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A Kinematics-Based Method For Generating Cartilage Maps and Deformations in the Multi-Articulating Wrist Joint From CT Images

机译:基于运动学的CT图像在多关节腕关节中生成软骨图和变形的方法

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We present a non-invasive method for estimating individual-specific cartilage maps directly from in vivo kinematic data and computed tomography (CT) volume images, and a novel algorithm for computing cartilage surface deformations. Our proposed cartilage model, a meshless incompressible height-field captures the physical properties important for estimating the shape, contact area, and deformation magnitude of cartilage at each articulation. This cartilage model can serve as an effective building block for a future forward-dynamic predictive model of the human wrist
机译:我们提出了一种直接从体内运动学数据和计算机断层扫描(CT)体积图像直接估算个体特异性软骨图的非侵入性方法,以及一种用于计算软骨表面变形的新颖算法。我们提出的软骨模型,一种无网格的不可压缩的高度场,捕获了对于估计每次关节的软骨的形状,接触面积和变形量非常重要的物理特性。这种软骨模型可以作为未来人类手腕前向动态预测模型的有效构建块

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