期刊
JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME
卷 132, 期 2, 页码 -出版社
ASME
DOI: 10.1115/1.4000939
关键词
motion analysis; simulation; ligament; ligament strain; plantar ligament; plantar fascia; spring ligament; three-dimensional; arch height
资金
- Bioengineering Division of ASME
The aim of this work was the design and evaluation of a computational model to predict the functional behavior of the lower leg and foot/ankle complex whereby joint behavior was dictated by three-dimensional articular contact. ligamentous constraints, muscle loading, and external perturbation. Three-dimensional bony anatomy was generated from stacked CT images after which ligament mimicking elements were attached and muscle/body, loading added to recreate the experimental conditions of selected cadaveric studies. Comparisons of model predictions to results from two different experimental studies were performed for the function of the medial arch in weight bearing stance and the contributions of soft tissue structures to arch stability. Sensitivity simulations evaluated selected lit situ strain and stiffness values for ligament tissue. The greatest contributor to arch stability was the plantar fascia. which provided 79.5% of the resistance to arch collapse, followed by the plantar ligaments (12.5%), and finally, the spring ligament (8.0%). Strains measured after plantar fasciotomy increased lit the remaining plantar ligament by similar to 300% and spring ligament by similar to 200%. Sensitivity tests varying both lit situ strain and stiffness across reported standard deviations showed that functional trends remained the sat ne and true to experimental data, although absolute magnitudes changed. While not measured experimentally. the model also predicted that load can increase dramatically lit the remaining plantar tissues when one of such tissues is removed. Overall, computational predictions of stability, and soft tissue load sharing compared well with experimental findings. The strength of this simulation approach lies in its capacity to predict biomechanical behavior of modeled structures and to capture physical parameters of interest not measurable in experimental simulations or in vivo. [DOI: 10.1115/1.4000939]
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