveland Clinic, relevant to physics-based simulation of the biomechanical system. These may include various published/unpublished models, data, and training material generated through various small projects. | |
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Registered: 2010-10-07 13:09 |
Evertor and invertor muscle co-activation prevents ankle inversion injury
- The study described in this publication used musculoskeletal simulations to compare the capacity of planned invertor/evertor co-activation versus stretch reflexes with physiologic delay to prevent ankle inversion injuries. To achieve this, developed a novel model, muscle stretch controllers, and muscle reflex controllers for simulating landing in OpenSim. By freely providing the models, software plugins defining the controllers, and the resulting simulations, we hope to enable others to answer questions about landing control and injuries using simulations.
All models, data, and simulation results are provided in the downloads area of this project.
For software and sourcecode defining the novel stretch feedback controller and stretch reflex controller, see the related repository on GitHub.
https://github.com/msdemers/opensim-reflex-controllers
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Activity Percentile: 51.91 Registered: 2015-07-20 20:18 |
Efficient Methods for Multi-Domain Biomechanical Simulations
- This project is an NIH-funded collaboration between the Cleveland Clinic Foundation, the University of Utah, and the Stanford Center for Biomedical Computation (Simbios).
Grant number: 1 R01 EB006735-01
Principal Investigator: Ton van den Bogert
Co-Investigators: Ahmet Erdemir (CCF), Jeff Weiss (University of Utah), and Alan Freed (NASA Glenn Research Center)
Summary (from grant proposal):
In computational biomechanics, there are two well-developed but separate modeling domains: multibody dynamics for body movements, and finite element modeling for tissue deformations. Many clinical problems, however, span both domains. Whole body anatomy, mass distribution, and gait pattern are not typically represented in finite element models, yet these are important real-world factors that affect tissue stresses in the musculoskeletal system, which may contribute to clinical problems such as osteoarthritis and diabetic foot ulceration. Movement simulations, on the other hand, lack a representation of tissue deformations, which are indicators of mechanically induced pain and other sensory feedback (or the lack thereof) and will cause observable changes in gait. Exploration of these neuromusculoskeletal integrative mechanisms can only be accomplished by multi-domain simulations. Current techniques for multi-domain modeling are insufficient because forward dynamic movement simulations typically proceed along a sequence of many small steps in time. Finite element models are too slow to allow a solution at each of these steps. One may painstakingly produce a single movement simulation, but not the thousands of simulations that are required for predictive movement optimizations that are the state of the art in musculoskeletal dynamics. This has become a bottleneck for our own research, as well as for others. Our first aim, therefore, is to implement a generic, self-refining, surrogate modeling scheme, which aims to reproduce an underlying physics-based finite element model within a given error tolerance, but at a far lower computational cost. The self-refining feature is the key to reproduce the multi-dimensional input-output space of a typical finite element model of a joint or joint complex. Our second aim is to demonstrate the utility of these tools by connecting a finite element model of the foot to a complete musculoskeletal gait simulation, which will test the hypothesis that peak plantar pressures (an indicator of diabetic foot ulceration), can be lowered under safety thresholds by selecting a specific optimal muscle coordination pattern during gait. The proposed research will advance the computational environment at the Stanford Center for Biomedical Computation by providing basic surrogate modeling algorithms that are potentially applicable to other multiscale physics-based problems and also extend the Center’s efforts in neuromuscular biomechanics. | |
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Registered: 2006-09-01 17:19 |
Specimen specific finite element model to study cruciate mechanics.
- This project will create a model for the anterior and posterior cruciate ligaments (ACL and PCL)from magnetic resonance imaging (MRI) images. This model will allow users to discover the stresses, strains, and displacements of the ACL and PCL that will result from varying forces applied at different positions on the knee. | |
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Registered: 2014-05-27 18:02 |
Agent-Based Model of Skeletal Muscle Injury, Inflammation, and Regeneration
- This model simulates the sterile inflammation process that follows a muscle injury (contusion, laceration, etc). The simulation tracks key inflammatory cells (neutrophils and macrophages), as well as their secretions and interactions with native muscle cells (muscle fibers, satellite cells, fibroblasts). | |
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Activity Percentile: 0.00 Registered: 2015-06-25 19:33 |
Biomechanics of soft tissues in human knee joint
- Abnormal loading of the knee joint could be a result of injuries to the joint tissues like the menisci and ligaments. This subsequently leads to abnormal body weight distribution in the knee joint causing excessive forces in some regions of the joint likely leading to osteoarthritis. It is important to know the functions and relationships that exists between the mechanical properties of the tissues in the knee joint. This work seeks to experimentally characterize the tensile and rupture properties of menisci, cartilage, ligaments and cartilage to determine their strain-, time- and site-specific properties. | |
Activity Percentile: 0.00 Registered: 2014-04-03 17:50 |
Simple Immune System Response Agent Based Model
- This is a simple Agent Based Model of the immune response to a hypothetical wound. The model accompanies a Science News for Students article as a supplement to allow readers the opportunity to directly experiment with biological simulation. Adjust the strength of the immune response, the number of bacteria in the wound, the bacterial colony growth rate, and other parameters to view the time course of healing. | |
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Activity Percentile: 0.00 Registered: 2015-07-29 00:16 |
Virtual Prototyping for Prevention of Pressure Ulcers
- The goal of this project is to establish a computational modeling and simulation framework where an investigator can explore the importance of different mechanical variables on pressure ulcer formation and can evaluate isolated or combined effects of interventions on relative risk of pressure ulcer development. A finite element representation will incorporate the anatomy of an at-risk region, i.e. a bony prominence with multiple tissue layers, and also the deformation characteristics of the tissue layer and support surfaces. Given the loading on the region, simulations will predict internal and external mechanical variables that can be associated with pressure ulcer risk. | |
Registered: 2012-05-30 13:22 |
Agent-based model of skeletal muscle disuse-induced atrophy
- This project is a tissue level prediction of muscle atrophy. The model aims to incorporate cellular interactions to establish the extent of muscle atrophy observed during disuse. Current predictions are focused on muscle fiber CSA, but methods are being developed to analyze ECM content and turnover as well | |
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Activity Percentile: 0.00 Registered: 2015-01-19 17:07 |
3D visualization of spinal kinematics collected in 2D using Quantitative Fluoros
- 3D visualization of spinal kinematics collected in 2D using Quantitative Fluorosopy | |
Activity Percentile: 0.00 Registered: 2015-03-16 16:10 |
Acetaminophen Induced Liver Injury
- The AILI project is a type of In-Silico Liver (ISL) project, which consists of a body of Java code used and reused for exploring hypothetical liver mechanisms. For AILI, the liver mechanisms are those that cause cellular damage, specifically necrosis, because of exposure to acetaminophen. Moreover, the model, a mouse analog, is used for virtual experimentation to explore and explain AILI phenomena, analogous to wet-lab experimentation. A recent addition to this project is studying the disconnect between in vitro and in vivo wet-lab experiments by comparing and contrasting virtual Mouse and Culture Analogs. | |
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Activity Percentile: 0.00 Registered: 2015-05-07 23:25 |
Toward virtual biomedical experiments
- Envision a biomedical R&D landscape in which researchers plan detailed wet-lab experiments and execute them in a virtual laboratory—all before putting on their lab coat. They choose virtual reagents, lab equipment, and specimens; they implement virtual protocols and take virtual measurements using virtual instrumentation. They use the results of virtual experiments to design new or refocused wet-lab experiments, which they then conduct in a physical laboratory.
This is the virtual biomedical experiment (VBE) vision. A virtual biomedical experiment is a simulation of a wet-lab or clinical experiment. When developing a VBE, the modeler aspires to mimic particular relevant aspects of the referent experiment—from hypothesis formation to data analysis, and key concepts in between—not just features of the underlying biological processes. | |
Activity Percentile: 0.00 Registered: 2016-04-27 19:44 |
FEBio: Finite Elements for Biomechanics
- FEBio is a nonlinear finite element solver that is specifically designed for biomechanical applications. It offers modeling scenarios, constitutive models, and boundary conditions that are relevant to many research areas in biomechanics and biophysics. All features can be used together seamlessly, giving the user a powerful tool for solving 3D problems in computational biomechanics. The software is open-source, and pre-compiled executables for Windows, Mac OS X and Linux platforms are available.
Current modeling capabilities include:
* Large deformation quasi-static and dynamic structural mechanics analysis.
* Modeling of complex structures that contain a combination of deformable and rigid parts.
* Multiphasic modeling, where the solvent can contain any number of solutes that may undergo chemical reactions.
* Fluid mechanics analysis, both steady-state and transient
* Fluid-solid interaction (FSI), which combines the powerful solid and fluid solvers.
FEBio also supports a plugin framework that can be used to easily develop new features for FEBio, including new constitutive models, boundary conditions, and even entire new physics solvers.
For more information check out the FEBio website at http://www.febio.org | |
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Registered: 2007-09-14 16:08 |
26 projects in result set. Displaying 20 per page. Projects sorted by alphabetical order.
<1> <2>