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Tool-Tissue Force Estimation in Laparoscopic Surgery Using Geometric Features

机译:使用几何特征的腹腔镜手术中的工具组织力估计

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摘要

This paper introduces three geometric features, from deformed shape of a soft tissue, which demonstrate good correlation with probing force and maximum local stress. Using FEM simulation, 2D and 3D model of an in vivo porcine liver was built for different probing tasks. Maximum deformation angle, maximum deformation depth and width of displacement constraint of the reconstructed shape of the deformed body were calculated. Two neural networks were trained from these features and the calculated interaction forces. The features are shown to have high potential to provide force estimation either for haptic devices or to assess the damage to the tissue in large deformations of up to 40%.
机译:本文介绍了三个几何特征,从软组织的变形形状介绍,表现出与探测力和最大局部应力的良好相关性。使用FEM仿真,为不同的探测任务建立了体内猪肝中的2D和3D模型。计算了变形体的重建形状的最大变形角度,最大变形深度和位移约束的偏移约束。从这些特征和计算的交互力训练了两个神经网络。该特征被示出为具有高潜力,以提供用于触觉装置的力估计,或者在大变形中评估组织的损伤,高达40%。

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