A Review of Finite Element Models of Ligaments in the Foot and Considerations for Practical Application

Zhu, Junjun; Forman, Jason

doi:10.1115/1.4053401

Cited by 10 publications

(5 citation statements)

References 117 publications

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“…For this reason, the peak reaction moments in the hammer toe foot are lower than the values in the healthy foot. The plantar fascia is a significant contributing factor to foot stability [51,84]. As shown in Fig.…”

Section: Discussionmentioning

confidence: 99%

An investigation into the hammer toe effects on the lower extremity mechanics and plantar fascia tension: A case for a vicious cycle and progressive damage.

Moayedi

Arshi

Salehi

et al. 2022

Preprint

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Predicting and being aware of the side effects of the damage in one limb on the performance of other limbs is very important in the prevention of progressive damages. Finite element (FE) and musculoskeletal modeling can be helpful in this way. Hence, the aim of this study is to investigate the side effects of the hammer toe deformity on the lower extremity, especially on the plantar fascia functions. To compare the joint reactions of the hammer toe and healthy foot (HF), two musculoskeletal models (MSM) of the healthy and the hammer toe foot (HTF) subject were developed based on gait analysis. A previously validated 3D finite element model was constructed using Magnetic Resonance Imaging (MRI) of the diabetic participant with the hammer toe deformity processed at five different events during the stance phase of gait. It was found that the hammer toe deformity makes dorsiflexion of the toes, and the windlass mechanism is less effective during walking. Specifically, the FE analysis results showed that plantar fascia (PF) in HTF compared to HF played a less dominant role in load bearing with both medial and lateral parts loaded. Also, the results indicated that the stored elastic energy in PF was less in HTF than the HF, which can indicate a metabolic cost during walking. Internal stress distribution shows that the majority of ground reaction forces are transmitted through the lateral metatarsals in hammer toe foot, and the probability of fifth metatarsal fracture and also progressive deformity like tailor's bunion was subsequently increased. The MSM results showed that the joint reaction forces and moments in hammer toe foot have deviated from normal function, with the metatarsophalangeal joint showing that the reactions in hammer toe are less than the healthy foot. This can indicate a viscous cycle of foot deformity, increased internal stresses, change in muscle forces and joint kinetics and plantar fascia tensile forces from normal, which can lead to increase the risk of ulceration in the diabetic foot.

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Section: Discussionmentioning

confidence: 99%

An investigation into the hammer toe effects on the lower extremity mechanics and plantar fascia tension: A case for a vicious cycle and progressive damage.

Moayedi

Arshi

Salehi

et al. 2022

Preprint

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“…Coronary-artery fractional -flow reserve [40] Identification of minimal number of patient variables to estimate fractional flow reserve While these models can lead to improved diagnostic criteria, a number of limitations need to be addressed. These include the limitations of the imaging technology in the provision of sufficient resolution, the need to validate the model with clinical data, detailed information about loading conditions, and the need for models to incorporate features that depend on age, sex, and race in order to account for population variability [41]. While developed to address orthopedic models, many of the critiques are valid for all biomechanical models.…”

Section: Single Functional Ventricles [39]mentioning

confidence: 99%

The Potential of Deep Learning to Advance Clinical Applications of Computational Biomechanics

Truskey

2023

Bioengineering

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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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“…FE analysis offers an alternative to experimental measurements and has been adopted to investigate the biomechanical effects of surgical treatment strategies, implant designs, and orthosis parameters [ 18 ]. Regarding the foot orthoses designs, previous studies have proposed different foot models [ 19 , 20 ].…”

Section: Introductionmentioning

confidence: 99%

Custom orthotic design by integrating 3D scanning and subject-specific FE modelling workflow

Peng,

Wang,

Zhang

et al. 2024

Med Biol Eng Comput

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The finite element (FE) foot model can help estimate pathomechanics and improve the customized foot orthoses design. However, the procedure of developing FE models can be time-consuming and costly. This study aimed to develop a subject-specific scaled foot modelling workflow for the foot orthoses design based on the scanned foot surface data. Six participants (twelve feet) were collected for the foot finite element modelling. The subject-specific surface-based finite element model (SFEM) was established by incorporating the scanned foot surface and scaled foot bone geometries. The geometric deviations between the scaled and the scanned foot surfaces were calculated. The SFEM model was adopted to predict barefoot and foot-orthosis interface pressures. The averaged distances between the scaled and scanned foot surfaces were 0.23 ± 0.09 mm. There was no significant difference for the hallux, medial forefoot, middle forefoot, midfoot, medial hindfoot, and lateral hindfoot, except for the lateral forefoot region (p = 0.045). The SFEM model evaluated slightly higher foot-orthoses interface pressure values than measured, with a maximum deviation of 7.1%. These results indicated that the SFEM technique could predict the barefoot and foot-orthoses interface pressure, which has the potential to expedite the process of orthotic design and optimization. Graphical abstract

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A Review of Finite Element Models of Ligaments in the Foot and Considerations for Practical Application

Cited by 10 publications

References 117 publications

An investigation into the hammer toe effects on the lower extremity mechanics and plantar fascia tension: A case for a vicious cycle and progressive damage.

An investigation into the hammer toe effects on the lower extremity mechanics and plantar fascia tension: A case for a vicious cycle and progressive damage.

The Potential of Deep Learning to Advance Clinical Applications of Computational Biomechanics

Custom orthotic design by integrating 3D scanning and subject-specific FE modelling workflow

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