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首页> 外文期刊>IEEE Transactions on Robotics >Corneal Suturing Robot Capable of Producing Sutures With Desired Shape for Corneal Transplantation Surgery
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Corneal Suturing Robot Capable of Producing Sutures With Desired Shape for Corneal Transplantation Surgery

机译:角膜缝线机器人能够用所需形状生产缝合线,用于角膜移植手术

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摘要

In corneal transplantation, 16 submillimeter-sized sutures are generated around the circular-shaped graft cornea. A major challenge in corneal transplantation is the generation of uniformly shaped sutures, where the suture shapes need to be changed depending on the patient. In this study, a corneal suturing robot that can produce sutures of the desired shape with high uniformity is described. The proposed robot manipulates the corneal tissue deformation before inserting the needle for suture shape control. A simulation using the finite element method was proposed to predict the suture shape. The suturing experiment was conducted on a porcine model, and the result was compared with the simulation. As a result, the proposed robot was able to generate sutures with a standard deviation of 108 mu m in length and 36 mu m in depth. The mean absolute error between the simulation and the experiment was 95 mu m in length and 31 mu m in depth. This is the first study to suggest a method for controlling the suture shape and quantitatively analyzing it in ophthalmic surgery.
机译:在角膜移植中,围绕圆形移植角膜产生了16个亚颌下尺寸的缝合线。角膜移植中的主要挑战是均匀形状的缝合线的产生,其中缝合形状需要根据患者而改变。在这项研究中,描述了可以产生具有高均匀性的所需形状的缝合线的角膜缝合机器人。在将针插入缝合线形状控制之前,所提出的机器人操纵角膜组织变形。提出了一种使用有限元方法的模拟来预测缝合线形状。缝合实验在猪模型上进行,结果与模拟进行了比较。结果,所提出的机器人能够产生缝合线,其标准偏差长度为108μm,深度为36μm。模拟与实验之间的平均绝对误差为95μm的长度和31μm深度。这是第一次提出一种用于控制缝合线形状和定量分析眼科手术的方法的研究。

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