A method for a mechanical characterisation of human gluteal tissue
| Autor: | C, Then, J, Menger, G, Benderoth, M, Alizadeh, T J, Vogl, F, Hübner, G, Silber |
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| Rok vydání: | 2007 |
| Předmět: |
Pressure Ulcer
Compressive Strength Finite Element Analysis Magnetic Resonance Imaging Models Biological Elasticity Weight-Bearing Adipose Tissue Nonlinear Dynamics Reference Values Skin Physiological Phenomena Transducers Pressure Body Constitution Buttocks Humans Computer Simulation Stress Mechanical Muscle Skeletal |
| Zdroj: | Technology and health care : official journal of the European Society for Engineering and Medicine. 15(6) |
| ISSN: | 0928-7329 |
| Popis: | The most common complication associated with immobilization is pressure sores caused by sustained localized tissue strain and stress. Computational simulations have provided insight into tissue stress-strain distribution, subject to loading conditions. In the simulation process, adequate soft tissue material parameters are indispensable. An in vivo procedure to characterise material parameters of human gluteal skin/fat and muscle tissue has been developed. It employs a magnetic resonance imaging (MRI) device together with an MRI compatible loading device. Using the derived data as constraints in an iterative optimization process the inverse finite element (FE) method was applied. FE-models were built and the material constants describing skin/fat and muscle tissue were parameterized and optimized. Separate parameter sets for human gluteal skin/fat and muscle were established. The long-term shear modulus for human gluteal skin/fat was G_{infinity, S/F}= 1182 Pa and for muscle G_{infinity, M} = 1025 Pa. The Ogden form for slightly compressible materials was chosen to define passive human gluteal soft tissue material behaviour. To verify the approach, the human skin/fat-muscle tissue compound was simulated using the derived material parameter sets and the simulation result was compared to empirical values. A correlation factor of R;{2} = 0.997 was achieved. |
| Databáze: | OpenAIRE |
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