The tibiofemoral joint is a complex structure and its overall mechanical response is dictated by its numerous substructures at both macro and micro levels. An in-depth understanding of the mechanics of the joint is necessary to develop preventative measures and treatment options for pathological conditions and common injuries. Finite element (FE) analysis is a widely used tool in joint biomechanics studies focused on understanding the underlying mechanical behavior at joint, tissue and cell levels [1]. Studies, regardless of their purpose (descriptive or predictive), when employing FE analysis, require anatomical and mechanical data at single or multiple scales. It is also critical that FE representations are validated and closely represent specifics of the joint of interest, anatomically and mechanically. This is an utmost need if these models are intended to be used to support clinical decision making (in surgery or for rehabilitation) and for the development of implants.
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ASME 2013 Conference on Frontiers in Medical Devices: Applications of Computer Modeling and Simulation
September 11–13, 2013
Washington, DC, USA
Conference Sponsors:
- Bioengineering Division
ISBN:
978-0-7918-5600-0
PROCEEDINGS PAPER
A Multiscale Specimen-Specific Data Set to Enable Comprehensive Modeling and Simulation of the Tibiofemoral Joint
Snehal Chokhandre,
Snehal Chokhandre
Cleveland Clinic, Cleveland, OH
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Ahmet Erdemir
Ahmet Erdemir
Cleveland Clinic, Cleveland, OH
Search for other works by this author on:
Snehal Chokhandre
Cleveland Clinic, Cleveland, OH
Ahmet Erdemir
Cleveland Clinic, Cleveland, OH
Paper No:
FMD2013-16117, V001T10A027; 2 pages
Published Online:
February 19, 2014
Citation
Chokhandre, S, & Erdemir, A. "A Multiscale Specimen-Specific Data Set to Enable Comprehensive Modeling and Simulation of the Tibiofemoral Joint." Proceedings of the ASME 2013 Conference on Frontiers in Medical Devices: Applications of Computer Modeling and Simulation. ASME 2013 Conference on Frontiers in Medical Devices: Applications of Computer Modeling and Simulation. Washington, DC, USA. September 11–13, 2013. V001T10A027. ASME. https://doi.org/10.1115/FMD2013-16117
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