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Development and evaluation of an identification method for the biomechanical parameters using robotic force measurements, medical images, and FEA

机译:机器人力测量,医学图像和有限元分析法对生物力学参数识别方法的开发和评估

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This paper presents a new identification method for the biomechanical parameters of human tissues for the purpose of improving the accuracy of dynamic organ simulation. We describe the formulation of the method, and also design a robotic system to implement the method using a robotic probe, a medical imaging device, and a numerical simulator for the finite element analysis (FEA). We carried out an experiment using an experimental system and a tissue phantom to verify the effectiveness of the method. The results of this experiment show that the Young's modulus of the tissue phantom can be estimated with the experimental system. We also compared the estimated values of the Young's moduli with the measured values from a rheometer. These results confirm that the identification method and the system design, proposed and developed in this work, are effective for accurately simulating organ behavior.
机译:为了提高动态器官仿真的准确性,本文提出了一种新的人体组织生物力学参数识别方法。我们描述了该方法的公式,还设计了一个机器人系统以使用机器人探针,医学成像设备和用于有限元分析(FEA)的数值模拟器来实现该方法。我们使用实验系统和组织体模进行了实验,以验证该方法的有效性。该实验的结果表明,可以通过实验系统来估计组织体模的杨氏模量。我们还将杨氏模量的估计值与流变仪的测量值进行了比较。这些结果证实了在这项工作中提出和开发的识别方法和系统设计对于有效地模拟器官行为是有效的。

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