基于机械曲模型的函数家族的管柔性针的路径规划
He Zhang1, Yan-Jiang Zhao1,2, Yong-De Zhang1
1Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin, Heilongjiang, China.
概括
一个新的曲模型和路径规划算法提高了灵活的针插入精度. 这种新的方法通过克服传统动力学模型的局限性,提高了手术精度.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 医疗器械 医疗器械
- 手术导航 手术导航
背景情况:
- 传统的柔性针使用理想化的动力学模型来规划路径.
- 这些模型无法准确地表示针曲,导致了严重的插入错误.
- 软针提供了增强的灵活性和路径校正能力.
研究的目的:
- 根据大曲理论,开发一个精确的曲模型,用于入的柔性针.
- 提出一个改进的路径规划算法,用于在障碍丰富的环境中灵活的针.
- 通过模拟和实验验证拟议的算法的有效性和准确性.
主要方法:
- 开发了一种大型曲模型,用于入的柔性针.
- 使用实验数据,制定了 stylet 扩展和模型离散之间的关系.
- 建立了一个函数来描述针曲相对于 styllet 扩展.
- 实施了改进的快速探索随机树算法用于路径规划.
- 进行了比较模拟和实验验证.
主要成果:
- 与基于轮的模型相比,拟议的路径规划算法显示出更高的搜索速度和更短的总插入长度.
- 实验插入实现了0.77和0.91毫米的平均误差,最大误差为1.2和1.5毫米.
- 该算法的准确性满足了普通手术的临床要求.
结论:
- 开发的曲模型准确地预测了入的柔性针头中的大偏移.
- 改进的路径规划算法提高了柔性针插入的精度和效率.
- 这种方法为最小侵入性外科手术程序提供了显著的进步.
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