Efficient Computation of Cartilage Contact Pressures within Dynamic Simulations of Movement.

IF 1.3 Q4 ENGINEERING, BIOMEDICAL
Colin R Smith, Kwang Won Choi, Dan Negrut, Darryl G Thelen
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Abstract

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. We created a knee model that included articular cartilage contact for the tibiofemoral and patellofemoral joints. Knee mechanics were then predicted within the context of a dynamic gait simulation. 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. Local cartilage contact pressure was then computed using an elastic foundation model. 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/mm2. However, pressure magnitudes converged at considerably lower mesh densities (2.6 triangles/mm2) where CPU and GPU implementations of collision detection exhibited equivalent performance. Simulated tibiofemoral contact locations were comparable to prior experimental measurements, while pressure magnitudes were similar to those predicted by finite element models. 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.

Abstract Image

Abstract Image

在运动动态模拟中高效计算软骨接触压力
本研究的目的是评估高级碰撞检测算法的使用情况,以模拟动态肌肉骨骼运动模拟中的软骨接触压力模式。我们创建了一个膝关节模型,其中包括胫骨股关节和髌骨股关节的关节软骨接触。然后在动态步态模拟中对膝关节力学进行预测。在模拟的每个时间步骤中,光线投射法与分层定向边界框(OBB)结合使用,可快速识别关节软骨表面之间的重叠区域。然后使用弹性地基模型计算局部软骨接触压力。在 GPU 上并行执行碰撞检测,当使用大于 10 个三角形/平方毫米的高分辨率网格密度时,速度最多可提高 10 倍。然而,压力大小在更低的网格密度(2.6 个三角形/平方毫米)下收敛,CPU 和 GPU 实施碰撞检测的性能相当。模拟的胫股骨接触位置与之前的实验测量结果相当,而压力大小与有限元模型预测的压力大小相似。我们的结论是,使用光线投射和分层 OBB 进行碰撞检测是模拟人体运动中关节接触力学的可行方法。
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来源期刊
CiteScore
2.80
自引率
6.20%
发文量
102
期刊介绍: Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization is an international journal whose main goals are to promote solutions of excellence for both imaging and visualization of biomedical data, and establish links among researchers, clinicians, the medical technology sector and end-users. The journal provides a comprehensive forum for discussion of the current state-of-the-art in the scientific fields related to imaging and visualization, including, but not limited to: Applications of Imaging and Visualization Computational Bio- imaging and Visualization Computer Aided Diagnosis, Surgery, Therapy and Treatment Data Processing and Analysis Devices for Imaging and Visualization Grid and High Performance Computing for Imaging and Visualization Human Perception in Imaging and Visualization Image Processing and Analysis Image-based Geometric Modelling Imaging and Visualization in Biomechanics Imaging and Visualization in Biomedical Engineering Medical Clinics Medical Imaging and Visualization Multi-modal Imaging and Visualization Multiscale Imaging and Visualization Scientific Visualization Software Development for Imaging and Visualization Telemedicine Systems and Applications Virtual Reality Visual Data Mining and Knowledge Discovery.
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