Cartilage morphology change is an important biomarker for the progression of osteoarthritis. In particular, combined cartilage tissue thicknesses below 4 mm were found to lead to substantially higher peak and average cartilage contact pressures. Articular Cartilage is a smooth hyaline spongy material between the tibia and femur bones of knee joint. Our simulations suggest that cartilage tissue thickness has a highly nonlinear effect on contact pressures during the stance phase of gait. We conclude the use of ray-casting with hierarchical OBB for collision detection is a viable method for simulating joint contact mechanics in human movement.Ĭartilage contact pressure collision detection elastic foundation joint contact. understanding the causes and treatment of OA. The loss of GAGs from these joints is the hallmark of. The remaining mass of cartilage is composed mostly of collagen (10-20) and water (68-85). Articular or joint cartilage is the smooth hydrated tissue in the ends of bones in load-bearing joints, such as knees, hips and shoulders. Simulated tibiofemoral contact locations were comparable to prior experimental measurements, while pressure magnitudes were similar to those predicted by finite element models. are key components in conferring cartilage with its resistance to com-pressive loads. Come and catch up with old friends and meet some new ones Reservations are required as seat- ing is limited to 100 conference attendees. However, pressure magnitudes converged at considerably lower mesh densities (2.6 triangles/mm 2) where CPU and GPU implementations of collision detection exhibited equivalent performance. Human articular cartilage: influence of aging and early symptomatic degeneration on the spatial variation of T2-prelimenary findings at 3T. CrossRef Google Scholar Mosher TJ, Dardzinski BJ, Smith MB (2000). Collision detection implemented in parallel on a GPU provided up to a 10× speed increase when using high resolution mesh densities that had >10 triangles/mm 2. Osteoarthritis and Cartilage, Volume 15, Issue 7, Pages 789797. Local cartilage contact pressure was then computed using an elastic foundation model. At each time step of a simulation, ray-casting was used in conjunction with hierarchical oriented bounding boxes (OBB) to rapidly identify regions of overlap between articulating cartilage surfaces. Knee mechanics were then predicted within the context of a dynamic gait simulation. Improved and artifact-free 3-D visualization of the cartilage canals was demonstrated by QSM processing of the data, especially by utilizing susceptibility data as an enhancing mask. We created a knee model that included articular cartilage contact for the tibiofemoral and patellofemoral joints. Both the femoral and tibial components are treated this way. The objective of this study was to assess the use of an advanced collision detection algorithm to simulate cartilage contact pressure patterns within dynamic musculoskeletal simulations of movement. The cartilage is modeled as neo-hookean with a density of 1100kg/m3, 3.3MPa stiffness, and 0.4 poissons.
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