Finite element analysis of knee and ankle joint during gait based on motion analysis

Park, Sangbaek; Lee, Seungju; Yoon, Jung Min; Chae, Soo Won

doi:10.1016/j.medengphy.2018.11.003

Cited by 46 publications

(19 citation statements)

References 47 publications

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“…These markers include T 2 and T 1 relaxation times, which are related to water content, collagen distribution, and proteoglycans density [184][185][186], which can be considered as FE model inputs. Early in this review, we highlighted how Räsänen et al [86,87] used 23 Na-MRI information as input data for FEAs of the knee. Though the distribution of MRI parameters can be transferred into the distribution of mechanical parameters in FE models, the workflow behind this translation is time-consuming.…”

Section: Discussionmentioning

confidence: 99%

“…At the organ scale, Räsänen et al [86,87] studied the effect of in vivo fixed charge density (FCD) distribution in knee cartilage under different loading conditions. To do so, they obtained the FCD distribution using 23 Na-MRI and used a fibril-reinforced poroviscoelastic with swelling effect formulation for cartilage and menisci. First, in [86], they compared the MRI-based tibial cartilage deformation before and after the standing period with the patient bearing half of their weight for 13 min statically.…”

Section: Materials Constitutive Modelsmentioning

confidence: 99%

“…FEA has been, for three decades, a non-invasive strategy to study how different biomechanical risk factors may impact knee joint tissues. It has helped researchers understand cartilage degeneration mechanisms at the tissue level and knee joint biomechanics under various loading conditions in health and disease [21][22][23][24][25][26][27][28][29].…”

Section: Introductionmentioning

confidence: 99%

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Expediting Finite Element Analyses for Subject-Specific Studies of Knee Osteoarthritis: A Literature Review

et al. 2021

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Osteoarthritis (OA) is a degenerative disease that affects the synovial joints, especially the knee joint, diminishing the ability of patients to perform daily physical activities. Unfortunately, there is no cure for this nearly irreversible musculoskeletal disorder. Nowadays, many researchers aim for in silico-based methods to simulate personalized risks for the onset and progression of OA and evaluate the effects of different conservative preventative actions. Finite element analysis (FEA) has been considered a promising method to be developed for knee OA management. The FEA pipeline consists of three well-established phases: pre-processing, processing, and post-processing. Currently, these phases are time-consuming, making the FEA workflow cumbersome for the clinical environment. Hence, in this narrative review, we overviewed present-day trends towards clinical methods for subject-specific knee OA studies utilizing FEA. We reviewed studies focused on understanding mechanisms that initiate knee OA and expediting the FEA workflow applied to the whole-organ level. Based on the current trends we observed, we believe that forthcoming knee FEAs will provide nearly real-time predictions for the personalized risk of developing knee OA. These analyses will integrate subject-specific geometries, loading conditions, and estimations of local tissue mechanical properties. This will be achieved by combining state-of-the-art FEA workflows with automated approaches aided by machine learning techniques.

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Section: Discussionmentioning

confidence: 99%

Section: Materials Constitutive Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Expediting Finite Element Analyses for Subject-Specific Studies of Knee Osteoarthritis: A Literature Review

et al. 2021

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“…It can be found from the published literature that there are two main kinds of methods. The first method is 3D model reconstruction in accordance with single-modality medical image such as computed tomography (CT) [ 30 , 31 , 32 , 33 , 34 , 35 , 36 ] or magnetic resonance imaging (MRI) [ 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 ]. The second method is to reconstruct more complete and accurate 3D model based on multi-modality medical images such as CT and MRI [ 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 ].…”

Section: Introductionmentioning

confidence: 99%

Reconstruction and optimization of the 3D geometric anatomy structure model for subject-specific human knee joint based on CT and MRI images

Niu

Qin

Bai

et al. 2021

THC

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BACKGROUND: Nowadays, the total knee arthroplasty (TKA) technique plays an important role in surgical treatment for patients with severe knee osteoarthritis (OA). However, there are still several key issues such as promotion of osteotomy accuracy and prosthesis matching degree that need to be addressed. OBJECTIVE: It is significant to construct an accurate three-dimensional (3D) geometric anatomy structure model of subject-specific human knee joint with major bone and soft tissue structures, which greatly contributes to obtaining personalized osteotomy guide plate and suitable size of prosthesis. METHODS: Considering different soft tissue structures, MRI scanning sequences involving two-dimensional (2D) spin echo (SE) sequence T1 weighted image (T1WI) and 3D SE sequence T2 weighted image (T2WI) fat suppression (FS) are selected. A 3D modeling methodology based on CT and two sets of MRI images is proposed. RESULTS: According to the proposed methods of image segmentation and 3D model registration, a novel 3D knee joint model with high accuracy is finally constructed. Furthermore, remeshing is used to optimize the established model by adjusting the relevant parameters. CONCLUSIONS: The modeling results demonstrate that reconstruction and optimization model of 3D knee joint can clearly and accurately reflect the key characteristics, including anatomical structure and geometric morphology for each component.

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“…The prevalence of knee pain increased with age and was highest among the older residents aged 60-69 years and the prevalence was higher among females than males. 3 While computational stress analysis of the knee joint has been reported in several publications, [4][5][6][7][8][9][10][11][12][13][14][15] there are still many aspects that require more investigation. The first aim of this study was to determine stress envelopes of an intact tibiofemoral joint in response to different axial load levels, external-internal rotation and varusvalgus motion scenarios.…”

Section: Introductionmentioning

confidence: 99%

Stress response envelopes of intact tibiofemoral joint and knee osteoarthritis

Haris

Tan

2020

Proc Inst Mech Eng H

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The purpose of this study was to determine stress envelopes for an intact tibiofemoral joint and to study how they vary with knee loading, external–internal rotation, varus–valgus rotation and cartilage degradation (osteoarthritis) using the finite element method. The envelopes were presented in terms of knee flexion angle. The maximum von Mises stress for all tibiofemoral joint components increased with increasing the axial compressive force magnitude. Menisci exhibited the highest magnitude of maximum von Mises stress as compared to the femoral and tibial cartilages. In a range of flexion angles between 0° and 100°, the medial meniscus exhibited the highest maximum von Mises stress than the lateral meniscus and the stress in medial meniscus tended to increase with increasing the flexion angle. External–internal and varus–valgus rotations changed the stress distribution: higher stress on lateral compartment but lower stress on medial compartment, and conversely. The internal rotation provided more extreme effect than the external rotation. For the knee osteoarthritis, cartilage degradation (early stage) caused maximum von Mises stress to increase on the intact menisci revealing that knee osteoarthritis could also cause meniscal tear. The late osteoarthritis caused the maximum von Mises stress to increase on the calcified cartilage and subchondral bone.

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Finite element analysis of knee and ankle joint during gait based on motion analysis

Cited by 46 publications

References 47 publications

Expediting Finite Element Analyses for Subject-Specific Studies of Knee Osteoarthritis: A Literature Review

Expediting Finite Element Analyses for Subject-Specific Studies of Knee Osteoarthritis: A Literature Review

Reconstruction and optimization of the 3D geometric anatomy structure model for subject-specific human knee joint based on CT and MRI images

Stress response envelopes of intact tibiofemoral joint and knee osteoarthritis

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