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3D Dynamic Motion Planning for Robot-assisted Cannula Flexible Needle Insertion into Soft Tissue

机译:机器人辅助插管柔性针头插入软组织的3D动态运动规划

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摘要

In robot-assisted needle-based medical procedures, insertion motion planning is a crucial aspect. 3D dynamic motion planning for a cannula flexible needle is challenging with regard to the nonholonomic motion of the needle tip, the presence of anatomic obstacles or sensitive organs in the needle path, as well as uncertainties due to the dynamic environment caused by the movements and deformations of the organs. The kinematics of the cannula flexible needle is calculated in this paper. Based on a rapid and robust static motion planning algorithm, referred to as greedy heuristic and reachability-guided rapidly-exploring random trees, a 3D dynamic motion planner is developed by using replanning. Aiming at the large detour problem, the convergence problem and the accuracy problem that replanning encounters, three novel strategies are proposed and integrated into the conventional replanning algorithm. Comparisons are made between algorithms with and without the strategies to verify their validity. Simulations showed that the proposed algorithm can overcome the above-noted problems to realize real-time replanning in a 3D dynamic environment, which is appropriate for intraoperative planning.
机译:在机器人辅助针对基于针对的医疗程序中,插入运动规划是一个至关重要的方面。 3D用于柔性针头的动态运动规划对于针尖的非完整运动来挑战,针尖的存在或针路径中的解剖障碍物或敏感器官以及由于运动和变形引起的动态环境而导致的不确定性器官。本文计算了套管柔性针的运动学。基于快速稳健的静态运动规划算法,称为贪婪启发式和可达性引导的快速探索随机树,通过使用重新扫描来开发3D动态运动计划。针对大的迂回问题,融合问题和复制遇到的准确性问题,提出了三种新策略,并集成到传统的重新恢复算法中。在算法之间进行比较,无需验证其有效性。模拟表明,所提出的算法可以克服上述问题,以实现3D动态环境中的实时重新扫描,这适用于术中规划。

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