基于关节置换术的点云配准测试方法研究

Minghe Xia, Wenhao Liu, Dibin Zhou
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引用次数: 0

摘要

在手术导航系统中,点云配准技术决定了手术导航的精度。对人工关节进行智能分析以实现更高质量的测量已成为点云配准中亟待解决的问题。提出了基于深度学习的人工关节置换术点云采集实验设计和配准测试方法。实验结果表明,该算法可以提高手术精度。(抽象)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on test method of point cloud registration based on joint replacement
In a surgical navigation system, point cloud registration technology determines the accuracy of surgical navigation. Intelligent analysis of artificial joints to achieve higher quality measurement has become an urgent problem in point cloud registration. Based on deep learning, the experimental design and registration test method of point cloud acquisition based on artificial joint replacement are proposed. Experimental results show that the new algorithm can improve surgical accuracy. (Abstract)
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