Trabecular bone fracture healing simulation with finite element analysis and fuzzy logic

Abstract Knowledge of the failure properties of trabecular bone will lead to improved modeling of whole bone fracture and bone-prosthesis systems. Because trabecular bone is anisotropic, its yield properties are dependent on orientation. Defining a complete orthotropic yield criterion requires multiple material constants to be determined experimentally. As these constants can depend on both architecture and density, a large numbers of specimens would be needed to develop a complete criterion. This may not be feasible, especially for human bone, due to difficulties in obtaining suitable specimens.

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Three-dimensional computational model simulating the fracture healing process with both biphasic poroelastic finite element analysis and fuzzy logic control

Scientific Reports ◽

10.1038/s41598-018-25229-7 ◽

2018 ◽

Vol 8 (1) ◽

Cited By ~ 2

Author(s):

Monan Wang ◽

Ning Yang

Keyword(s):

Finite Element Analysis ◽

Finite Element ◽

Fuzzy Logic ◽

Computational Model ◽

Fracture Healing ◽

Fuzzy Logic Control ◽

Healing Process ◽

Three Dimensional ◽

Element Analysis ◽

Logic Control

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Real-time finite element analysis allows homogenization of tissue scale strains and reduces variance in a mouse defect healing model

Scientific Reports ◽

10.1038/s41598-021-92961-y ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Graeme R. Paul ◽

Esther Wehrle ◽

Duncan C. Tourolle ◽

Gisela A. Kuhn ◽

Ralph Müller

Keyword(s):

Finite Element Analysis ◽

Finite Element ◽

Fracture Healing ◽

Real Time ◽

Mechanical Stimulus ◽

Stimulus Level ◽

Micro Computed Tomography ◽

Reference Distribution ◽

Element Analysis ◽

Computed Tomography Images

AbstractMechanical loading allows both investigation into the mechano-regulation of fracture healing as well as interventions to improve fracture-healing outcomes such as delayed healing or non-unions. However, loading is seldom individualised or even targeted to an effective mechanical stimulus level within the bone tissue. In this study, we use micro-finite element analysis to demonstrate the result of using a constant loading assumption for all mouse femurs in a given group. We then contrast this with the application of an adaptive loading approach, denoted real time Finite Element adaptation, in which micro-computed tomography images provide the basis for micro-FE based simulations and the resulting strains are manipulated and targeted to a reference distribution. Using this approach, we demonstrate that individualised femoral loading leads to a better-specified strain distribution and lower variance in tissue mechanical stimulus across all mice, both longitudinally and cross-sectionally, while making sure that no overloading is occurring leading to refracture of the femur bones.

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PREDICTION OF THE TREND OF BONE FRACTURE HEALING BASED ON THE RESULTS OF THE EARLY STAGES SIMULATIONS: A FINITE ELEMENT STUDY

Journal of Mechanics in Medicine and Biology ◽

10.1142/s0219519419500210 ◽

2019 ◽

Vol 19 (05) ◽

pp. 1950021

Author(s):

JALIL NOURISA ◽

GHOLAMREZA ROUHI

Keyword(s):

Finite Element ◽

Fracture Healing ◽

Bone Fracture ◽

Mechanical Stability ◽

Early Stage ◽

Healing Process ◽

Fibrous Tissue ◽

Fe Model ◽

Bone Fracture Healing ◽

Early Stages

To date, several studies have implied the importance of early stage mechanical stability in the bone fracture healing process. This study aimed at finding a correlation between the predicted different tissue phenotypes in the early stages of healing and the ultimate healing outcome. For this purpose, the process of fracture healing was numerically simulated employing an axisymmetric bi-phasic finite element (FE) model for three initial gap sizes of 1, 3 and 6[Formula: see text]mm and four initial interfragmentary strains (IFS) of 7%, 11%, 15% and 19%. The model was validated with experimental and other numerical studies from the literature. Results of this study showed that the amount of cartilage and fibrous tissue observed in the early stage after fracture can be used to qualitatively assess the outcome of complete bone healing process. Greater amount of cartilage in early stage of healing process yielded faster callus maturation, and delayed maturation of callus was predicted in the case of high fibrous tissue production. Results of this study can be used to provide an estimation of the performance of different fixation systems by considering the amounts of cartilage and fibrous tissues observed in the early stage of healing.

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